JP2011206285A - Apparatus and method for measuring biological information - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an apparatus and a method for measuring biological information which acquire biological information while reducing noises by simple processing and reducing power consumption.SOLUTION: The apparatus for measuring biological information Sa includes a sensor section 1 for measuring a predetermined physiological phenomenon of a living body which is a measurement object and outputting measurement data, a histogram calculating section 35 for calculating a histogram on the basis of the measurement data, a noise index calculating section 37 for calculating a predetermined noise index that shows degree of noise contained in the measurement data, and an expected value calculating section 38a which changes, when the noise index is identical to or larger than a predetermined threshold, at least one of an upper limit value and a lower limit value within a preset predetermined integration range and calculates an expected value using the histogram within the changed integration range. The apparatus for measuring biological information acquires predetermined biological information on the basis of the expected value calculated by the expected value calculating section 38a.

Description

  The present invention relates to a biological information measuring apparatus that measures biological information related to a living body by measuring physiological phenomena of the living body, and in particular, even when noise occurs due to, for example, body movement of the living body, for example, blood oxygen saturation or pulse rate The present invention relates to a biological information measuring device and a biological information measuring method capable of suitably measuring numbers and the like.

  As is well known, the significance of monitoring the oxygen concentration in living tissue is extremely great in clinical practice. Oxygen is the most important substance for maintaining life activity, and biological tissue cells are seriously injured when the supply of oxygen is cut off. Therefore, parameters relating to oxygen supply are considered to be important. For this reason, when oxygen supply can become unstable, for example, when treating patients with anesthesia, post-surgery, respiratory failure and circulatory failure, monitor whether or not oxygen is being supplied appropriately This is very important. This oxygen supply to the living tissue is performed by arterial blood. Therefore, in order to grasp whether or not oxygen supply to the living tissue is appropriately performed, living body information such as a pulse rate and blood oxygen saturation is monitored.

  Conventionally, a biological information measuring device called a pulse oximeter is known as a device for measuring biological information such as the pulse rate and blood oxygen saturation. This biological information measuring device uses a fluctuation component in the amount of transmitted or reflected light of living tissue caused by pulsation of arterial blood, and measures the attenuation of pulsation with two different wavelengths of light, and calculates the oxygen saturation from the ratio. It is a device to seek. In this biological information measuring device, noise is generated due to, for example, body movements of the living body. Therefore, it is necessary to remove or reduce this noise. For example, Patent Literature 1 and Patent Literature 2 disclose devices for removing noise. .

  The blood absorption substance measuring device disclosed in Patent Document 1 includes a light irradiating unit that irradiates a living tissue with light having a plurality of different wavelengths, and a light transmitted from the light irradiating unit and transmitted or reflected by the living tissue. A light receiving means for receiving the light and outputting a signal corresponding to the intensity thereof, a direct current alternating current detecting means for obtaining a direct current component and an alternating current component of the output signal of the light receiving means corresponding to each wavelength, and the direct current AC / DC ratio detection means for obtaining an AC / DC ratio signal, which is a ratio of an AC component and a DC component for each wavelength obtained by the AC detection means, and an AC / DC ratio signal for each wavelength obtained by the AC / DC ratio detection means. Based on the component extraction means for extracting components above the frequency, the extraction component ratio detection means for obtaining the ratio of the extracted component signals of each wavelength extracted by the component extraction means, and the ratio detected by the extraction component ratio detection means There constructed and a blood absorbing substance information detection means for detecting information about light absorbing material in the blood. The blood light-absorbing substance information detecting means, for example, when determining the blood oxygen saturation, the pulse wave signal (AC / DC) S1 for the first wavelength and the pulse wave signal (AC / DC) for the second wavelength. Assuming that the ratio with S2 is Φ, the ratio Φ is sequentially changed, and for each ratio Φ, the equation: ΔA2-ΦΔA1 = (Φ-Ψ) (AC / DC) S1 and the equation; ΔA2- The cross-correlation of ΨΔA1 = (Ψ−Φ) (AC / DC) N1 is obtained to obtain a ratio Φ where the correlation coefficient is 0, and the oxygen saturation is obtained from this ratio Φ. Here, ΔA1 is a measurement signal in the case of the first wavelength, ΔA2 is a measurement signal in the case of the second wavelength, and ψ represents each of the measurement signals ΔA1 and ΔA2 by ΔA1 = ( (AC / DC) S1 + (AC / DC) N1, .DELTA.A2 = (AC / DC) S2 + (AC / DC) N2 when divided into signal components and noise components, such as {(AC / DC) N2} / {(AC / DC) N1}.

  Further, the pulse oximeter disclosed in Patent Document 2 is configured to receive a light source configured to irradiate a living tissue with light having a plurality of wavelengths, and to receive transmitted light or reflected light from the living tissue for each wavelength. A light receiving means configured to store a temporal change in transmitted light, and a signal for each wavelength obtained by the light receiving means to obtain a dimming degree based on a variation thereof, and for two different wavelengths Based on the signal obtained by the light intensity ratio calculating means configured to obtain the ratio and the light receiving means or the light intensity ratio calculating means, a difference in oxygen saturation between arterial blood and venous blood or a parameter relating to arterial blood and venous blood An optimum constant calculating means configured to obtain an optimum constant consisting of the difference between the signal, the signal obtained by the light receiving means or the attenuation ratio calculating means, and the optimum constant calculated by the optimum constant calculating means Using the value constituted by a SpO2 calculation means arranged to determine the arterial oxygen saturation or venous blood oxygen saturation in the living tissue. The optimum constant calculating means stores the signal of the dimming ratio calculating means for a predetermined timing designation section when the difference between the arterial blood oxygen saturation and the venous blood oxygen saturation is α, for example. Change α sequentially, calculate temporary arterial oxygen saturation using each temporary α, calculate variation in arterial oxygen saturation of each temporary α, and optimize α that minimizes the variation It is determined as a constant.

Japanese Patent No. 3627214 JP 2007-295973 A

  By the way, in the blood light-absorbing substance measuring device disclosed in Patent Document 1, it is necessary to sequentially change the ratio Φ, and in the pulse oximeter disclosed in Patent Document 2, the α is sequentially changed. There is a need. For this reason, in each of the devices disclosed in Patent Document 1 and Patent Document 2, the amount of calculation processing is relatively large. As a result, the amount of calculation processing is relatively large, resulting in an increase in power consumption. End up.

  The present invention is an invention made in view of the above-described circumstances, and its purpose is to measure biological information by which it is possible to obtain biological information while reducing noise by simpler processing and to reduce power consumption. An apparatus and a biological information measurement method are provided.

  As a result of various studies, the present inventor has found that the above object is achieved by the present invention described below. That is, the biological information measuring device according to one aspect of the present invention is based on a measurement unit that measures a predetermined physiological phenomenon in a living body to be measured and outputs measurement data, and the measurement data measured by the measurement unit. A histogram calculation unit for obtaining a histogram, a noise index calculation unit for calculating a predetermined noise index representing the degree of noise included in the measurement data, and the noise index calculated by the noise index calculation unit are equal to or greater than a predetermined threshold value In this case, at least one of the upper limit value and the lower limit value in a predetermined integration range set in advance is changed, and the expected value is calculated using the histogram obtained by the histogram calculation unit in the integration range after the change. An expected value calculation unit that calculates the predetermined biological information based on the expected value calculated by the expected value calculation unit. Characterized in that it comprises a biological information calculation unit that. The biological information measurement method according to another aspect of the present invention includes a measurement process of measuring a predetermined physiological phenomenon in a living body to be measured and outputting measurement data, and measurement data measured by the measurement process. A histogram calculation step for obtaining a histogram based on the noise index calculation step for calculating a predetermined noise index representing the degree of noise included in the measurement data, and the noise index calculated by the noise index calculation step is equal to or greater than a predetermined threshold value If it is, change at least one of an upper limit value and a lower limit value in a predetermined integration range set in advance, and use the histogram obtained by the histogram calculation step in the integration range after the change, to obtain an expected value Based on the expected value calculated by the expected value calculating step and the expected value calculating step Characterized in that it comprises a biological information calculation step of obtaining a constant of biological information.

