CN108836298A - A kind of heartbeat detection device and its detection method based on obliquity sensor - Google Patents
A kind of heartbeat detection device and its detection method based on obliquity sensor Download PDFInfo
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- 108010076504 Protein Sorting Signals Proteins 0.000 description 8
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- VCLHHRGZKNUOAQ-UHFFFAOYSA-N 2,5-dichloro-n-[4-[(2,5-dichlorobenzoyl)amino]phenyl]benzamide Chemical compound ClC1=CC=C(Cl)C(C(=O)NC=2C=CC(NC(=O)C=3C(=CC=C(Cl)C=3)Cl)=CC=2)=C1 VCLHHRGZKNUOAQ-UHFFFAOYSA-N 0.000 description 1
- 208000019901 Anxiety disease Diseases 0.000 description 1
- 208000001871 Tachycardia Diseases 0.000 description 1
- 230000036506 anxiety Effects 0.000 description 1
- 239000008280 blood Substances 0.000 description 1
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- 210000002318 cardia Anatomy 0.000 description 1
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- 238000011897 real-time detection Methods 0.000 description 1
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/024—Detecting, measuring or recording pulse rate or heart rate
- A61B5/02416—Detecting, measuring or recording pulse rate or heart rate using photoplethysmograph signals, e.g. generated by infrared radiation
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Abstract
The present invention provides a kind of heartbeat detection device and its detection method based on obliquity sensor, it is related to heart rate detection technical field, detection device, including sequentially connected sensor, analog-digital converter, controller and data transmission module and the power module being respectively connected with the sensor, analog-digital converter, controller and data transmission module, the sensor is high-precision tilt angle sensor.Detection method, including AD signal acquisition:Controller with high-precision tilt angle sensor is placed at heart and acquires signal and converts signal through analog-digital converter;Controller by after conversion signal amplification, blocking, obtain discrete heart impact signal after filtering;Operation and the adjacent pulse wave interval series for counting several periods;Count and calculate the cross-correlation of the adjacent pulse wave interval series in several periods;It counts the period of highly relevant adjacent pulse wave interval series and averages;Find out heart rate value.
Description
Technical field
The present invention relates to a kind of heartbeat detection device and its detection method based on obliquity sensor, belongs to heart rate detection skill
Art field.
Background technique
With the improvement of living standards, the people for suffering from cardiovascular disease is also more and more, therefore people get over the health of itself
More pay attention to, cardiovascular disease has become contemporary society and threatens one of human health common disease, in order to controlling well
Disease incidence needs the physiologic information of long-term monitoring patient's cardiovascular diseases.Heart rate is particularly important one of the physiological parameter of human body, the heart
The speed of rate can reflect the situation of human body body fortune blood.Heart rate is cardiovascular to the detection of cardiovascular disease, prevention and to control
The disease incidence etc. of disease has important application.
Heart rate refers to the number that human heart is beated per minute, and value varies with each individual, even and the same person not
With under state, value is also not quite similar, in general, people's heart rate in quiet or sleep state is slower, movement, anxiety or the state of an illness
Heart rate is too fast when breaking-out, and normal adult heart rate value is at 75 beats/min or so.
Method for measuring heart rate is broadly divided into three kinds at present:First is that pulse frequency is calculated by fluctuation that pressure sensor measures,
Often it is used in conjunction with measuring blood pressure;Second is that extracting adjacent R wave wave clearance from electrocardiogram;Third is that being traced using photoplethysmographic
Method.First two method is at high cost, volume is big, it is inconvenient to wear, for a long time using will increase user's physiology and psychological do not relax
Suitable sense.The method being widely used at present is photoplethymograph, but the method needs sensor to be tightly attached on human skin tissue, when
Wearing mode is improper, perspiring or when by other external environmental interferences, it cannot be guaranteed that the accuracy of data.
In view of this, the applicant specializes in this, develop a kind of non-contact, non-invasive, conveniently
Thus heartbeat detection device and its detection method based on obliquity sensor, this case generate.
Summary of the invention
In order to solve drawbacks described above existing in the prior art, the purpose of the present invention is to provide one kind to be sensed based on inclination angle
The heartbeat detection device and its detection method of device.
To achieve the goals above, the technical solution adopted by the present invention is as follows:
A kind of heartbeat detection device based on obliquity sensor, including sequentially connected sensor, analog-digital converter, control
Device and data transmission module and the electricity being respectively connected with the sensor, analog-digital converter, controller and data transmission module
Source module, the sensor are high-precision tilt angle sensor.
