CN105342583B - A kind of the elderly's intelligent monitoring device of high-precision step counting - Google Patents
A kind of the elderly's intelligent monitoring device of high-precision step counting Download PDFInfo
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- 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
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/0024—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system for multiple sensor units attached to the patient, e.g. using a body or personal area network
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- 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
- A61B5/0245—Detecting, measuring or recording pulse rate or heart rate by using sensing means generating electric signals, i.e. ECG signals
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1116—Determining posture transitions
- A61B5/1117—Fall detection
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
- A61B5/1118—Determining activity level
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6802—Sensor mounted on worn items
- A61B5/681—Wristwatch-type devices
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2503/00—Evaluating a particular growth phase or type of persons or animals
- A61B2503/08—Elderly
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Abstract
The present invention relates to medical internet of things field, in particular to a kind of the elderly's intelligent monitoring device of high-precision step counting, including wrist instrument；The wrist instrument includes second processor and coupled pulse transducer, the second blue tooth interface, LCD display；Including waist instrument, the waist instrument includes first processor and coupled step-counting sensor, high-precision step counting computing unit, mobile communication transmission unit, the first blue tooth interface；Second blue tooth interface is connect with the first blue tooth interface Bluetooth communication；The paces data that the high-precision step counting computing unit is used to perceive step-counting sensor calculate, and obtain high-precision step counting；The high-precision step counting is sent to wrist instrument by second blue tooth interface, shows in the LCD display；So that carrying out the physiological status of comprehensive descision children under guardianship in conjunction with pulse and paces, make to judge that the accuracy of physiological health situation significantly improves.
Description
Technical field
The present invention relates to medical internet of things field, in particular to the elderly's intelligent monitor of a kind of high-precision step counting fills
It sets.
Background technique
According to the 6th national census data, 60 years old and the above population account for the 13.26% of total population ratio, wherein 65
Year and the above population account for the 8.87% of total population ratio.According to current international practice standard, when 60 years old and the above population accounted for total population ratio
Example reach 10% or over-65s population account for total population ratio up to 7%, which is just identified as entering aging society
Meeting.It follows that China comes into aging society.According to scholarly forecast, to the population in the year two thousand fifty China 60 years old or more
400,000,000 or so are up to, the specific gravity for accounting for total population will be more than 25.2%.At that time, just there is 1 the elderly among every 4 Chinese,
China will become the country of height aging.
In order to carry out the related spirit of national Internet+Strategic Action Plan, according to " Chinese programs for the elderly develops
" 12th Five-Year Plan " planning " it proposes: " accelerates the construction of family endowment service information system, carry out family endowment information on services platform pilot
Work, and gradually expand pilot range；Programs for the elderly Informatization Cooperative advance mechanism is established, aged information collection, analysis are established
Data platform perfects elderly people in city and country's weather tracking and monitoring system." it is necessary for the offers of the health of the elderly for we
The intelligent monitoring device of real-time high-efficiency.
It is in since many old men live alone for a long time, neglected, health status is unable to get guarantee, when accident occurs
It is unable to get and timely gives treatment to.On the other hand, the accident that nobody offers assistance when old man's accidental falls are fallen in a swoon occurs again and again in recent years.
It can be seen that the problems such as old man's medical treatment daily life, highlights.
As technology of Internet of things continues to develop, the continuous promotion of sensor technology, the appearance of various high-performance sensors, pole
The earth promotes the progress of physiological detection technology.Also, the development of embedded technology also provides indispensability for safeguard and supervision for the aged system
Technical support.
There are many Intelligent bracelets currently on the market, but the emphasis of numerous Intelligent bracelets is fresh science and technology experience,
Its major function is the fitness-assisting function of motion tracking and timing, seldom occurs paying close attention to old, the daily physiology monitoring of You Deng group
Product；Part Intelligent bracelet on the market has the function of heart rate, pulse detection now, but most Intelligent bracelets are worn on wrist
On, induction to paces data and processing are accurate, lead to be unable to that accurate judgement is old, physiological health situation of You Deng group.It is special
Not, when paces judge inaccuracy, the accuracy that will lead to old, You Deng group the physiological health situation of judgement is greatly reduced.
Summary of the invention
In view of the shortcomings of the prior art, the purpose of the present invention is to provide a kind of the elderly's intelligent monitor of high-precision step counting dresses
It sets, can solve the problems, such as that the health supervision device accuracy of the prior art is lower.