  In the biological information measuring device and the biological information measuring method configured as described above, a histogram of the measurement data is obtained, and the upper limit value and the lower limit value in a predetermined integration range set in advance are determined depending on the degree of noise included in the measurement data. At least one of these is changed, and an expected value is obtained using the histogram in the integration range after the change, and predetermined biological information is obtained based on the expected value of the histogram. As described above, the biological information measuring apparatus and the biological information measuring method according to the present invention can obtain biological information while reducing noise by simpler processing, and as a result, can reduce power consumption.

  According to another aspect, in the above-described biological information measurement device, the expected value calculation unit is configured to set a predetermined value when the noise index calculated by the noise index calculation unit is equal to or greater than a predetermined threshold. At least one of the upper limit value and the lower limit value in the integration range is changed according to the noise index calculated by the noise index calculation unit, and the histogram obtained by the histogram calculation unit in the changed integration range is used. And calculating an expected value.

  According to this configuration, there is provided a biological information measuring device that changes at least one of the upper limit value and the lower limit value in the predetermined integration range according to the noise index.

  According to another aspect, in the above-described biological information measurement device, the expected value calculation unit is configured to set a predetermined value when the noise index calculated by the noise index calculation unit is equal to or greater than a predetermined threshold. And changing at least one of the upper limit value and the lower limit value in the integration range according to a proportional value of a value obtained by subtracting the first predetermined value from the noise index calculated by the noise index calculation unit, and the integration range after the change The expected value is calculated using the histogram obtained by the histogram calculation unit.

  According to this configuration, there is provided a biological information measuring device that changes at least one of the upper limit value and the lower limit value in the predetermined integration range according to a proportional value of a value obtained by subtracting the first predetermined value from the noise index. The

  According to another aspect, in the above-described biological information measuring device, the change to the predetermined integration range is the upper limit value.

  According to this configuration, there is provided a biological information measuring device that fixes the lower limit value in the predetermined integration range while changing the upper limit value in the predetermined integration range.

  In another aspect, in the above-described biological information measurement device, the measurement unit irradiates the biological tissue of the living body with first light having a predetermined first wavelength, and transmits or reflects the biological tissue of the biological body. A first sensor that receives the first light and outputs first measurement data; and irradiates the living tissue of the living body with second light having a predetermined second wavelength different from the first wavelength, and the living tissue of the living body And a second sensor unit that receives the second light that has been transmitted or reflected and outputs second measurement data, and the expected value calculation unit includes a noise index calculated by the noise index calculation unit. If it is equal to or greater than a predetermined threshold value, the first ratio R of the AC component to the DC component in the first measurement data and the second ratio R of the AC component to the DC component in the second measurement data are signaled. Component s and noise component n Therefore, the noise component ratio pv in the case of R = s × pa + n × pv and IR = s + n is calculated, and the upper limit value in a predetermined integration range set in advance is calculated from the calculated noise component ratio pv and the noise index. A value obtained by subtracting a proportional value of a value obtained by subtracting the second predetermined value is changed to a value obtained by subtracting, and an expected value is calculated using the histogram obtained by the histogram calculation unit in the integration range after the change.

  According to this configuration, the biological information measuring device that changes the upper limit value in the predetermined integration range to a value obtained by subtracting a proportional value of a value obtained by subtracting the second predetermined value from the noise index from the noise component ratio pv. Provided.

  In another aspect, in the above-described biological information measurement device, the histogram calculation unit obtains a histogram f (p) of a third ratio p between the first ratio R and the second ratio IR, and the expectation The value calculating unit calculates the noise component ratio pv from the histogram f (p) of the third ratio p.

  According to this configuration, there is provided a biological information measuring device that calculates the noise component ratio pv from the histogram f (p) of the third ratio p.

  According to another aspect, in the above-described biological information measurement device, the expected value calculation unit may be configured such that pt = ∫pf (p) dp (integral ∫ is a plurality of histograms f (p) of the third ratio p. Is executed in the range from the minimum class value plow to the maximum class value pup in the class), the function g (p) = f (2 × pt−p), and p ≦ pt or g (p) − In the case of the first case where f (p) ≦ 0, the function h (p) = 0, and in the case of the second case excluding the first case, the function h (p) = {g (p) −f (p )} / ∫ {g (p) −f (p)} dp (integral ∫ is executed in the range from the minimum class value plow to the maximum class value pup, where p ≦ pt and g (p) −f (p) ≦ 0 except for the region of p) ∫p × h (p) dp (product The dividing is executed in a range from pt to the upper limit value in the predetermined integration range), and is calculated as the noise component ratio pv.

  According to this configuration, the biological information measuring device that calculates ∫p × h (p) dp (integral ∫ is executed in a range from pt to the upper limit value in the predetermined integration range) as the noise component ratio pv. Is provided.

  According to another aspect, in the above-described biological information measuring apparatus, the noise index calculation unit calculates a standard deviation of the histogram as the predetermined noise index.

  According to this configuration, there is provided a biological information measuring device that calculates the standard deviation of the histogram as the predetermined noise index.

  In another aspect, in the above-described biological information measuring device, the noise index calculation unit calculates a variation in the period in the measurement data as the predetermined noise index.

  According to this configuration, there is provided a biological information measuring device that calculates a variation in the period in the measurement data as the predetermined noise index.

  According to another aspect, in the above-described biological information measuring device, the measurement unit irradiates the biological tissue of the living body with first light having a predetermined first wavelength, and transmits or reflects the biological tissue of the biological body. A first sensor unit that receives the first light and outputs first measurement data; and irradiates the living tissue of the living body with second light having a predetermined second wavelength different from the first wavelength, A sensor unit including a second sensor unit that receives second light transmitted through or reflected from the tissue and outputs second measurement data, wherein the noise index calculation unit is an AC component for a DC component in the first measurement data. Each of the first ratio R and the second ratio IR of the AC component to the DC component in the second measurement data is expressed as R = s × pa + n × pv and IR = s + n by the signal component s and the noise component n. In the case of The noise component ratio pv is calculated, and the difference between the overall expected value in the entire histogram and the noise component ratio pv is calculated as the predetermined noise index.

  According to this configuration, there is provided a biological information measuring device that calculates the difference between the expected value of the histogram in the predetermined integration range and the noise component ratio pv as the predetermined noise index.

  In another aspect, in the above-described biological information measurement device, the histogram calculation unit obtains a histogram f (p) of a third ratio p between the first ratio R and the second ratio IR, and the noise The index calculation unit calculates the noise component ratio pv from the histogram f (p) of the third ratio p.

  According to this configuration, there is provided a biological information measuring device that calculates the noise component ratio pv from the histogram f (p) of the third ratio p.

According to another aspect, in the above-described biological information measuring device, the measurement unit irradiates the biological tissue of the living body with first light having a predetermined first wavelength, and transmits or reflects the biological tissue of the biological body. A first sensor unit that receives the first light and outputs first measurement data; and irradiates the living tissue of the living body with second light having a predetermined second wavelength different from the first wavelength, A sensor unit including a second sensor unit that receives the second light transmitted or reflected through the tissue and outputs the second measurement data, and the histogram calculation unit includes an AC component relative to a DC component in the first measurement data. A histogram f (p) of a third ratio p of the first ratio and the second ratio of the alternating current component to the direct current component in the second measurement data is obtained, and the noise index calculation unit is pt = ∫pf (p) dp ( The integral ∫ is the third ratio p. It is executed in the range from the minimum class value plow to the maximum class value pup in a plurality of classes of the program f (p), where p ≦ pt and g (p) −f (p) ≦ 0 And the function g (p) = f (2 × pt−p), and the function h (p) in the first case where p ≦ pt or g (p) −f (p) ≦ 0. = 0 and in the second case excluding the first case, the function h (p) = {g (p) −f (p)} /） {g (p) −f (p)} dp (integral ∫ is executed in the range from the minimum class value plow to the maximum class value pup), {∫p ² × h (p) dp−∫p × h (p) dp } ^{1/2 (both} integral ∫ is performed in the range from pt to the upper limit value in the predetermined integration range) of the predetermined Roh And calculating a's index.

