CN105943015A - Wearable heart rate variability (HRV) monitoring device with active noise reduction function - Google Patents
Wearable heart rate variability (HRV) monitoring device with active noise reduction function Download PDFInfo
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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
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Abstract
The invention discloses a wearable heart rate variability (HRV) monitoring device with an active noise reduction function. The HRV monitoring device comprises a PPG sensor circuit, a multi-axis acceleration sensors, a signal processing module and a display module. A PPG sensor is adopted to detect human pulse wave signals, interference signals, generated due to human motion, in the pulse wave signals are removed through an adaptive filtering noise reduction method according to human motion signals collected by the acceleration sensors, and HRV time domain and frequency domain analysis is carried out on the basis. Thus, the cardiovascular disease condition, mind, emotion, fatigue, sleep and the like of a user can be monitored at any time and any place, and assessment prompts can be given.
Description
Technical field
The invention belongs to Wearable technical field, particularly to the Wearable heart of a kind of active noise reduction
Rate variability monitoring device.
Background technology
Along with rapid economic development, people obtain increasing satisfied, for life in material life
Bioplasm amount there has also been the requirement more increased, the physical and mental health of care all the more oneself, in daily life
The health status using Wearable monitoring self has become as a kind of trend.But on Vehicles Collected from Market
Wearable particularly to have the Wearable of cardiovascular disease diagnosis function also little, or
Still having a lot of limitation on using, people's urgent needs can be more convenient, accurately, supervise anywhere or anytime
Survey the body-worn medical health care facility of self health status.
Find change and the numerous disease such as cardiovascular disease of heart rate variability (HRV) clinically,
Or be that emotion, fatigue state etc. have inseparable relation.Use time domain and the side of frequency domain
Method carries out the analysis of heart rate variability, it is possible to achieve the early warning of cardiovascular disease and fatigue state, sleep
The detection of quality etc..The most typically obtain heart rate variability analysis result by ECG signal sampling,
But need people Qian Qu hospital.
The relevant apparatus of the most existing a lot of detection heart rate variability or systematic account, such as invent
Patent CN104161509B, CN100515327, CN100342820C and CN1263419C,
These patents above-mentioned are all taken through detecting electrocardiosignal and obtain heart rate variability analysis result, but use
Wearable in ECG signal sampling still suffers from the biggest limitation on user uses, it is difficult to supervise in real time
The heart rate variability of cls analysis user.Utilize photoplethysmographic tracing
(PhotoPlethysmoGraphy, PPG) carries out the collection of pulse wave and can to a certain degree solve
The problems referred to above, realize arteries and veins as patent of invention CN105105732A proposes to use based on PPG sensor
The system and method that heart rate detection of fighting and emotion and degree of fatigue are monitored, this PPG sensor uses single
Individual green light LED, as light source, does not solve PPG sensor in use easily by human motion
The problem of interference.Meanwhile, Shi Bo et al.[1]Utilize PPG sensor (by a green light LED and
Individual photodiode forms), a set of pulse frequency of Arduino uno development board and PC Computer Design
Variability Analysis system, Shi Ping[2]Utilization refers to press from both sides PPG sensor MTL1020FC ear clip PPG sensing
Device MTL1020EC and Powerlab/16sp instrument system obtain pulse wave signal, two PPG
Sensor all uses the near-infrared LED of 950nm as light source, Chen Yifeng[3]Utilize Nellcor
Oximeter PPG sensor is (by a red-light LED, a near infrared light LED and a light
Quick transistor forms) obtain human pulse ripple signal, and sent to PC host computer by single-chip microcomputer collection
Carrying out heart rate variability analysis, stone is of heap of stone et al.[4]Then utilize a red-light LED, a near infrared light
LED and light receiving unit devise a PPG sensor, and mono-by STM8L101F3P6
Sheet machine collection PPG sensor signal re-sends to PC computer and carries out heart rate variability analysis.Above-mentioned
These device volumes proposed in research are relatively big, be inconvenient to wear, it is impossible to monitor people for whenever and wherever possible
Body heart rate variability, and all do not take to reduce the design of human motion interference.Additionally, Ma Junling et al.[5]Utilize the PPG sensor measurement human heart rate of red-light LED and phototriode composition and breathe frequency
Rate, Jin Fan et al.[6]The PPG sensor using same design combines MSP430 single-chip microcomputer and Android hands
Machine devises a kind of Portable pulse ripple monitoring system, and these methods can reduce the volume of device, but
Owing to PPG sensor all have employed red-light LED or red-light LED and near infrared light LED's
Combination, is easily disturbed during measurement, and does not does the hardware designs reducing human motion interference equally.