A kind of detection method of the heartbeat detection device based on obliquity sensor, includes the following steps:
Step 1: AD signal acquisition:Controller with high-precision tilt angle sensor is placed at heart and acquires signal simultaneously
Signal is converted through analog-digital converter;
Step 2: controller by after conversion signal amplification, blocking, obtain discrete heart impact signal after filtering;
Step 3: operation and counting the adjacent pulse wave interval series in several periods;
Step 4: counting and calculating the cross-correlation of the adjacent pulse wave interval series in several periods;
Step 5: counting the period of highly relevant adjacent pulse wave interval series and averaging;
Step 6: finding out heart rate value.
Preferably, in the step 3, operation and the adjacent pulse wave interval series f for counting 8 periodsi(i∈0,
7), defining pulse wave is J wave, interval time T between adjacent pulse wave J wavetlMeet condition Ttl∈ (375,1714) (unit:In the least
Second), it records every TtlTime range, the time interval T of the maximum value of every two adjacent J wavei(i ∈ 0,7), defines the time
It is spaced Ti(i ∈ 0,7) is a cycle.
Preferably, in the step 4, using Fourier convert in convolution theorem count and calculate 8 periods
The cross-correlation of adjacent pulse wave interval series:Calculate the degree of correlation C of every two discrete seriesi,j(i, j ∈ 0,7), when the degree of correlation exists
It is highly relevant between sequence when in (0.8,1) ∪ ∈ (- 1, -0.8) range, two sequences are defined as the punching of the more accurately heart
Signal sequence is hit, C is recordedi,j∈(0.8,1)∪Ci,jSubscript value i, j are sequence number in ∈ (- 1, -0.8), and flag bit is arranged
flagi(i ∈ 0,7) is by flagi=1, flagj=1.
Further, by flagiThe cycle T of=1 heart impulse signali(i ∈ 0,7) summation calculates mean value TaverAnd
Find out heart rate value AHR.
Further, the calculating of the heart rate value passes through formula AHR=60/Taver。
Further, human life feature detection step is additionally provided between the step 2 and three:Judge to connect in 1 minute
Whether the time interval of continuous pulse wave is stable, if the time interval error of continuous two pulse waves is assert in the range of 2%
It detects human life feature, otherwise continues to repeat the step.
Preferably, the data transmission module is wireless blue tooth module.
The working principle of the invention:Heart rate detection method based on obliquity sensor is a kind of non-contact, noninvasive measurement
Method, it realizes noninvasive inspection by the angle change during detection heartbeat close to cardia by high-precision sensor
The method of heart rate measuring, high-precision tilt angle sensor are used to measure whether something is in horizontal, upright position or with level at certain
Angle, be in the nature accelerometer, measure component of the terrestrial gravitation in measurement direction, the basic principle of apparatus of the present invention detection
For in people's Heart Beat procedure, body can generate the microvibration for being parallel to vertebra axis direction, using high-precision tilt angle sensor measurement
" pulsation " that human heart beating causes body subtle, period of change of the electric signal of sensor after filtering processing is exactly the heart
Rate.
The present invention is able to achieve following technical effect:
(1) detection device of the present invention can real-time recording and displaying:Heart rate detection is 8 heart beat cycles, detection time
Probably at 5 to 8 seconds, real-time detection is realized.The controller that sensor should be had simultaneously can carry out Bluetooth communication with mobile phone, realize
Real-time display and monitoring.
(2) the disadvantages of detection device of the present invention overcomes traditional high cost of heart rate detection instrument, inconvenient for use has non-straight
Connect contact, it is non-invasive, convenient and efficient, can the high feature of non-volatile recording, cost performance, and testing result is more effectively more scientific.
Detailed description of the invention
Fig. 1 is a kind of structural block diagram of the heartbeat detection device based on obliquity sensor of the present embodiment;
Fig. 2 is that the present embodiment is a kind of based on the heartbeat detection device of obliquity sensor part electricity relevant to obliquity sensor
Road interface principle figure;
Fig. 3 is a kind of flow chart of the detection method of the heartbeat detection device based on obliquity sensor of the present embodiment;
Fig. 4 is a kind of heartbeat detection device and its detection method centric(al) impact signal based on obliquity sensor of the present embodiment
(BCG) schematic diagram.
Mark explanation:Obliquity sensor 001, analog-digital converter 002, controller 003, wireless blue tooth 004, power module
005, J wave 006.
Specific embodiment
In order to make the attainable technical effect of technological means of the invention and its institute, more perfect exposure can be become apparent from,
One embodiment is hereby provided, and is described in detail as follows in conjunction with attached drawing:
As illustrated in fig. 1 and 2, Fig. 1 is a kind of structural block diagram of the heartbeat detection device based on obliquity sensor of the present embodiment,
Fig. 2 is a kind of circuit diagram of the heartbeat detection device based on obliquity sensor of the present embodiment, and the present embodiment one kind is passed based on inclination angle
The heartbeat detection device of sensor include sequentially connected sensor, analog-digital converter 002, controller 003 and data transmission module,
And the power module being respectively connected with sensor, analog-digital converter, controller and data transmission module, sensor are high-precision
Obliquity sensor 001, data transmission module are wireless blue tooth module 004.In the present embodiment, obliquity sensor 001, analog-to-digital conversion
Device 002, controller 003, wireless blue tooth 004 are connected with power module 005.