According to this configuration, {∫p ² × h (p) dp−∫p × h (p) dp} ^1/2 (both integrals 実 行 are executed in a range from pt to the upper limit value in the predetermined integration range. Is provided as the predetermined noise index.

  The biological information measuring device and the biological information measuring method according to the present invention can obtain biological information while reducing noise by simpler processing, and as a result, can reduce power consumption.

It is a block diagram which shows the structure of the biometric information measuring apparatus in 1st Embodiment. It is a flowchart which shows operation | movement of the biometric information measuring apparatus in 1st Embodiment. It is a figure which shows an example of the histogram of 3rd ratio in case noise is comparatively small. It is a figure which shows an example of the histogram of the 3rd ratio in case noise is moderate. It is a figure which shows an example of the histogram of the 3rd ratio in case noise is comparatively large. It is a figure which shows the difference | error of the expected value calculated by the biological information measuring device in 1st Embodiment. It is a block diagram which shows the structure of the biometric information measuring apparatus in 2nd Embodiment. It is a flowchart which shows operation | movement of the biometric information measuring apparatus in 2nd Embodiment.

  Hereinafter, an embodiment according to the present invention will be described with reference to the drawings. In addition, the structure which attached | subjected the same code | symbol in each figure shows that it is the same structure, The description is abbreviate | omitted suitably. Further, in this specification, when referring generically, it is indicated by a reference symbol without a suffix, and when referring to an individual configuration, it is indicated by a reference symbol with a suffix.

(First embodiment)
FIG. 1 is a block diagram showing the configuration of the biological information measuring apparatus in the first embodiment. The biological information measuring device Sa in the first embodiment is a device that measures biological information related to a living body by measuring a physiological phenomenon of the living body that is a measurement target. The biological information is, for example, a pulse rate or blood oxygen saturation (blood oxygen concentration). Such biological information can be obtained by using a fluctuation component in the transmitted light amount or reflected light amount of a living tissue caused by pulsation of arterial blood, and the basic principle thereof is a well-known conventional means, for example, 53-026437 and the like.

  For example, as shown in FIG. 1, such a biological information measuring device Sa measures a predetermined physiological phenomenon of a living body and outputs measurement data, and the measurement data measured by the sensor unit 1. Based on, for example, a calculation control unit 3a that obtains biological information such as a pulse rate and blood oxygen saturation, and a display unit 5 that displays the biological information measured by the calculation control unit 3a so as to be recognized from the outside. .

  The sensor unit 1 is connected to the calculation control unit 3a, and in this embodiment, is a device that measures information related to blood in a living tissue as a physiological phenomenon of the living body. More specifically, the sensor unit 1 is a device that measures a fluctuation component in a transmitted light amount or a reflected light amount of a living tissue caused by arterial blood pulsation due to a heartbeat as a physiological phenomenon of the living body.

  As a method for measuring the physiological phenomenon of the living body, for example, a method using the light absorption characteristic of hemoglobin in the living tissue can be mentioned. Oxygen is transported to each cell of the living body by hemoglobin, but hemoglobin combines with oxygen in the lung to become oxygenated hemoglobin, and returns to hemoglobin (reduced hemoglobin) when oxygen is consumed in the cells of the living body. Blood oxygen saturation is defined as the percentage of oxyhemoglobin in the blood (in the blood). Each absorbance of these hemoglobin and oxyhemoglobin has wavelength dependency, and hemoglobin absorbs more light than oxyhemoglobin for red light (light in the red wavelength region), for example, while infrared light ( It absorbs less light than oxyhemoglobin (in the infrared wavelength region). In other words, when hemoglobin is oxidized to oxygenated hemoglobin, the absorption of red light decreases and the absorption of infrared light increases. Conversely, when it is reduced to return to hemoglobin, the absorption of red light increases and the absorption of infrared light increases. It has an optical property that absorption is reduced. The biological information measuring device Sa according to the present embodiment uses such a difference in absorption characteristics of hemoglobin and oxyhemoglobin with respect to red light and infrared light, for example, a living body such as a pulse rate and blood oxygen saturation. It seeks information. That is, the greater the absorbance of red light, the greater the amount of reduced hemoglobin and the lower the oxygen saturation. On the contrary, the greater the absorbance of infrared light, the greater the amount of oxyhemoglobin and the greater the oxygen saturation.

  Due to such a method, the sensor unit 1 according to the present embodiment includes, for example, a first sensor unit 11 that measures the light absorption characteristics in the biological tissue with respect to red light, and a first sensor that measures the light absorption characteristics in the biological tissue with respect to infrared light. 2 sensor section 12 and is connected to calculation control section 3a. The first sensor unit 11 includes, for example, an R light emitting element such as a light emitting diode that irradiates the biological tissue with red light having a wavelength λ1, and red light that is irradiated by the R light emitting element and transmitted or reflected by the biological tissue. For example, the second sensor unit 12 is configured to irradiate the living tissue with infrared light having a wavelength λ2 different from the wavelength λ1, for example, a light-emitting diode. An IR light emitting element and an IR light receiving element such as a silicon photodiode that receives infrared light irradiated by the IR light emitting element and transmitted or reflected by the living tissue are configured. The sensor unit 1 can use such a transmission type or reflection type sensor.

  The sensor unit 1 has a structure that can be set in a predetermined biological tissue such as a finger, an earlobe, or the back of the hand, wrist, or foot of an infant, and is set in the predetermined biological tissue. The measurement data measured by the first and second sensor units 11 and 12 are output to the arithmetic control unit 3a. More specifically, in the first sensor unit 11 having such a configuration, the R light emitting element emits red light to the living tissue, and the R light receiving element is applied to the living tissue by the R light emitting element. The red light R that is transmitted or reflected through the living tissue of the irradiated red light is received, and the received red light is photoelectrically converted, whereby an electric signal corresponding to the amount of received light is used as the measurement data as the operation control unit 3a. Output to. Similarly, in the second sensor unit 12, the IR light emitting element irradiates the biological tissue with infrared light, and the IR light receiving element emits infrared light irradiated onto the biological tissue by the IR light emitting element. Infrared light transmitted or reflected through the living tissue is received, and the received infrared light is photoelectrically converted to output an electrical signal corresponding to the amount of received light to the arithmetic control unit 3a as the measurement data.

  The arithmetic control unit 3a is connected to the display unit 5 and is a device that obtains biological information based on measurement data measured by the sensor unit 1 and controls the entire biological information measuring device Sa. The arithmetic control unit 3a acquires time-series data of measurement data from the sensor unit 1 by sampling the measurement data measured by the sensor unit 1 at a predetermined sampling period (for example, a frequency of 37.5 Hz, for example). is there. Further, for example, the calculation control unit 3a acquires measurement data from the sensor unit 1 as time-series data by driving the sensor unit 1 with a predetermined cycle, that is, by causing each operation of light emission and light reception to be performed. Further, for example, the sensor unit 1 measures the measurement data as time series data from the living tissue by sampling at a predetermined sampling period, and outputs the measurement data of the time series data to the arithmetic control unit 3a. The measurement data may be analog data, but in the present embodiment, the measurement data is digital data. Conversion from analog data to digital data (AD conversion) is performed by the sensor unit 1 or the arithmetic control unit 3a. Further, if necessary, the sensor unit 1 or the operation control unit 3a may further include an amplification unit that amplifies the measurement data before AD conversion.