Finally it is pointed out that existing relevant report, PPG sensor circuit designs compares mostly
Simply, also have many rooms for improvement.
In sum, urgent needs exploitation can long-time accurate measurements human heart rate variation in real time continuously
Property Wearable, simultaneously human motion can be overcome disturb, thus obtain reliable HRV and supervise
Survey result.
List of references:
[1] Shi Bo, Chen Fasheng, Chen Jianfang, etc. pulse frequency Variability Analysis is in wearable intelligent equipment
Application [J]. Chinese Journal of Medical Instrumentation, 2015 (2): 95-97.
[2] Shi Ping. systema cariovasculare functional evaluation study based on PPG and application [D]. Shanghai traffic
University, 2010.
[3] Chen Yifeng. mental pressure index measurement system development and analysis technique study [D] thereof. Wuhan
Polytechnics, 2014.
[4] stone is built, Sun Peng, Pang Yu, Luo Zhiyong, Wang Wei, Wang Yanxiang. based on photoplethysmographic
Heart Rate Variability Analysis System fore device design [J] of tracing. biomedical engineering is miscellaneous
Will, 2016,01:14-17.
[5] Ma Junling, Wang Cheng, Li Zhangjun, Zhao Hong. heart rate based on PPG and the survey of respiratory frequency
Quantity research [J]. optical technology, 2011,37 (3): 309-312.
[6] Jin Fan, Wang Cheng, Bai Lihong, Wen Miao, Li Zhangjun. pulse wave based on Android platform
Monitoring systematic research [J]. computer measurement and control, 2014,22 (4): 994-996.
Summary of the invention
It is an object of the invention to provide the Wearable heart rate variability monitoring device of a kind of active noise reduction, energy
Pulse signal enough detected and eliminate human motion therein interference, and using it for HRV and supervise in real time
Cls analysis, has filled up the blank of prior art.
To achieve these goals, technical solution of the present invention is as follows:
The Wearable heart rate variability monitoring device of a kind of active noise reduction, the monitoring of described heart rate variability sets
For including PPG sensor circuit, multi-shaft acceleration transducer, signal processing module and display module,
Wherein:
Described PPG sensor circuit, is used for gathering human pulse ripple signal；
Described multi-shaft acceleration transducer, is used for gathering human motion signal；
Shown signal processing module, is used for receiving described PPG sensor circuit and many axle accelerations passes
Sensor gather human pulse ripple signal and human motion signal, use adaptive-filtering noise-reduction method from
Human pulse ripple signal is removed human motion signal disturbing, and extracts the P of pulse wave signal after noise reduction
Crest value, obtains time interval PPT that adjacent P crest value is corresponding, then with time domain and frequency-domain analysis side
Method processes PPT sequence, obtains heart rate variability metrics and monitoring result；
Described display module, is used for showing heart rate variability metrics and the monitoring that signal processing module exports
Result.