The elderly's intelligent monitoring device of high-precision step counting, including wrist instrument；The wrist instrument includes second processing
Device and coupled pulse transducer, the second blue tooth interface, LCD display；
The intelligent monitoring device includes waist instrument, and the waist instrument includes first processor and coupled
Step-counting sensor, high-precision step counting computing unit, mobile communication transmission unit, the first blue tooth interface；
Second blue tooth interface is connect with the first blue tooth interface Bluetooth communication；
The paces data that the high-precision step counting computing unit is used to perceive step-counting sensor calculate, and obtain high
Precision step counting；
The high-precision step counting is sent to wrist instrument by second blue tooth interface, shows in the LCD display.
Preferably, the step-counting sensor is 3-axis acceleration sensor.
Preferably, the step counting data perceived to step-counting sensor calculate, and obtaining high-precision step counting includes pair
The step counting data that the step-counting sensor obtains are combined filtering, carry out paces judgement to the step counting data after combined filter,
To being determined as that effective paces count.
Preferably, the combined filter includes the group of morphologic filtering operation, median filtering operation and average filtering operation
It closes, the morphologic filtering operation is for removing baseline drift；The median filtering operation is for removing pulse signal and burr
Noise, the average filter operation are used for smooth signal, keep the wave character of signal more obvious.
Preferably, the paces data that the morphologic filtering operation perceives step-counting sensor successively use two kinds of differences
The structural element of length is filtered, comprising:
The structural element of g1 is filtered by the mean operation of opening and closing and make and break operation, constitutes first order morphologic filtering
Device, for removing baseline drift, it may be assumed that
F1=(fg1 ο g1+f ο g1g1)/2
The structural element of g2 is filtered by the mean operation of opening and closing and make and break operation, constitutes second level morphologic filtering
Device, for removing noise, it may be assumed that
F2=(F1g2 ο g2+F1 ο g2g2)/2
Wherein, f represents the paces data that step-counting sensor is perceived, after F1 indicates original signal first time opening and closing operation
Signal, F2 indicate that the signal after second of opening and closing operation, g1 indicate that first order morphological structuring elements, g2 indicate second level form
Structural element is learned, indicates closed operation, ο indicates opening operation.
Preferably, the median filtering operation is using the method for the sliding window of the default long size of window to step-counting sensor institute
The paces data of perception are filtered, and remove pulse signal and glitch noise, it may be assumed that
F3'=median { f3, N3 }, f3 ∈ F3
Wherein, median { f3, N3 } indicates that median filtering algorithm, f3 are the values in sliding window, and the value is from transmitting
The signal F3, F3 of entrance be data F3' after the paces data f or morphologic filtering operation that step-counting sensor is perceived it
One, F3 ' it is signal after median filtering；
Preferably, the average filter operation using default moving window size to after median filtering signal or step counting
The paces data that sensor is perceived are filtered, and are carried out to signal smooth；
Wherein, the signal after the smothing filtering that F4 is, m expression carry out average filter since m-th of value of F3 ' signal
Wave operation.
Preferably, the step counting data to after combined filter carry out paces judgement, to being determined as that effective paces carry out
If counting includes: one of following three conditions of step counting data satisfaction after combined filter, it is determined as effective paces, it is carried out
It counts:
Fixed threshold condition: calculating the range value of the waveform of filtered data, when range value is more than reservation threshold, judgement
This condition meets, and the reservation threshold is the empirical value of multiple data test.
F4 (m-1)≤s tan dardvalue and F4 (m) >=s tan dardvalue
Wherein, F4 (m-1) and F4 (m) indicates that the signal amplitude value at adjacent two moment, more data of standardvalue are surveyed
Try obtained empirical value；Or
Wave crest and wave trough condition: when detecting adjacent pair peaks and troughs, and adjacent peaks and the difference of trough are greater than
When a certain standard value, determine that this condition meets；Or
Similarity condition: the similarity of filtered data and standard signal is calculated, when similarity reaches a certain standard value, is sentenced
This fixed condition meets.
Preferably, the step counting data to after combined filter carry out paces judgement, to being determined as that effective paces carry out
If counting includes: the step counting data after combined filter while meeting following three conditions, it is determined as effective paces, it is carried out
It counts:
Fixed threshold condition: calculating the range value of the waveform of filtered data, when range value is more than reservation threshold, judgement
This condition meets, and the reservation threshold is the empirical value of multiple data test.