  More specifically, the arithmetic control unit 3a obtains a histogram based on the measurement data measured by the sensor unit 1, calculates a predetermined noise index representing the degree of noise included in the measurement data, and calculates the calculation. If the measured noise index is greater than or equal to the predetermined threshold th, at least one of the lower limit value a and the upper limit value b in a predetermined integration range set in advance is changed, and the histogram is changed in the integration range after the change. Is used to calculate the expected value, and predetermined biological information is obtained based on the calculated expected value. For example, it is constituted by a microcomputer including a microprocessor, a memory, and its peripheral circuits. The memory includes various programs such as a biological information calculation program for obtaining biological information based on measurement data measured by the sensor unit 1, a control program for controlling the entire biological information measuring device Sa, and a sensor unit. For example, an EEPROM (Electrically Erasable Programmable Read Only Memory), which is a rewritable nonvolatile memory element, or a nonvolatile memory that stores various data such as the measurement data measured in Step 1 and data necessary for the execution of the program. A ROM (Read Only Memory) which is an element, and a RAM (Random Access Memory) which is a so-called working memory of the microprocessor, for example, which is a volatile storage element, is configured. Central Processing Unit), etc., and functions by executing the program In addition, for example, a first pre-processing unit 31, a second pre-processing unit 32, a first band-pass filter unit (first BPF unit) 33, a second band-pass filter unit (second BPF unit) 34, and a histogram calculation Unit 35, ratio calculation unit 36, noise index calculation unit 37, expected value calculation unit 38 a, blood oxygen saturation calculation unit 39, pulse rate calculation unit 40, and reliability calculation unit 41.

The first and second preprocessing units 31 and 32 perform predetermined preprocessing on the measurement data input from the sensor unit 1. More specifically, the first preprocessing unit 31 performs so-called dark processing for correcting dark current in the R light receiving element on the measurement data related to red light input from the first sensor unit 11. Then, the first ratio (red light _AC / DC ratio) R (= R _AC / R _DC ) of the _AC component R _AC to the DC component R _DC is calculated, and the first BPF unit 33 is notified (output). ) The first ratio R is considered to be equal to the change in absorbance of the living tissue with respect to red light, based on the approximation by Lambert-Beer law. The second preprocessing unit 32 performs a so-called dark process for correcting dark current in the IR light receiving element on the measurement data related to the infrared light input from the second sensor unit 12, and A second ratio (infrared light _AC / DC ratio) IR (= IR _AC / IR _DC ) of the _AC component IR _AC with respect to the DC component IR _DC is calculated, and this second ratio IR is notified (output) to the first BPF unit 33. . This second ratio IR is considered to be equal to the change in absorbance of the living tissue with respect to infrared light based on the approximation by the Lambert-Beer law. For the dark process, known conventional means are used. For example, an output value (dark current value) Rdark output from the light-receiving R light receiving element is subtracted from the measurement data related to the red light, and the infrared light is subtracted. This is performed by subtracting the output value (dark current value) IRdark output from the IR light receiving element in the light-shielded state from the measurement data related to. The output values Rdark and IRdark output from the light-receiving R light-receiving element and the IR light-receiving element are measured in advance. For example, the output values Rdark and IRdark output from the R light receiving element and the IR light receiving element in the light shielding state may be measured in advance every measurement, or may be measured and stored in advance, for example. .

  The first and second BPF units 33 and 34 are filters that remove a predetermined noise component from the measurement data measured by the sensor unit 1, and are usually included as fluctuation components in the amount of transmitted or reflected light of living tissue caused by pulsation of arterial blood. The frequency components other than the frequency components to be removed are removed. The first BPF unit 33 is, for example, a filter that uses a predetermined frequency band including a frequency component that is normally included as a fluctuation component in the transmitted light amount or reflected light amount of biological tissue caused by pulsation of arterial blood with respect to red light. 1 ratio R is filtered (filtered), and the first ratio R after the filtering process is sent to each of the ratio calculating section 36, blood oxygen saturation calculating section 39, pulse rate calculating section 40, and reliability calculating section 41. Notice. The second BPF unit 34 is, for example, a filter having a predetermined frequency band including a frequency component that is normally included as a fluctuation component in a transmitted light amount or a reflected light amount of living tissue caused by pulsation of arterial blood with respect to infrared light as a pass band, The second ratio IR is filtered (filtered), and the second ratio IR after the filter processing is subjected to the ratio calculation unit 36, the blood oxygen saturation calculation unit 39, the pulse rate calculation unit 40, and the reliability calculation unit 41. To notify.

  The ratio calculation unit 36 calculates a third ratio (two-wavelength variation ratio) p (= R / IR) of the first ratio R with respect to the second ratio IR, and notifies the histogram calculation unit 35 of the third ratio p. It is.

  The histogram calculation unit 35 calculates a histogram (frequency distribution) f (p) of the third ratio p obtained from the measurement data measured by the sensor unit 1 within a predetermined time range, and the histogram of the third ratio p. f (p) is notified to each of the noise index calculation unit 37 and the expected value calculation unit 38a. The predetermined time range is a time range in which the number of pieces of measurement data for which the histogram f (p) is statistically significant can be acquired. The number of pieces of measurement data is, for example, 300, 400, or 500. Etc. The histogram calculation unit 35 classifies a predetermined range assumed as a numerical range that can be taken by the third ratio p into a plurality of classes (classes) at predetermined intervals, and uses the histogram f (p). The frequency of the third ratio p in each class is obtained by allocating each of the plurality of third ratios p input from the ratio calculation unit 36 up to the predetermined time from the creation time point to any one of these classes. . Accordingly, the histogram calculation unit 35 obtains the histogram f (p) of the third ratio p.

  The noise index calculation unit 37 calculates a predetermined noise index representing the degree of noise included in the measurement data measured by the sensor unit 1 within a predetermined time range, and uses the calculated predetermined noise index as an expected value calculation unit. 38a is notified. The predetermined noise index may be an arbitrary index as long as it represents the degree of noise included in the measurement data, but in the present embodiment, for example, a standard deviation σ in the histogram f (p) of the third ratio p is used. The noise index calculation unit 37 calculates the standard deviation σ as the predetermined noise index for the histogram f (p) of the third ratio p calculated by the histogram calculation unit 35.

The expected value calculation unit 38a calculates an expected value ev in the histogram f (p) of the third ratio p obtained by the histogram calculation unit 35 within a predetermined integration range set in advance, and uses the calculated expected value ev as the blood This is notified to the intermediate oxygen saturation calculation unit 39. The expected value ev is calculated by the following equation A1.
Expected value ev = ∫p × f (p) dp (A1)
However, the integral ∫ is the lower limit value a when the expected value (overall expected value) in the entire histogram f (p) of the third ratio p obtained by the histogram calculating unit 35 is pt and its standard deviation is σ. = Pt-2 × σ to the upper limit b = pt + 2 × σ. That is, the expected value ev is obtained in a so-called 2σ range in the histogram f (p) of the third ratio p. Note that the expected value pt of the entire histogram f (p) of the third ratio p is ∫p × f (p) dp (where the integral ∫ is the maximum class value from the minimum class value plow in the plurality of classes). Is executed in the range up to the value pup.

  Here, in the present embodiment, the expected value calculation unit 38a determines that the predetermined value when the noise index α calculated by the noise index calculation unit 37, in this embodiment, the standard deviation σ is equal to or greater than a predetermined threshold σth. At least one of the upper limit value b and the lower limit value a in the integration range is changed, and the expected value ev in the histogram f (p) of the third ratio p obtained by the histogram calculation unit 35 in the changed integration range is calculated. To do.

  More specifically, the expected value calculation unit 38a determines the predetermined integration range when the noise index α calculated by the noise index calculation unit 37, in this embodiment, the standard deviation σ is equal to or greater than a predetermined threshold σth. At least one of the upper limit value b and the lower limit value a is changed according to the noise index α calculated by the noise index calculation unit 37, in this embodiment, the standard deviation σ, and the histogram is calculated in the integration range after the change. The expected value ev of the histogram f (p) of the third ratio p obtained by the unit 35 is calculated.

  More specifically, the expected value calculation unit 38a determines the predetermined value when the noise index α calculated by the noise index calculation unit 37, in this embodiment, the standard deviation σ is equal to or greater than a predetermined threshold σth. At least one of the upper limit value b and the lower limit value a in the integration range is obtained by subtracting a preset first predetermined value β1 from the noise index α calculated by the noise index calculation unit 37, in this embodiment, the standard deviation σ. It is changed according to the proportional value ((predetermined constant) × (σ−β1)) of the value (σ−β1), and the third ratio P obtained by the histogram calculation unit 35 in the integration range after the change An expected value ev of the histogram f (p) is calculated.