Further, PPG sensor circuit of the present invention has following three kinds of implementations:
1, described PPG sensor circuit includes PPG sensor, current-voltage conversion circuit, electricity
Pressure signal filter circuit, voltage signal amplifying circuit and voltage reference circuit, wherein said PPG passes
Sensor is used for detecting human pulse ripple signal, and described current-voltage conversion circuit is for sensing PPG
Device output current signal is converted to voltage signal, and described voltage signal filter circuit is used for removing pulse wave
Baseline noise, Hz noise and high-frequency noise in signal, described voltage signal amplifying circuit is by computing
Amplifier and resistance composition, be used for amplifying pulse wave voltage signal, and described voltage reference circuit is used for adjusting
Joint pulse wave voltage signal size is with the requirement to input voltage signal of the matched signal processing module, described
Voltage signal filter circuit uses operational amplifier, resistance, electric capacity composition or simple by resistance, electric capacity
Constitute.
2, described PPG sensor circuit include pulse width modulation (PWM) circuit, PPG sensor,
Demodulator circuit, current-voltage conversion circuit and voltage signal filtering and amplifying circuit, wherein said PPG
Sensor is used for detecting human pulse ripple signal, and described pwm circuit is adjusted for output pulse signal
Pulse wave signal processed, described demodulator circuit is for being demodulated the pulse wave signal after modulation, described
Current-voltage conversion circuit pulse wave current signal after demodulating is converted to voltage signal, institute
State voltage signal filtering and amplifying circuit to be made up of operational amplifier and resistance, electric capacity, be used for amplifying pulse
Wave voltage signal filtering interference signals.
3, described PPG sensor circuit includes LED light source control circuit, PPG sensor, electricity
Stream-voltage conversion circuit, voltage signal filtering and amplifying circuit and voltage reference circuit, wherein said
PPG sensor is used for detecting human pulse ripple signal, and described LED light source control circuit is for PPG
Sensor is controlled, in order to reduces the power consumption of PPG sensor or improves PPG transducer sensitivity,
Described current-voltage conversion circuit is used for PPG current output sensor signal is converted to voltage signal,
Described voltage signal filtering and amplifying circuit is made up of operational amplifier and resistance, electric capacity, is used for amplifying arteries and veins
Fighting wave voltage signal filtering interference signals, described voltage reference circuit is used for regulating pulse wave voltage letter
Number size with the requirement to input voltage signal of the matched signal processing module.
Further, in above-mentioned three kinds of embodiments, described PPG sensor is by LED light source and light
Electric diode forms, and wherein LED light source is multiple green light LED or green light LED and infrared LED
Combination.
Further, in above-mentioned three kinds of embodiments, described signal processing module and PPG pass
Operational amplifier used in sensor circuit, can use the form of discrete component or be integrated in same
In individual SoC chip.
A kind of implementation of the present invention, described signal processing module be band A/D conversion MCU or
ARM chip, described heart rate variability monitoring device also includes wireless communication module, described channel radio
Letter module is for wirelessly entering the heart rate variability monitoring result that signal processing module exports
Row sends.The wireless signal sent can be mounted with intelligent terminal or the doctor of application A PP
Treating health center to receive, intelligent terminal or health care center can be according to heart rate variability monitoring results
The health status etc. of user is made assessment or other process.
Above-mentioned PPG sensor circuit, multi-shaft acceleration transducer, signal processing module, display mould
Block and wireless communication module can be encapsulated in human body wearable items, as a single Wearable
Heart rate variability monitoring device carries out heart rate variability monitoring to user.
In above-mentioned implementation, whole heart rate variability monitoring device is as a complete product pair
User carries out heart rate variability monitoring.
Preferably, the another kind of implementation of the present invention, described signal processing module is for being provided with application
The intelligent terminal of program APP, described display module is the display screen of intelligent terminal, and described heart rate becomes
Opposite sex monitoring device also includes that microprocessor and wireless communication module, described microprocessor are that band A/D turns
MCU or the ARM chip changed, for the human pulse ripple gathering described PPG sensor circuit
The human motion signal of signal and described multi-shaft acceleration transducer collection carries out A/D conversion, then passes through
Wireless communication module is sent to described intelligent terminal.