F4 (m-1)≤s tan dardvalue and F4 (m) >=s tan dardvalue
Wherein, F4 (m-1) and F4 (m) indicates that the signal amplitude value at adjacent two moment, more data of standardvalue are surveyed
Try obtained empirical value；With
Wave crest and wave trough condition: when detecting adjacent pair peaks and troughs, and adjacent peaks and the difference of trough are greater than
When a certain standard value, determine that this condition meets；With
Similarity condition: the similarity of filtered data and standard signal is calculated, when similarity reaches a certain standard value, is sentenced
This fixed condition meets.
Preferably, the similarity is calculated according to the related coefficient of filtered data and standard signal, works as phase relation
Number works as R greater than when repeatedly testing obtained empirical value similarvaluesfWhen > similarvalue, similarity condition is determined
Meet, whereinThe related coefficient for indicating filtered data and standard signal, if SnFor standard signal array,
f4nFor filtered data array, n≤NP, NPIndicate filtered data array length
The present invention can carry out the physiological status of comprehensive descision children under guardianship in conjunction with pulse and paces, make to judge that physiology is strong
The accuracy of health situation significantly improves.
Detailed description of the invention
Fig. 1 is the elderly's intelligent monitoring device preferred embodiment structure chart of high-precision step counting of the present invention；
Fig. 2 is another preferred embodiment structure chart of the elderly's intelligent monitoring device of high-precision step counting of the present invention；
Fig. 3 is another preferred embodiment structure chart of the elderly's intelligent monitoring device of high-precision step counting of the present invention.
Specific embodiment
Preferred implementation below in conjunction with attached drawing, to a kind of the elderly's intelligent monitoring device of high-precision step counting of the invention
Example is described in detail.
Fig. 1 is that a kind of structure of the elderly's intelligent monitoring device first preferred embodiment of high-precision step counting of the invention is shown
It is intended to, the elderly's intelligent monitoring device of high-precision step counting of the present invention includes wrist instrument 400；
The wrist instrument 400 includes second processor 401 and the pulse transducer being connected with second processor 401
411, the second blue tooth interface 403, LCD display 405；
The elderly's intelligent monitoring device of high-precision step counting of the present invention further includes waist instrument 300, the waist instrument 300
Including first processor 301 and the step-counting sensor being connected with first processor 301 307, high-precision step counting computing unit
309, mobile communication transmission unit 313, the first blue tooth interface 303；
Second blue tooth interface 403 is connect with 303 Bluetooth communication of the first blue tooth interface；
The paces data that the high-precision step counting computing unit 309 is used to perceive step-counting sensor calculate, and obtain
Obtain high-precision step counting；
The high-precision step counting is sent to wrist instrument 400 by second blue tooth interface 403, in LCD display 405
Display.
Wherein, the paces data that the high-precision step counting computing unit 309 is used to perceive step-counting sensor 307 carry out
It calculates, obtains high-precision step counting, in general, the meter that step-counting sensor 307 can be perceived using this field common methods
Step data is calculated, and step counting is obtained.
The step-counting sensor 307 can be using the conventional sensor for step counting, it is preferable that uses 3-axis acceleration
Sensor；3-axis acceleration sensor has the characteristics that small in size and light-weight, can measure steric acceleration, can be comprehensively accurate
Reflect the kinetic property of object.
Generally, the step counting data perceived to step-counting sensor 307 calculate, and obtain high-precision step counting, packet
It includes: obtaining the carry out routine filtering of step counting data to by step-counting sensor 307, conventional filtered step counting data are walked
Judgement is cut down, is effectively counted to determining that paces are judged as.
Preferably, the step counting data perceived to step-counting sensor 307 calculate, and obtain high-precision step counting, packet
It includes: filtering is combined to the step counting data that step-counting sensor 307 obtains, paces are carried out to the step counting data after combined filter and are sentenced
It is disconnected, to being determined as that effective paces count.
The combined filter includes the combination of morphologic filtering operation, median filtering operation and average filtering operation, described
Morphologic filtering operation is for removing baseline drift；The median filtering operation is for removing pulse signal and glitch noise, institute
Average filter operation is stated for smooth signal, keeps the wave character of signal more obvious；
The morphologic filtering operation, median filtering operation or average filter operation can using means commonly used in the art into
Row.