  In the present embodiment, both the lower limit value a and the upper limit value b in the predetermined integration range are changed by the expected value calculation unit 38a. For example, the lower limit value a is a− (constant) × (σ−β1) ( = (Pt−2 × σ) − (constant) × (σ−β1)), and the upper limit b is b− (constant) × (σ−β1) (= (pt + 2 × σ) − (constant). X ([sigma]-[beta] 1)). Thus, the predetermined integration range is moved by (constant) × (σ−β1) toward the smaller value of the third ratio p.

  In the change to the predetermined integration range, the lower limit value a may be fixed and the upper limit value b may be changed, or the lower limit value a may be changed and the upper limit value b may be fixed. .

  When the noise index α calculated by the noise index calculation unit 37, in this embodiment, the standard deviation σ is less than the predetermined threshold σth, the expected value calculation unit 38a, as described above, The expected value ev in the histogram f (p) of the third ratio p obtained by the histogram calculation unit 35 within the range (lower limit value a, upper limit value b) is calculated.

The blood oxygen saturation calculating unit 39 calculates an oxygen saturation, for example, an estimated value SpO ₂ of arterial blood oxygen saturation, based on the expected value ev calculated by the expected value calculating unit 38a. SpO ₂ is output to the display unit 5.

More specifically, for example, the blood oxygen saturation calculation unit 39 uses a lookup table (calibration table) that represents a relationship between the expected value ev and the oxygen saturation, which is obtained and stored in advance. An estimated value SpO ₂ of the oxygen saturation of arterial blood is obtained.

  The pulse rate calculator 40 calculates a pulse rate within a predetermined time (for example, a pulse rate for 1 minute) based on the first ratio R related to red light and the second ratio IR related to infrared light. The pulse rate is output to the display unit 5.

More specifically, the pulse rate calculation unit 40 calculates the pulse rate as follows, for example. When measuring the absorbance of a living tissue, when the signal component corresponding to the change in absorbance is s and the noise component superimposed on this signal component is n, the first ratio R and the second ratio IR are: Expressions B1 and B2 hold.
IR = s + n (B1)
R = s × pa + n × pv (B2)

  The signal component ratio pa is a ratio between the signal component s corresponding to the change in absorbance in infrared light and the signal component corresponding to the change in absorbance in red light. This signal component ratio pa is generally the oxygen saturation level in blood. It is known to correspond one-to-one. The noise component ratio pv is a ratio between the noise component n superimposed on the signal component s for infrared light and the noise component superimposed on the signal component for red light. By using the noise component ratio pv, a pulse wave signal S (i) = R (i) −pv × IR (i) is obtained, and a period T_period of the signal S (i) is obtained. The pulse rate (= 60 / period T_period) is obtained by dividing 60 by the period T_period of (i).

  The reliability calculation unit 41 calculates a predetermined reliability and outputs the calculated reliability to the display unit 5.

The reliability is an index (degree) indicating how reliable the calculated value related to biological information is. Such reliability can be obtained by, for example, any one of the following formulas C1 to C6, and the reliability calculation unit 41 includes the first ratio R related to red light and the second ratio related to infrared light. Based on the ratio IR, a predetermined reliability for the oxygen saturation calculated by the blood oxygen saturation calculating unit 39 is calculated. In the reliability z obtained by such an equation, the reliability of the blood oxygen saturation level decreases as the absolute value of the value z increases. In each of these equations, Σ calculates the sum for i.
z = (ΣR (i) × IR (i)) / (Σ {IR (i)} ² ) − (Σ {R (i)} ² ) / (ΣR (i) × IR (i)) (C1)
z = [Σ {R (i) × IR (i)} / Σ {IR (i)} ² ] ² − [(Σ {R (i)} ² / Σ {IR (i)} ² )... (C2)
z = [Σ {R (i)} ² / Σ {R (i) × IR (i)}] ^2- [Σ {R (i)} ² / Σ {IR (i)} ² ] ( C3)
z = [(1 / N) × ΣR (i) / IR (i)] ² − (Σ {R (i)} ² ) / (Σ {IR (i)} ² ) (C4)
z = (ΣR (i) × IR (i)) / (Σ {IR (i)} ² ) − (1 / N) × ΣR (i) / IR (i) (C5)
z = (Σ {R (i)} ² ) / (ΣR (i) × IR (i)) − (1 / N) × ΣR (i) / IR (i) (C6)

  The display unit 5 is a device that displays the operating state of the biological information measuring device Sa, biological information obtained by the arithmetic control unit 3a, and the like, and is, for example, a liquid crystal display device (LCD) or an organic EL display device. In the present embodiment, for example, the display unit 5 displays the pulse rate display unit 51 that displays the pulse rate calculated by the pulse rate calculation unit 40 and the oxygen saturation calculated by the blood oxygen saturation calculation unit 39. The blood oxygen saturation level display unit 52 and the reliability level display unit 53 that displays the reliability level calculated by the reliability level calculation unit 41 are provided.

  Next, the operation of the biological information measuring device Sa of the first embodiment will be described. FIG. 2 is a flowchart showing the operation of the biological information measuring apparatus in the first embodiment. FIG. 3 is a diagram illustrating an example of a third ratio histogram when the noise is relatively small. FIG. 4 is a diagram illustrating an example of a third ratio histogram when the noise is moderate. FIG. 5 is a diagram illustrating an example of a third ratio histogram when the noise is relatively large. 3 to 5, the horizontal axis represents the class of the third ratio p, and the vertical axis represents the frequency. FIG. 6 is a diagram illustrating an error of an expected value calculated by the biological information measuring apparatus according to the first embodiment. The horizontal axis in FIG. 6 is the magnitude of noise, and the vertical axis is the error of the expected value ev.

  In the biological information measuring apparatus Sa of the present embodiment, for example, measurement of biological information of a biological object to be measured is started by turning on a power switch (not shown) or turning on a measurement start switch after turning on the power switch, Measurement data is acquired and a histogram f (p) is created.

  More specifically, first, the measurement data Rs (including the dark current) relating to the red light and the dark current Rdark are measured by the first sensor unit 11 of the sensor unit 1 and converted from an analog signal to a digital signal. At the same time, the second sensor unit 12 of the sensor unit 1 measures the measurement data IRs (including the dark current) related to the infrared light and the dark current IRdark, and converts them from an analog signal to a digital signal. Subsequently, dark processing (Rs-Rdark) is performed on the measurement data Rs related to red light input from the sensor unit 1 by the first preprocessing unit 31 of the arithmetic control unit 3a, and the first ratio R is calculated. In addition, dark processing (IRs-IRdark) is performed on the measurement data IRs related to the infrared light input from the sensor unit 1 by the second preprocessing unit 32 of the arithmetic control unit 3a, and the second ratio IR Is calculated. Subsequently, the first ratio R notified from the first preprocessing unit 31 is filtered by the first BPF unit 33 of the calculation control unit 3a, and the second preprocessing unit is filtered by the second BPF unit 34 of the calculation control unit 3a. The second ratio IR notified from 32 is filtered. Subsequently, a third ratio p of the first ratio R with respect to the second ratio IR is calculated by the ratio calculation unit 36 of the calculation control unit 3a, and the histogram calculation unit 35 of the calculation control unit 3a calculates the third ratio p in a predetermined time range. A histogram f (p) of 3 ratio p is calculated. For example, the histogram f (p) of the third ratio p as shown in FIGS. 3 to 5 is obtained for the measurement data in the time range from the current time ti to the past time ti− (N + 1).

  When the histogram f (p) of the third ratio p is created in this way, in FIG. 2, first, in step S11, the noise index calculation unit 37 of the calculation control unit 3a has a predetermined range, for example, the histogram f ( The standard deviation σ for the entire histogram f (p) of the third ratio p in the range from the minimum class value plow to the maximum class value pup in the class p) is calculated as a noise index. Then, the arithmetic control unit 3a sets the expected value pt for the entire histogram f (p) of the third ratio p in the range from the minimum class value plow to the maximum class value pup in the class of the histogram f (p). calculate.