Under optimal way of the present invention, described PPG sensor circuit, multi-shaft acceleration transducer,
Microprocessor and wireless communication module are encapsulated in human body wearable items.Described microprocessor and
Operational amplifier used in PPG sensor circuit is integrated in same SoC chip.Intelligence
The human pulse ripple letter that terminal reception PPG sensor circuit and multi-shaft acceleration transducer gather respectively
Number and human motion signal, from human pulse ripple signal remove human motion signal disturbing, calculate point
Analysis obtains heart rate variability monitoring result.The optimal way of the present invention make use of the intelligent terminal of user,
Reduce the integrated cost of equipment.
Further, described PPT sequence is analyzed obtaining by signal processing module of the present invention
Heart rate variability metrics includes:
(1), time-domain analysis index: adjacent P crest value interval PPT, adjacent P crest value interval mark
Quasi-difference SDNN, adjacent P crest value interval mean square deviation rMSSD, the difference at adjacent P crest value interval
Number NN50 and NN50 more than 50ms account for the percent that adjacent P crest value interval is total
pNN50；
(2), frequency-domain analysis index: frequency exists in extremely low frequency power VLF, the frequency of 0.03-0.04Hz
The low frequency power LF of 0.04-0.15Hz, frequency are in high frequency power HF of 0.15-0.40Hz and low
Frequently power and the ratio LF/HF of high frequency power.
The Wearable heart rate variability monitoring device of a kind of active noise reduction that the present invention proposes, have employed
PPG sensor for human detection's pulse wave signal, and the human motion letter gathered according to acceleration transducer
Number, remove the interference signal produced because of human motion in pulse wave signal, finally carry out HRV analysis,
User's cardiovascular disease situation, spirit, emotion, fatigue and sleep etc. can be monitored whenever and wherever possible go forward side by side
Row early warning.
Accompanying drawing explanation
Fig. 1 is the structure composition schematic diagram of Wearable heart rate variability monitoring device of the present invention；
Fig. 2 a, 2b, 2c are PPG sensor electricity in Wearable heart rate variability monitoring device of the present invention
Three kinds of embodiments on road；
Fig. 3 is multi-shaft acceleration transducer circuit structure composition schematic diagram in the embodiment of the present invention；
Fig. 4 is in Wearable heart rate variability monitoring device of the present invention the one of adaptive-filtering noise-reduction method
Plant embodiment；
Fig. 5 is a kind of structure during Wearable heart rate variability monitoring device of the present invention employing SoC chip
Composition schematic diagram；
Fig. 6 is that Wearable heart rate variability of the present invention detection device signal processing module uses intelligent terminal
Time structure composition schematic diagram.
Detailed description of the invention
With embodiment, technical solution of the present invention is described in further details below in conjunction with the accompanying drawings, real below
Execute example and do not constitute limitation of the invention.
The time interval (PPT) corresponding about studying the adjacent P crest value showing in pulse signal waveform
The time interval (RRT) corresponding with the adjacent R crest value in electrocardiographic wave has substantially uniform property,
Therefore pulse wave signal can be used for HRV analyze.The overall thought of the present invention is through Wearable
Equipment gathers human pulse ripple signal, and uses adaptive-filtering according to multi-shaft acceleration transducer signal
Method removes in pulse wave signal the interference signal caused because of human motion, then carries out heart rate variability and divide
Analysis.
Embodiment one:
As it is shown in figure 1, the Wearable heart rate variability monitoring device of a kind of active noise reduction of the present embodiment,
Including PPG sensor circuit, multi-shaft acceleration transducer, signal processing module and display module.
The present embodiment PPG sensor circuit, multi-shaft acceleration transducer, signal processing module and display mould
Block is encapsulated in human body wearable items, such as in bracelet, finger ring and ear clip etc..
The present embodiment uses photoplethysmographic tracing (PhotoPlethysmoGraphy, PPG)
Carrying out the collection of pulse wave, PPG sensor circuit is for the most long-time detection wrist portion or hands
The human pulse ripple signal at the positions such as finger ends.