A kind of detection mode of the heartbeat detection device based on obliquity sensor of the present embodiment:As shown in figure 3, Fig. 3 is this
A kind of flow chart of the detection method of the heartbeat detection device based on obliquity sensor of embodiment.
Step S100 software initialization and step S101AD signal acquisition:The controller of high-precision angle sensor will be had
003 is attached to the position (can not need directly to contact human skin) of the human body chest left side or back close to heart, or will control
Device 003 processed is fixed, and people actively leans on or lies in above instrument, acquires untreated, faint human body heart punching in this way
Hit signal.
Controller 003 amplifies the AD acquisition signal after analog-to-digital conversion, blocking, filtering operation obtain the discrete heart and rush
Hit signal sequence (BCG).
Step S102 is detected whether with human body physical sign:As shown in figure 4, Fig. 4 is that the present embodiment one kind is sensed based on inclination angle
The heartbeat detection device and its detection method centric(al) impact signal (BCG) schematic diagram of device 001, the inspection for human life feature
It surveys, extracts the heart impact signal (BCG) in measuring signal, find two adjacent pulse wave J waves, i.e. BCG peak value in BCG, count 1 point
Whether the time interval (i.e. J-J interphase) of continuous J wave is stable in clock.If range of the period error 2% between continuous two J-J
It is interior, then it is assumed that have detected that human life feature, otherwise continue step S102.
Step S103 records 8 adjacent pulse wave interval series:Transfer to 003 operation of controller simultaneously statistical calculation and statistics 8
Adjacent pulse wave interval series (J-J interval series) f in a periodi(i ∈ 0,7), definition pulse wave are J wave 006, adjacent pulse
Interval time T between wave J wave 006tlMeet condition Ttl∈(375,1714)(unit:Ms), record is every TtlTime range, often
The time interval T of the maximum value of two adjacent J waves 006i(i ∈ 0,7) defines time interval Ti(i ∈ 0,7) is a week
Phase (heart impact signal period).Interphase, that is, adjacent J wave 006 time interval.
Step S104 seeks the cross-correlation of 8 adjacent pulse wave interval series:Using Fourier convert in convolution theorem unite
Count and calculate the cross-correlation of 8 signal sequences, i.e., the degree of correlation C of 8 signal sequence every two discrete seriesi,j(i, j ∈ 0,7),
Highly relevant between sequence when the degree of correlation is in (0.8,1) ∪ ∈ (- 1, -0.8) range, defining the two sequences is to compare
Accurate heart impulse signal, records Ci,j∈(0.8,1)∪Ci,jSubscript value i, j, i.e. sequence number in ∈ (- 1, -0.8), if
Set flag bit flagi(i ∈ 0,7) is by flagi=1, flagj=1, not highly relevant sequence regards as noise signal.
Step S105 counts the period of highly relevant adjacent pulse wave interval series and averages:By flagi=1 week
Phase signal sequence cycle Ti(i ∈ 0,7) sums and calculates mean value Taver。
Step S106 seeks heart rate value, and the calculation formula of heart rate value AHR is AHR=60/Taver。
It repeats the above steps and the real-time heart rate of each period can be obtained.
Step S107 chooses whether to need to upload data, if selection is to then follow the steps S108 to send request/report to upper
Position machine, if you select No thens follow the steps S101AD signal acquisition.Data are uploaded by wireless blue tooth 004 in the present embodiment.
It should be noted that spike is more apparent in BAG, is relatively easy to distinguish, measurement heart rate is obtained by J-J interphase;
The frequency that human heart is beated every time is variant, and signal is aperiodic discrete series.
Collected human body heart impact signal is very faint, and actual measurement situation and nonideality inevitably will receive the external world
The influence of the noise of various aspects easily causes erroneous judgement when taking signal sequence too short.So 8 continuous pulse wave J-J of selection
Input of the heart impulse signal of interphase as heart rate detection, it can be ensured that at least two periodic sequences are the heart punchings of cross-correlation
Signal sequence is hit, and time of measuring is also relatively more reasonable.Because of human heart rate's range (including tachycardia between 35 to 160
With too slow situation), it can be in peril of one's life more than this range, formula is calculated according to instantaneous heart rate
IHR=60/T is 1.
60 represent 1 minutes in formula, and T represents heart beat cycle.