  Subsequently, in step S12, the arithmetic control unit 3a determines whether or not the obtained standard deviation σ is equal to or greater than a predetermined threshold value σth (whether σ ≧ σth?). This step S12 is a process for determining the degree of noise included in the histogram f (p) of the third ratio p, and the predetermined threshold σth is not subjected to a process according to the noise level described later. From the viewpoint of whether or not the blood oxygen saturation can be obtained from the measurement data with a predetermined accuracy according to the specification, for example, it is set appropriately.

  If the standard deviation σ is equal to or larger than the predetermined threshold σth as a result of the determination in step S12 (Yes), the process of step S13 is executed, while the standard deviation σ is determined to be the predetermined threshold σth as a result of the determination in step S12. If not (No), the process of step S21 is executed. For example, when the histogram of the third ratio p has relatively little noise as shown in FIG. 3, it is determined in step S12 that the standard deviation σ is not equal to or greater than the predetermined threshold σth, and the process in step S21 is performed. On the other hand, when the histogram of the third ratio p is medium noise or relatively large noise as shown in FIG. 4 or FIG. 5, the standard deviation σ is equal to or greater than the predetermined threshold σth in the determination of step S12. Is determined, and the process of step S13 is executed.

  In step S13, the expected value calculation unit 38a of the calculation control unit 3a sets the shift amount shift1 for shifting the predetermined integration range (lower limit value a = pt−2 × σ, upper limit value b = pt + 2 × σ), and shift1 = It is calculated by (constant) × (σ−β1).

  Subsequently, in step S14, the expected value calculation unit 38a shifts the predetermined integration range toward the smaller value of the third ratio p by the shift amount shift (lower limit value a−shift1 = pt The expected value ev is calculated by integrating the histogram f (p) of the third ratio p with −shift1-2 × σ, upper limit value b-shift1 = pt−shift1 + 2 × σ).

Subsequently, in step S15, the blood oxygen saturation calculation unit 39 of the calculation control unit 3a obtains the oxygen saturation SpO ₂ of arterial blood by referring to the lookup table based on the expected value ev.

On the other hand, in step S21, the expected value calculation unit 38a displays the histogram f (p) of the third ratio p within the predetermined integration range (lower limit value a = pt−2 × σ, upper limit value b = pt + 2 × σ). By integrating, the expected value ev is calculated. Subsequently, the process of step S15 is executed, and the blood oxygen saturation calculating unit 39 of the arithmetic control unit 3a determines the oxygen saturation SpO ₂ of arterial blood.

Then, the arithmetic control unit 3 a displays the obtained oxygen saturation SpO ₂ on the blood oxygen saturation display unit 52 of the display unit 5.

  Further, the reliability calculation unit 41 of the calculation control unit 3 a obtains a predetermined reliability, and the calculation control unit 3 a displays the obtained reliability on the reliability display unit 53 of the display unit 5.

  The histogram f (p) of the third ratio p depends on the magnitude of noise, as shown in FIGS. 3 to 5, and the frequency of the third ratio p is as shown in FIG. As shown in FIG. 3, the third ratio p is concentrated on the smaller value side, and as the noise increases, the third ratio p increases toward the larger value as shown in FIGS. 4 and 5. In the biological information measuring apparatus Sa of the present embodiment, by operating as described above, the integration range of the expected value ev is measured data R from a predetermined integration range (lower limit value a, upper limit value b) set in advance. , The third ratio p is shifted toward a smaller value in accordance with the degree of noise included in the IR, and becomes a range from the lower limit value a-shift1 to the upper limit value b-shift1. Therefore, the portion that spreads toward the larger value of the third ratio p due to noise is cut, and the noise is cut.

  That is, when the noise is not cut, the error of the expected value ev increases as the noise increases as shown by the solid line Nnc in FIG. 6, but in the biological information measuring device Sa of the present embodiment, the error of the expected value ev As shown by a solid line Nc in FIG. 6, the voltage once decreases and then increases as the noise increases. The difference between the solid line Nnc and the solid line Nc is an effect of noise reduction in the biological information measuring device Sa of the present embodiment.

  As described above, in the biological information measuring device Sa of the present embodiment, the histogram f (p) of the third ratio p based on the measurement data R and IR is obtained, and the degree of noise included in the third ratio p based on the measurement data R and IR The at least one of the upper limit value b and the lower limit value a in a predetermined integration range set in advance is changed, and the expected value ev of the histogram f (p) is obtained in the integration range after the change, and the histogram Predetermined biological information is obtained based on the expected value ev of f (p). As described above, the biological information measuring device Sa of the present embodiment can obtain biological information while reducing noise by simpler processing, and as a result, can reduce power consumption.

Next, another embodiment will be described.
(Second Embodiment)
When the biological information measuring device Sa of the first embodiment calculates the expected value ev, the predetermined integration range is changed to a smaller value of the third ratio p with the shift amount shift1 according to the degree of noise. When calculating the expected value ev, the biological information measuring device Sb of the second embodiment changes the upper limit value b in the predetermined integration range to a value related to the noise component ratio pv according to the degree of noise. is there.

  FIG. 7 is a block diagram illustrating a configuration of the biological information measuring device according to the second embodiment. In FIG. 7, the biological information assumption device Sb according to the second embodiment includes the sensor unit 1, the calculation control unit 3 b, and the display unit 5. Since the sensor unit 1 and the display unit 5 in the biological information assumption device Sb of the second embodiment are the same as the sensor unit 1 and the display unit 5 in the biological information assumption device Sa of the first embodiment, respectively, description thereof is omitted. To do.

  And the calculation control part 3b in the biometric information assumption apparatus Sb of 2nd Embodiment is connected to the display part 5, and while calculating | requiring biometric information based on the measurement data measured by the sensor part 1, the biometric information measurement apparatus Sa whole Functionally, for example, a first pre-processing unit 31, a second pre-processing unit 32, a first band-pass filter unit (first BPF unit) 33, and a second band-pass filter unit (Second BPF unit) 34, histogram calculation unit 35, ratio calculation unit 36, noise index calculation unit 37, expected value calculation unit 38b, blood oxygen saturation calculation unit 39, and pulse rate calculation unit 40 And a reliability calculation unit 41. The first preprocessing unit 31, the second preprocessing unit 32, the first BPF unit 33, the second BPF unit 34, the histogram calculation unit 35, the ratio calculation unit 36, and the noise index calculation unit 37 in the biological information assumption device Sb of the second embodiment. , Blood oxygen saturation calculation unit 39, pulse rate calculation unit 40, and reliability calculation unit 41 are respectively the first preprocessing unit 31, the second preprocessing unit 32 in the biological information assumption device Sa of the first embodiment, The same as the first BPF unit 33, the second BPF unit 34, the histogram calculation unit 35, the ratio calculation unit 36, the noise index calculation unit 37, the blood oxygen saturation calculation unit 39, the pulse rate calculation unit 40, and the reliability calculation unit 41. Therefore, the description is omitted.

  The expected value calculation unit 38b is expected in the histogram f (p) of the third ratio p obtained by the histogram calculation unit 35 in a predetermined integration range set in advance, as in the expected value calculation unit 38a of the first embodiment. The value ev is calculated, and the calculated expected value ev is notified to the blood oxygen saturation calculation unit 39. The noise index α calculated by the noise index calculation unit 37, which is the standard deviation σ in this embodiment, is calculated. If it is equal to or greater than the predetermined threshold σth, at least one of the upper limit value b and the lower limit value a in the predetermined integration range is changed, and the third value obtained by the histogram calculation unit 35 in the changed integration range. The expected value ev in the histogram f (p) of the ratio p is calculated. The expected value calculation unit 38b of the present embodiment is based on the histogram f (p) of the third ratio p. A pv calculation unit 381 for calculating the noise component ratio pv is provided. The pv calculation unit 381 calculates the noise component ratio pv, and the upper limit value b in the predetermined integration range is determined from the calculated noise component ratio pv as a noise index. α, in this embodiment, a value obtained by subtracting a proportional value (predetermined constant) × (σ−β2) obtained by subtracting a preset second predetermined value β2 from the standard deviation σ (pv) − (Constant) × (σ−β2)), and the histogram is calculated in the integrated range after this change (lower limit value a = pt−2 × σ, upper limit value (pv− (constant) × (σ−β2)) The expected value ev of the histogram f (p) of the third ratio p obtained by the unit 35 is calculated.