Specifically, three kinds of embodiments of PPG sensor circuit are as follows:
Embodiment 1, PPG sensor circuit as shown in Figure 2 a, specifically include PPG sensor, electricity
Stream-voltage conversion circuit, voltage signal filter circuit, voltage signal amplifying circuit, voltage reference electricity
Road.Wherein said PPG sensor is used for detecting human pulse ripple signal, and described current-voltage is changed
Circuit for being converted to voltage signal by PPG current output sensor signal, and described voltage signal is filtered
Wave circuit is for removing baseline noise, Hz noise and the high-frequency noise in pulse wave signal, described electricity
Pressure signal amplification circuit is made up of operational amplifier and resistance, is used for amplifying pulse wave voltage signal, institute
State voltage reference circuit for regulating pulse wave voltage signal size with matched signal processing module to defeated
Enter the requirement of voltage signal.Wherein, voltage signal filter circuit uses operational amplifier, resistance, electricity
Hold composition or be made up of resistance, electric capacity merely.
Embodiment 2, PPG sensor circuit designs scheme as shown in Figure 2 b, specifically include pulse width
Degree modulation (PWM) circuit, PPG sensor, demodulator circuit, current-voltage conversion circuit and voltage
Signal amplification circuit filter.Wherein said PPG sensor is used for detecting human pulse ripple signal, institute
Stating pwm circuit for output pulse signal to modulate pulse wave signal, described demodulator circuit is for right
Pulse wave signal after modulation is demodulated, and described current-voltage conversion circuit is for by after demodulation
Pulse wave current signal is converted to voltage signal, and described voltage signal filtering and amplifying circuit is used for amplifying arteries and veins
Fight wave voltage signal filtering interference signals, use operational amplifier, resistance, electric capacity composition, here
Interference signal refer to be different from other interference signals of human pulse ripple signal frequency, only make human body
Signal in pulse wave signal frequency range passes through.
Embodiment 3, PPG sensor circuit designs scheme as shown in Figure 2 c, specifically include LED light
Source control circuit, PPG sensor, current-voltage conversion circuit, voltage signal filtering and amplifying circuit
And voltage reference circuit.Wherein said PPG sensor is used for detecting human pulse ripple signal；Institute
State LED light source control circuit for LED light source in PPG sensor is controlled, especially by
The luminous intensity of the LED light source in regulation PPG sensor or glow frequency reduce PPG sensing
The power consumption of device, or improve PPG sensor by strengthening the brightness of LED light source in PPG sensor
Sensitivity, described current-voltage conversion circuit is for being converted to PPG current output sensor signal
Voltage signal, described voltage signal filtering and amplifying circuit is made up of operational amplifier and resistance, electric capacity,
For amplifying pulse wave voltage signal filtering interference signals, described voltage reference circuit is used for regulating arteries and veins
Fight the size of wave voltage signal with the requirement to input voltage signal of the matched signal processing module.
PPG sensor is made up of LED light source and photodiode, and wherein LED light source is multiple green
The combination of light LED or green light LED and infrared LED.LED light source and photodiode can collect
Become in same chip or be made up of discrete component.
In addition, it is contemplated that PPG sensor circuit is when detecting human pulse ripple signal, easily by human body
The impact of motion, rocking of such as arm.It is also devised with multiaxis the most in embodiments of the present invention to add
Velocity sensor, is used for detecting human motion signal, in order to pulse wave signal is carried out adaptive-filtering
Noise reduction.In certain embodiments, also can increase and multi-shaft acceleration transducer signal is filtered or puts
Big or the modulate circuit of filter and amplification.
The most in one embodiment, the logical filter of the band that acceleration transducer signals is nursed one's health is added
Wave circuit, as it is shown on figure 3, the logical frequency range of band is 0.1-5.0Hz.