The periodic regime T of an available heartbeattlBe 375 milliseconds to 1714 milliseconds, thus obtain adjacent J wave 006 it
Between interval time Ttl, Ttl∈(375,1714)(unit:ms).,
It should be noted that in continuous heart impulse signal, two very short sequences of adjacent or interval time
Between should be it is highly relevant, in field of signal processing, cross-correlation (also referred to as " cross covariance ") is used to indicate that two
One of similitude measurement between a signal, usually by compared with known signal for finding the characteristic in unknown signaling.Mutually
Correlation is substantially similar to the convolution of two functions.And when acquiring signal inaccuracy, the cross-correlation between sequence be it is random, i.e.,
Ci=± 0.5, therefore can judge whether acquisition signal is accurate by comparing the degree of correlation between periodic signal sequence.Work as sequence
When highly relevant between column, i.e. Ci,j∈(0.8,1)∪Ci,j∈ (- 1, -0.8) then assert that the two sequences are a heart impact letter
Number sequence, records the time T of the sequenceiThen it is high to count the degree of correlation in 8 sequences by (i ∈ 0,7), i.e. heart impact signal period
Sequence and the T that averagesaver, according to average heart rate calculation formula 2. with formula 1.
AHR=(IHR1+IHR2+...+IHRn)/n is 2.
Obtaining average heart rate is AHR=60/Taver
The above content is combine the preferred embodiment of the present invention to made by provided technical solution further specifically
It is bright, and it cannot be said that the present invention specific implementation be confined to it is above-mentioned these explanation, for the common skill of the technical field of the invention
For art personnel, without departing from the inventive concept of the premise, a number of simple deductions or replacements can also be made, all should be considered as
It belongs to the scope of protection of the present invention.
Claims (8)
1. a kind of heartbeat detection device based on obliquity sensor, it is characterised in that:Turn including sequentially connected sensor, modulus
Parallel operation, controller and data transmission module and with the sensor, analog-digital converter, controller and data transmission module point
Not Xiang Lian power module, the sensor be high-precision tilt angle sensor.
2. a kind of detection method of the heartbeat detection device based on obliquity sensor, it is characterised in that:Include the following steps:
Step 1: AD signal acquisition:Controller with high-precision tilt angle sensor is placed at heart and acquires signal and through mould
Number converter converts signal;
Step 2: controller by after conversion signal amplification, blocking, obtain discrete heart impact signal after filtering;
Step 3: operation and counting the adjacent pulse wave interval series in several periods;
Step 4: counting and calculating the cross-correlation of the adjacent pulse wave interval series in several periods;
Step 5: counting the period of highly relevant adjacent pulse wave interval series and averaging;
Step 6: finding out heart rate value.
3. a kind of detection method of the heartbeat detection device based on obliquity sensor as claimed in claim 2, it is characterised in that:
In the step 3, operation and the adjacent pulse wave interval series f for counting 8 periodsi(i ∈ 0,7), definition pulse wave are J wave,
Interval time T between adjacent pulse wave J wavetlMeet condition Ttl∈ (375,1714) is recorded every TtlTime range, every two
The time interval T of the maximum value of adjacent J wavei(i ∈ 0,7) defines time interval Ti(i ∈ 0,7) is a cycle.
4. a kind of detection method of the heartbeat detection device based on obliquity sensor as claimed in claim 2, it is characterised in that:
In the step 4, using Fourier convert in convolution theorem count and calculate the adjacent pulse wave interval series in 8 periods
Cross-correlation:Calculate the degree of correlation C of every two discrete seriesi,j(i, j ∈ 0,7), when the degree of correlation (0.8,1) ∪ ∈ (- 1 ,-
0.8) highly relevant between sequence when in range, two sequences are defined as more accurately heart impulse signal, are recorded
Ci,j∈(0.8,1)∪Ci,jSubscript value i, j are sequence number in ∈ (- 1, -0.8), and flag bit flag is arrangedi(i ∈ 0,7) is by flagi
=1, flagj=1.
5. a kind of detection method of the heartbeat detection device based on obliquity sensor as claimed in claim 4, it is characterised in that:
By flagiThe cycle T of=1 heart impulse signali(i ∈ 0,7) summation calculates mean value TaverAnd find out heart rate value AHR.
6. a kind of detection method of the heartbeat detection device based on obliquity sensor as claimed in claim 5, it is characterised in that:
The calculating of the heart rate value passes through formula AHR=60/Taver。
7. a kind of detection method of the heartbeat detection device based on obliquity sensor as claimed in claim 2, it is characterised in that:
Human life feature detection step is additionally provided between the step 2 and three:Judge in 1 minute between the time of continuous pulse wave
Every whether stable, if the time interval error of continuous two pulse waves, in the range of 2%, identification detects human life spy
Otherwise sign continues to repeat the step.
8. a kind of heartbeat detection device based on obliquity sensor as described in claim 1, it is characterised in that:The data pass
Defeated module is wireless blue tooth module.
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