More specifically, in the present embodiment, the pv calculation unit 381 divides the class of the histogram f (p) into a plurality of predetermined ranges based on predetermined statistical parameters, and each of the divided predetermined ranges. A predetermined function h (p) is defined in this, and the noise component ratio pv is calculated using this function h (p). More specifically, in this embodiment, when the function g (p) = f (2 × pt−p) is defined, h (p) = 0 is defined when p ≦ pt, and p> pt. H (p) = {g (p) −f (p)} /｝ {g (p) −f (p)} dp, and when g (p) −f (p) ≦ 0, h (p p) = 0 and g (p) −f (p)> 0, h (p) = {g (p) −f (p)} / ∫ {g (p) −f (p)} defined as dp. That is,
h (p) = 0; p ≦ pt or g (p) −f (p) ≦ 0
h (p) = {g (p) −f (p)} / ∫ {g (p) −f (p)} dp (where the integral ∫ is the maximum from the minimum class value plow in the plurality of classes) Up to class value pup, except for p ≦ pt and g (p) −f (p) ≦ 0, p); p> pt or g (p) −f (p)> 0 (A2)
The noise component ratio pv is calculated by the following equation A3.
Noise component ratio pv = ∫p × h (p) dp (A3)
However, the integration ∫ is executed in a range from pt to the upper limit value b in the predetermined integration range.

  Next, the operation of the biological information measuring device Sa of the second embodiment will be described. FIG. 8 is a flowchart showing the operation of the biological information measuring apparatus in the second embodiment.

  In the biological information measuring device Sb of the present embodiment, similarly to the biological information measuring device Sa of the first embodiment, for example, by turning on a power switch (not shown) or turning on a measurement start switch (not shown) after turning on the power switch, Measurement of biological information of a living body to be measured is started, measurement data is acquired, and a histogram f (p) is created. For example, for the measurement data in the time range (ti; i = 0 to −N) from the current time ti to the past time ti− (N + 1), the histogram f () of the third ratio p as shown in FIGS. p) is required.

  When the histogram f (p) of the third ratio p is created, in FIG. 8, first, in step S31, the noise index calculation unit 37 of the calculation control unit 3b is a predetermined range, for example, as in step S11. The standard deviation σ of the third ratio p with respect to the entire histogram f (p) in the range from the minimum class value plow to the maximum class value pup in the class of the histogram f (p) is calculated as a noise index. Then, the arithmetic control unit 3b sets the expected value pt for the entire histogram f (p) of the third ratio p in the range from the minimum class value plow to the maximum class value pup in the class of the histogram f (p). calculate.

  Subsequently, in step S32, the arithmetic control unit 3b determines whether or not the obtained standard deviation σ is equal to or larger than a predetermined threshold value σth (σ ≧ σth?), As in step S12.

  If the standard deviation σ is equal to or greater than the predetermined threshold σth as a result of the determination in step S32 (Yes), the process of step S33 is executed, while the standard deviation σ is determined to be the predetermined threshold σth as a result of the determination in step S32. If not (No), the process of step S41 is executed.

  In step S33, the expected value calculation unit 38b of the calculation control unit 3b calculates the noise component ratio pv by the pv calculation unit 381.

  Subsequently, in step S34, the expected value calculation unit 38b sets the shift amount shift2 for shifting the predetermined integration range (lower limit value a = pt−2 × σ, upper limit value b = pt + 2 × σ), and shift2 = (constant ) × (σ−β2).

  Subsequently, in step S35, the expected value calculation unit 38b replaces the upper limit value b in the predetermined integration range with the noise component ratio pv and the shift amount shift2, and sets the predetermined integration range to a value with a small third ratio p. The expected value ev is reduced by integrating the histogram f (p) of the third ratio p in the integration range after this change (lower limit value a = pt−2 × σ, upper limit value pv−shift2). calculate.

Subsequently, in step S36, as in step S15, the blood oxygen saturation calculation unit 39 of the calculation control unit 3b refers to the lookup table based on the expected value ev, thereby causing arterial oxygen saturation SpO _2. Ask for.

On the other hand, in step S41, the expected value calculation unit 38b, in the same manner as in step S21, has the third ratio p within the predetermined integration range (lower limit value a = pt−2 × σ, upper limit value b = pt + 2 × σ). The expected value ev is calculated by integrating the histogram f (p). Subsequently, the process of step S36 is executed, and the blood oxygen saturation calculating unit 39 of the calculation control unit 3b performs the oxygen saturation of arterial blood. determine the SpO _2.

Then, the arithmetic control unit 3 b displays the obtained oxygen saturation SpO ₂ on the blood oxygen saturation display unit 52 of the display unit 5.

  Further, the pulse rate calculation unit 40 of the arithmetic control unit 3b obtains a pulse wave signal S (i) = R (i) −pv × IR (i) using the noise component ratio pv, and this signal S (i ) Period T_period, and 60 is divided by the period T_period of this signal S (i) to determine the pulse rate (= 60 / period T_period). Then, the calculation control unit 3 a displays this pulse rate on the pulse rate display unit 51 of the display unit 5.

  Further, the reliability calculation unit 41 of the calculation control unit 3 b obtains a predetermined reliability, and the calculation control unit 3 b displays the obtained reliability on the reliability display unit 53 of the display unit 5.

  As described above, in the biological information measuring device Sb of this embodiment, the histogram f (p) of the third ratio p based on the measurement data R and IR is obtained, and the degree of noise included in the third ratio p based on the measurement data R and IR. The fixed lower limit value a in a predetermined integration range is fixed while the upper limit value b is changed, and the expected value ev of the histogram f (p) is obtained in the changed integration range, and the histogram f Predetermined biological information is obtained based on the expected value ev of (p). As described above, the biological information measuring device Sb of the present embodiment can obtain biological information while reducing noise by simpler processing, and as a result, can reduce power consumption.

  In the first and second embodiments described above, the predetermined noise index calculated by the noise index calculation unit 37 is the standard deviation σ of the histogram f (p) of the third ratio p, but is not limited thereto. For example, it may be one of the following.

  For example, the noise index calculated by the noise index calculation unit 37 may be a period variation in the measurement data. Examples of the variation in the period include a standard deviation of the period and a difference between the minimum value of the period and the maximum value of the period.

  In addition, for example, the noise index calculated by the noise index calculation unit 37 is calculated as follows: R = s × pa + n × pv and IR = the first ratio R and the second ratio IR depending on the signal component s and the noise component n. The noise component ratio pv in the case of s + n is calculated, and the histogram f in the integration range from the minimum class value plow to the maximum class value pup in the plurality of classes of the histogram f (p) of the third ratio p. It may be a difference (pt−pv) between the overall expected value pt of (p) and the noise component ratio pv. For example, the noise component ratio pv may be calculated from the histogram f (p) of the third ratio p.

Further, for example, the noise index calculated by the noise index calculation unit 37 is pt = ∫pf (p) dp (integral ∫ is the minimum class value in a plurality of classes of the histogram f (p) of the third ratio p. plow to the maximum class value pup), function g (p) = f (2 × pt−p), and p ≦ pt or g (p) −f (p) ≦ 0 In the case of the first case, the function h (p) = 0 and in the case of the second case excluding the first case, the function h (p) = {g (p) −f (p)} / ∫ {g ( p) −f (p)} dp (integral ∫ is executed in the range from the minimum class value plow to the maximum class value pup, provided that p ≦ pt and g (p) −f ( when the exception of p region of the p) ≦ 0), {∫p 2 × h (p) dp-∫p × (P) ^{dp} 1/2} (both integral ∫ is performed in the range of from the lower limit value pt to the upper limit value b) may be.

  In all the embodiments, the third ratio p has been described as the ratio of the first ratio R to the second ratio IR, but of course, even if it is the ratio of the time difference of the first ratio R to the time difference of the second ratio IR. Good.