The present embodiment signal processing module, is used for receiving PPG sensor circuit and many axle accelerations passes
Human pulse ripple signal that sensor gathers respectively and human motion signal, use adaptive-filtering noise reduction side
Method removes human motion signal disturbing from human pulse ripple signal, and extracts pulse wave signal after noise reduction
P crest value, obtain time interval PPT that adjacent P crest value is corresponding, then divide with time-domain and frequency-domain
Analysis method processes PPT sequence, obtains heart rate variability metrics and monitoring result.
Specifically, according to the signal of multi-shaft acceleration transducer output, defeated from PPG sensor circuit
The pulse wave signal gone out is removed human motion signal disturbing, can use based on lowest mean square value-based algorithm
Or least square method of recursion (RLS) or quick laterally filtering (FTF) or transform-domain algorithm etc. (LMS)
Adaptive-filtering noise-reduction method.
As shown in Figure 4, in the present invention, a kind of embodiment uses LMS adaptive-filtering noise-reduction method,
Its operation principle is as follows:
PPG sensor signal y (n) wherein inputted includes glitch-free pulse wave signal s (n) and human body
Motion disturbance signals n (n) two parts, it may be assumed that
Y (n)=s (n)+n (n) (1)
Wherein interference signal n (n) is estimated by acceleration signal a (n), and a (n) is by after FIR filter
Generation output signal (n):
(n)=w0 (n) a (n)+w1a (n-1)+...+wL-1a (n-L+1) (2)
Wherein w (n) is wave filter weight coefficient, and L is filter order；
Wherein, filter weight coefficient w (n) can be adjusted by alternative manner, and iterative formula is as follows:
W (n+1)=W (n)+μ e (n) a (n) (3)
Wherein μ is that weight coefficient updates step-length, and e (n) is error signal.E (n) can be according to pulse wave signal
Desired signal d (n) (d (n) is PPG sensor signal y (n) of input in the present embodiment) with
N () is obtained:
E (n)=d (n)-(n) (4)
The above-mentioned iterative algorithm condition of convergence is that the mean-square value of e (n) minimizes.
Therefore according to formula (2), (3), (4), can ask when the mean-square value of e (n) minimizes
Going out (n), estimation Y (n) trying to achieve s (n) further according to formula (1) is:
Y (n)=y (n)-(n) (5).
Further, from the pulse wave signal collected, remove the interference signal produced because of human motion
After, extract the P crest value of pulse wave signal after noise reduction, then obtain adjacent P crest value corresponding time
Between be spaced (PPT), above-mentioned calculated PPT sequence is carried out time-domain and frequency-domain analysis, obtains
Heart rate variability metrics:
(1), time-domain analysis index: adjacent P crest value interval PPT, adjacent P crest value interval mark
Quasi-difference SDNN, adjacent P crest value interval mean square deviation rMSSD, the difference at adjacent P crest value interval
Number NN50 and NN50 more than 50ms account for the percent that adjacent P crest value interval is total
pNN50；
(2), frequency-domain analysis index: frequency exists in extremely low frequency power VLF, the frequency of 0.03-0.04Hz
The low frequency power LF of 0.04-0.15Hz, frequency are in high frequency power HF of 0.15-0.40Hz and low
Frequently power and the ratio LF/HF of high frequency power.
HRV analysis result may be used for the prison of cardiovascular disease early warning, spirit, fatigue and sleep etc.
Survey and bio-identification etc..
Such as, the Wearable heart rate variability monitoring device of a kind of for the present embodiment active noise reduction is worn over hands
Wrist position, is continuously monitored human heart rate's variability:
In certain embodiments, journey (every 5 minutes) in short-term is used the data collected to be carried out point
Analysis, predominantly calculates the frequency-domain analysis index of HRV, result can be used for cardiovascular disease early warning,
Emotion and the analysis etc. of fatigue state.