Preferably, the paces data that the morphologic filtering operation perceives step-counting sensor successively use two kinds of differences
The structural element of length is filtered, comprising:
The structural element of g1, length N1 are filtered by the mean operation of opening and closing and make and break operation, constitute first order shape
State filter, for removing baseline drift, formula are as follows:
/ 2 (1) F1=(fg1 ο g1+f ο g1g1)
The structural element of g2, length N2 are filtered by the mean operation of opening and closing and make and break operation, constitute second level shape
State filter, for removing noise, formula are as follows:
/ 2 (2) F2=(F1g2 ο g2+F1 ο g2g2)
Wherein, f represents the paces data that step-counting sensor is perceived, after F1 indicates original signal first time opening and closing operation
Signal, F2 indicate that the signal after second of opening and closing operation, g1 indicate that first order morphological structuring elements, g2 indicate second level form
Structural element is learned, indicates closed operation, ο indicates opening operation.
It is the method for the sliding window of N3 to morphologic filtering operation that the median filtering operation, which uses the default long size of window,
The paces data that data or step-counting sensor afterwards are perceived are filtered, and are removed pulse signal and glitch noise, are seen following
Formula:
F3'=median { f3, N3 }, f3 ∈ F3 (3)
Wherein, median { f3, N3 } indicates that median filtering algorithm, f3 are the values in sliding window, and the value is from transmitting
The signal F3, F3 of entrance be data F3' after the paces data f or morphologic filtering operation that step-counting sensor is perceived it
One, F3 ' it is signal after median filtering；
The average filter operation is using default moving window size N4 to the signal or step counting sensing after median filtering
The paces data that device is perceived are filtered, and carry out smoothly, seeing following formula to signal:
Wherein, the signal after the smothing filtering that F4 is, m expression carry out average filter since m-th of value of F3 ' signal
Wave operation.
The step counting data to after combined filter carry out paces judgement, to being determined as that effective paces carry out counting packet
It includes: if the step counting data after combined filter meet one of following three conditions, being determined as effective paces, it is counted:
Fixed threshold condition: calculating the range value of the waveform of filtered data, when range value is more than reservation threshold, judgement
This condition meets, and the reservation threshold is the empirical value of multiple data test.
F4 (m-1)≤s tan dardvalue and F4 (m) >=s tan dardvalue (5)
Wherein, F4 (m-1) and F4 (m) indicates that the signal amplitude value at adjacent two moment, more data of standardvalue are surveyed
Try obtained empirical value
Wave crest and wave trough condition: when detecting adjacent pair peaks and troughs, and adjacent peaks and the difference of trough are greater than
When a certain standard value, determine that this condition meets.
Specifically, since filtered signal is more smooth, therefore signal is monitored using formula (6) (7) (8),
Whenever detecting adjacent pair Wave crest and wave trough, and the difference of Wave crest and wave trough is greater than the empirical value repeatedly measured
Differentvalue then determines to meet Wave crest and wave trough condition.
Wave crest, trough, peaks and troughs difference can there are many mode, can using this field to Waveform Inspection Technology into
Row detection.
Preferably, following formula can be respectively adopted to be detected respectively:
The detection of wave crest: F4 (m-2)≤F4 (m-1)≤F4 (mH), and F4 (mH) >=F4 (m+1) >=F4 (m+2) (6)
The detection of trough: F4 (m-2) >=F4 (m-1) >=F4 (mL), and F4 (mL)≤F4 (m+1)≤F4 (m+2) (7)
The detection of difference: F4 (mH)-F4 (mL) >=differentvalue (8)
Wherein, F4 (mH) indicates that current time wave crest signal amplitude value, F4 (mL) indicate current time trough signal amplitude
Value, F4 (m-1), F4 (m-2), F4 (m+1), F4 (m+2) respectively indicate previous moment, preceding two moment, later moment in time, rear two moment
Signal amplitude value, differentvalue indicates the empirical value that repeatedly measures.
Similarity condition: the similarity of filtered data and standard signal is calculated, when similarity reaches a certain standard value, is sentenced
This fixed condition meets；The standard signal is obtained according to the building of the baseline of filtered data.
Similarity can be calculated by the variance of filtered data and standard signal, can also be used commonly used in the art
Two kinds of signal waveforms between difference value calculated.
Preferably, when three above condition is all satisfied, paces determine successfully.
Preferably, the similarity is calculated according to the related coefficient of filtered data and standard signal, works as phase relation
Number works as R greater than when repeatedly testing obtained empirical value similarvaluesfWhen > similarvalue, determine that this condition is full
Foot, whereinThe related coefficient for indicating filtered data and standard signal, if SnFor standard signal array,
f4nFor filtered data array, n≤NP, NPIndicate filtered data array length,
The mobile communication transmission unit 313 is the delivery module using mobile communication technology, can be using including but not
It is limited to any communication technology such as GPRS, GSM, LTE, WIFI.