  In order to express the present invention, the present invention has been properly and fully described through the embodiments with reference to the drawings. However, those skilled in the art can easily change and / or improve the above-described embodiments. It should be recognized that this is possible. Therefore, unless the modifications or improvements implemented by those skilled in the art are at a level that departs from the scope of the claims recited in the claims, the modifications or improvements are not covered by the claims. To be construed as inclusive.

Sa, Sb Biological information measuring device 1 Sensor unit 3a, 3b Operation control unit 5 Display unit 11 First sensor unit 12 Second sensor unit 35 Histogram calculation unit 36 Ratio calculation unit 37 Noise index calculation unit 38a, 38b Expected value calculation unit 39 Blood oxygen saturation calculator 40 Pulse rate calculator

Claims (13)

A measurement unit that measures a predetermined physiological phenomenon in the living body to be measured and outputs measurement data; and
A histogram calculation unit for obtaining a histogram based on the measurement data measured by the measurement unit;
A noise index calculator that calculates a predetermined noise index that represents the degree of noise included in the measurement data;
When the noise index calculated by the noise index calculation unit is equal to or greater than a predetermined threshold, at least one of the upper limit value and the lower limit value in a predetermined integration range set in advance is changed, and the integration after the change An expected value calculation unit that calculates an expected value using a histogram obtained by the histogram calculation unit in a range;
A biological information measuring device comprising: a biological information calculating unit that obtains the predetermined biological information based on the expected value calculated by the expected value calculating unit. When the noise index calculated by the noise index calculation unit is equal to or greater than a predetermined threshold, the expected value calculation unit calculates at least one of an upper limit value and a lower limit value in a predetermined integration range set in advance. The change according to the noise index calculated by the noise index calculation unit, and the expected value is calculated using the histogram obtained by the histogram calculation unit in the integration range after the change. Biological information measuring device. When the noise index calculated by the noise index calculation unit is equal to or greater than a predetermined threshold, the expected value calculation unit calculates at least one of an upper limit value and a lower limit value in a predetermined integration range set in advance. The value is changed according to the proportional value of the value obtained by subtracting the first predetermined value from the noise index calculated by the noise index calculation unit, and the expected value is calculated using the histogram obtained by the histogram calculation unit in the integration range after the change. The biological information measuring device according to claim 2, wherein the biological information measuring device is calculated. The biological information measuring apparatus according to claim 1, wherein the change to the predetermined integration range is the upper limit value. The measurement unit irradiates the living tissue of the living body with first light having a predetermined first wavelength, receives the first light transmitted or reflected through the living tissue of the living body, and outputs first measurement data. Second measurement data is received by irradiating the biological tissue of the living body with second light having a predetermined second wavelength different from the first wavelength, and receiving or transmitting the second light transmitted or reflected through the biological tissue of the biological body. A sensor unit including a second sensor unit that outputs
When the noise index calculated by the noise index calculation unit is equal to or greater than a predetermined threshold, the expected value calculation unit and the first ratio R of the AC component to the DC component in the first measurement data and the second measurement The noise component ratio pv is calculated when each of the second ratio IR of the AC component to the DC component in the data is expressed as R = s × pa + n × pv and IR = s + n by the signal component s and the noise component n. The upper limit value in a preset predetermined integration range is changed to a value obtained by subtracting the proportional value of the value obtained by subtracting the second predetermined value from the noise index from the calculated noise component ratio pv, and the integration after this change The biological information measuring device according to claim 1, wherein an expected value is calculated using a histogram obtained by the histogram calculating unit within a range. The histogram calculation unit obtains a histogram f (p) of a third ratio p between the first ratio R and the second ratio IR;
The biological information measurement apparatus according to claim 5, wherein the expected value calculation unit calculates the noise component ratio pv from the histogram f (p) of the third ratio p. The expected value calculation unit calculates pt = ∫pf (p) dp (integral （is the minimum class value plow in the plurality of classes of the histogram f (p) of the third ratio p to the maximum class value pup. In the case of the first case of p ≦ pt or g (p) −f (p) ≦ 0, the function h ( In the case of p) = 0 and the second case excluding the first case, the function h (p) = {g (p) −f (p)} / ∫ {g (p) −f (p)} dp (The integral ∫ is executed in the range from the minimum class value plow to the maximum class value pup. However, p ≦ pt and g (p) −f (p) ≦ 0 in the region of p. ∫p × h (p) dp (integral ∫ is a value from pt to the upper limit value in the predetermined integration range) The biological information measuring apparatus according to claim 6, wherein: the calculation is performed as the noise component ratio pv. The biological information measuring apparatus according to any one of claims 1 to 7, wherein the noise index calculation unit calculates a standard deviation of the histogram as the predetermined noise index. The biological information measuring apparatus according to claim 1, wherein the noise index calculation unit calculates a variation in period in the measurement data as the predetermined noise index. The measurement unit irradiates the living tissue of the living body with first light having a predetermined first wavelength, receives the first light transmitted or reflected through the living tissue of the living body, and outputs first measurement data. Second measurement data is received by irradiating the biological tissue of the living body with second light having a predetermined second wavelength different from the first wavelength, and receiving or transmitting the second light transmitted or reflected through the biological tissue of the biological body. A sensor unit including a second sensor unit that outputs
The noise index calculation unit determines each of the first ratio R of the alternating current component to the direct current component in the first measurement data and the second ratio IR of the alternating current component to the direct current component in the second measurement data as the signal component s. The noise component ratio pv in the case where R = s × pa + n × pv and IR = s + n is expressed by the noise component n, and the difference between the overall expected value in the whole histogram and the noise component ratio pv is calculated as the predetermined value. It calculates as a noise parameter | index. The biological information measuring device of any one of Claim 1 thru | or 7 characterized by these. The histogram calculation unit obtains a histogram f (p) of a third ratio p between the first ratio R and the second ratio IR;
The biological information measurement apparatus according to claim 10, wherein the noise index calculation unit calculates the noise component ratio pv from the histogram f (p) of the third ratio p. The measurement unit irradiates the living tissue of the living body with first light having a predetermined first wavelength, receives the first light transmitted or reflected through the living tissue of the living body, and outputs first measurement data. Second measurement data is received by irradiating the biological tissue of the living body with second light having a predetermined second wavelength different from the first wavelength, and receiving or transmitting the second light transmitted or reflected through the biological tissue of the biological body. A sensor unit including a second sensor unit that outputs
The histogram calculation unit calculates a histogram f (p) of a third ratio p between a first ratio of the AC component to the DC component in the first measurement data and a second ratio of the AC component to the DC component in the second measurement data. Seeking
The noise index calculation unit is pt = ∫pf (p) dp (integral ∫ is a minimum class value plow to a maximum class value pup in a plurality of classes of the histogram f (p) of the third ratio p. In the case of the first case of p ≦ pt or g (p) −f (p) ≦ 0, the function h ( In the case of p) = 0 and the second case excluding the first case, the function h (p) = {g (p) −f (p)} / ∫ {g (p) −f (p)} dp (The integral ∫ is executed in the range from the minimum class value plow to the maximum class value pup. However, p ≦ pt and g (p) −f (p) ≦ 0 in the region of p. Ex.) {∫p ² × h (p) dp−∫p × h (p) dp} ^1/2 (both integrals are pt? The biological information measuring device according to any one of claims 1 to 7, wherein the predetermined noise index is calculated as a predetermined noise index. . A measurement process for measuring a predetermined physiological phenomenon in the measurement target and outputting measurement data;
A histogram calculation step for obtaining a histogram based on the measurement data measured by the measurement step;
A noise index calculation step of calculating a predetermined noise index representing the degree of noise included in the measurement data;
When the noise index calculated by the noise index calculation step is equal to or greater than a predetermined threshold, at least one of the upper limit value and the lower limit value in a predetermined integration range set in advance is changed, and the integration after the change An expected value calculation step of calculating an expected value using a histogram obtained by the histogram calculation step in a range;
A biological information measuring method comprising: a biological information calculating step for obtaining the predetermined biological information based on the expected value calculated by the expected value calculating step.

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