The present embodiment allows to come in conjunction with pulse and paces the physiological status of comprehensive descision children under guardianship, makes accuracy of judgement
Property significantly improves.
As another preferred embodiment, as shown in Fig. 2, the waist instrument 402 further includes being connected with first processor 410
Heart rate sensor 305, the positioning unit 303 connect；It is guarded so that carrying out comprehensive descision in conjunction with heart rate, pulse and paces
The physiological status of people, significantly improves judgment accuracy.
The positioning unit 303 obtains the data such as the current latitude and longitude value of children under guardianship, can use GPS module, WIFI
Any one in locating module, other satellite positioning modules.When the physiological status for finding children under guardianship is obviously abnormal, positioning
The location information that unit provides can help guardian to find children under guardianship as early as possible, to give first-aid measures as early as possible, and be supervised
When protecting the physiological status of people without obvious exception, guardian can also be helped to understand position or the scope of activities of children under guardianship.
The heart rate sensor 305, which acquires and obtains heart rate value, is sent to first sensor, while being connect by the first bluetooth
Mouth and the second blue tooth interface, and 405 show on the lcd screen.
As another preferred embodiment of the present invention, as shown in figure 3, a kind of the elderly's intelligence of high-precision step counting of the invention
The structural schematic diagram of the second preferred embodiment of monitor device, further includes the server 520 and terminal device 530 of distal end, respectively with
Wired or wireless way is connected with the mobile communication transmission unit 313 of waist instrument 301.
The server end 520 is responsible for receiving the data that waist instrument 301 is sent, and then carries out parsing classification storage, and
Real-time monitoring data are sent to client 530 in the case where there is the connection of terminal device 530, server 520 can be using distribution
Formula or any calculating equipment being independently arranged, the types such as including but not limited to tower, rack, blade type；.
The terminal device 530 can ensure that the real-time of monitoring with the physical condition of real-time display subjects, including
But it is not limited to mobile phone, computer, PAD, car-mounted terminal etc. and can move or irremovable any equipment.Meanwhile guardian is also
Server can be accessed by terminal device 530, carry out query history record information, ensure that the integrality of monitoring.
Preferably, the terminal device 530 also has alarm, when monitoring exception for alarming.
The function of this two part of client and server realizes the real-time and continuity of remote supervision system, so that whole
A monitoring function is more perfect and powerful.
The elderly's intelligent monitoring device of high-precision step counting of the present invention senses step counting by high-precision step counting computing unit
The paces data that device is perceived are calculated, and high-precision step counting is obtained；
Also, real-time detection children under guardianship count the collected data transmission of front end sensors to embedded system
According to processing.Server end is transmitted to by mobile communication transmission unit 313 again.Guardian can also read from terminal device 530
The data on server are taken, to reach the physical signs such as heart rate, position, the cadence for obtaining children under guardianship in real time.Complete collection
Monitor and be protected in a kind of the elderly's intelligent monitoring device of integrated high-precision step counting.Enhance the science of health supervision device
Property and practicability.
In said structure, processor hardware includes but is not limited to single-chip microcontroller, CPU, ARM embedded system, GPU processing
Device, FPGA system etc..
The present invention may be implemented positioning, step counting, heart rate real-time detection and intellectual analysis and show in LCD, and pass through wireless mould
Block, which will test data and be transferred on server and intelligent terminal, realizes fast alarms.The present invention breaks through Traditional Thinking for step function
Module setting uses the design high-precision step counting algorithm in waist, greatly improves the accuracy of step counting.
Finally, it is stated that preferred embodiment above is only used to illustrate the technical scheme of the present invention and not to limit it, although logical
Cross above preferred embodiment to the present invention carried out it is detailed describe, however, those skilled in the art should understand that, in form
The various changes made in upper and details to it should not deviate claims limited range.
Claims (5)
1. the elderly's intelligent monitoring device of high-precision step counting, including wrist instrument；The wrist instrument includes second processor
And coupled pulse transducer, the second blue tooth interface, LCD display；It is characterized by:
The intelligent monitoring device includes waist instrument, and the waist instrument includes first processor and coupled step counting
Sensor, high-precision step counting computing unit, mobile communication transmission unit, the first blue tooth interface；
Second blue tooth interface is connect with the first blue tooth interface Bluetooth communication；
The paces data that the high-precision step counting computing unit is used to perceive step-counting sensor calculate, and obtain high-precision
Step counting；Step counting data including obtaining to the step-counting sensor are combined filtering, to the step counting data after combined filter into
Row paces judgement, to being determined as that effective paces count；The combined filter includes morphologic filtering operation, median filtering
The combination of operation and average filtering operation, the morphologic filtering operation is for removing baseline drift；The median filtering operation
For removing pulse signal and glitch noise, the average filter operation is used for smooth signal, makes the wave character of signal more
Obviously；
The step counting data to after combined filter carry out paces judgement, if including: to being determined as that effective paces count
Step counting data after combined filter meet similarity condition or meet fixed threshold condition, Wave crest and wave trough condition and phase simultaneously
Like degree condition, then it is determined as effective paces, it is counted:
Fixed threshold condition: calculating the range value of the waveform of filtered data, when range value is more than reservation threshold, judges this
Part meets, and the reservation threshold is the empirical value of multiple data test；
F4 (m-1)≤standardvalue and F4 (m) >=standardvalue
Wherein, F4 (m-1) and F4 (m) indicates the signal amplitude value at adjacent two moment, more data test institutes of standardvalue
Obtained empirical value；
Wave crest and wave trough condition: when detecting adjacent pair peaks and troughs, and adjacent peaks and the difference of trough be greater than it is a certain
When standard value, determine that this condition meets；
Similarity condition: calculating the similarity of filtered data and standard signal, when similarity reaches a certain standard value, determines this
Condition meets；The similarity is calculated according to the related coefficient of filtered data and standard signal, when related coefficient is greater than
When repeatedly testing obtained empirical value similarvalue, that is, work as RsfWhen > similarvalue, determine that similarity condition meets,
WhereinThe related coefficient for indicating filtered data and standard signal, if SnFor standard signal array, f4nFor
Filtered data array, n≤NP, NPIndicate filtered data array length；
The high-precision step counting is sent to wrist instrument by second blue tooth interface, shows in the LCD display.
2. the elderly's intelligent monitoring device of high-precision step counting according to claim 1, it is characterised in that: the step counting sensing
Device is 3-axis acceleration sensor.
3. the elderly's intelligent monitoring device of high-precision step counting according to claim 1, it is characterised in that: the Mathematical morphology filter
The paces data that wave operation perceives step-counting sensor successively use the structural element of two kinds of different lengths to be filtered, packet
It includes:
The structural element of g1 is filtered by the mean operation of opening and closing and make and break operation, constitutes first order Morphologic filters, is used
To remove baseline drift, it may be assumed that
The structural element of g2 is filtered by the mean operation of opening and closing and make and break operation, constitutes second level Morphologic filters, is used
To remove noise, it may be assumed that
Wherein, f represents the paces data that step-counting sensor is perceived, and F1 indicates the letter after original signal first time opening and closing operation
Number, F2 indicates that the signal after second of opening and closing operation, g1 indicate that first order morphological structuring elements, g2 indicate second level morphology
Structural element indicates closed operation,Indicate opening operation.
4. the elderly's intelligent monitoring device of high-precision step counting according to claim 1, it is characterised in that: the median filtering
Operation is filtered using the paces data that the method for the sliding window of the default long size N3 of window perceives step-counting sensor, is gone
Except pulse signal and glitch noise, it may be assumed that
F3'=median { f3, N3 }, f3 ∈ F3
Wherein, median { f3, N3 } indicates that median filtering algorithm, f3 are the values in sliding window, which derives from and pass into
Signal F3, F3 be one of data F3', F3 ' after the paces data f or morphologic filtering operation that step-counting sensor is perceived
It is the signal after median filtering.
5. the elderly's intelligent monitoring device of high-precision step counting according to claim 1, it is characterised in that: the average filter
Operation using default moving window size N4 to after median filtering signal or the paces data that are perceived of step-counting sensor into
Row filtering carries out signal smooth；
Wherein, the signal after the smothing filtering that F4 is, m indicate to carry out average filter fortune since m-th of value of F3 ' signal
It calculates.
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| CN109297506A (en) * | 2018-08-09 | 2019-02-01 | 暨南大学 | A kind of smart motion measurement wearable device and measurement method |
| CN109712129A (en) * | 2018-12-25 | 2019-05-03 | 河北工业大学 | A kind of arc image processing method based on mathematical morphology |
| CN112906784A (en) * | 2021-02-07 | 2021-06-04 | 北京小米移动软件有限公司 | Step counting method and device, mobile terminal and storage medium |
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