In certain embodiments, long-time journey (every 24 hours) is used to carry out collecting data
Analyze, for calculating the SDNN in HRV time-domain analysis index, dead as acute myocardial infarction
Dangerous warning index: high-risk patient, SDNN is less than 50ms；Poor risk, SDNN is less than
100ms。
In certain embodiments, human fatigue or sleep can be monitored by Wearable of the present invention,
During being carried out continuously heart rate variability monitoring, find index LF/HF numerical value continuous decrease, and decline
To set LF/HF numerical value threshold value time, prompting human fatigue or enter sleepiness；Simultaneously also dependent on
HF and LF/HF change in value situation analysis user's sleep quality.
In certain embodiments, Wearable heart rate variability monitoring device of the present invention can be additionally used in analysis use
The stress situation at family, such as when user HF is less than normal range or the number of LF Yu LF/HF
When value is above normal range, then prompting user is currently at the state that psychentonia, pressure are excessive.
The present embodiment display module, for showing the heart rate variability monitoring knot that signal processing module obtains
Really.
In the present embodiment, signal processing module uses MCU or the ARM chip of band A/D, shows mould
Block can use the display screens such as OLED/VFD/LCD/TFT.
Further, used in above-mentioned PPG sensor circuit operational amplifier and above-mentioned letter
Number processing module can use the form of discrete component or be integrated in same SoC chip.Such as originally
When inventive embodiments one circuit composition uses SoC chip, a kind of structure composition is as it is shown in figure 5, wherein
Grey parts is SoC chip internal resource.Wherein PPG sensor circuit uses the reality of embodiment 1
Existing mode, SoC uses the PSoC5 chip that Cypress company produces, internal with A/D converter,
D/A converter, operational amplifier, microprocessor, multiplexer MUX etc..Wherein computing is put
Big device is used for constituting voltage signal amplifying circuit, and described input amplifier is respectively to be believed through overvoltage
Number pulse wave voltage signal that filter circuit noise reduction is crossed and the benchmark produced by voltage reference circuit
Voltage；Described A/D converter is for by the simulation pulse wave signal inputted by MUX and acceleration
Sensor signal is changed into digital signal, is input in microprocessor process, the micro-place of the present embodiment
Reason device mainly realizes the function of signal processing module.D/A converter is used for output reference voltage.
Further, the present embodiment is additionally provided with wireless communication module, for signal processing module is defeated
The heart rate variability metrics and the monitoring result that go out wirelessly are transmitted.This wireless communication module
Can be bluetooth, WIFI, NFC, GPRS or other communication mode.The wireless signal sent
Intelligent terminal or the health care center that can be mounted with application A PP receive, and intelligence is eventually
End or health care center can according to heart rate variability metrics and monitoring result the healthy shape to user
Condition makes assessment or other process.
The present embodiment signal processing module, wireless communication module can be modules independently, it is possible to
To be integrated in same chip, for example with MCU or ARM or the SOC core with radio function
Sheet substitutes the signal processing module in the present embodiment and wireless communication module.
Embodiment two:
As shown in Figure 6, the Wearable heart rate variability monitoring device of a kind of active noise reduction of the present embodiment,
Including PPG sensor circuit, multi-shaft acceleration transducer, microprocessor, wireless communication module and
Intelligent terminal.
Unlike embodiment one, the present embodiment use intelligent terminal replace in embodiment one
Signal processing module and display module.Intelligent terminal is smart mobile phone or panel computer, by being arranged on intelligence
Application A PP in energy terminal carries out computational analysis and display heart rate variability to the signal gathered
Property index and monitoring result.
Therefore the present embodiment also includes microprocessor and wireless communication module, for by PPG sensor
The human pulse ripple signal of circuit and multi-shaft acceleration transducer collection and human motion signal are carried out
A/D conversion is also wirelessly sent on the intelligent terminal of user, in order to entered by intelligent terminal
Row is analyzed, is shown and data storage.Now intelligent terminal carries out computational analysis obtain the data received
Signal processing mould to heart rate variability metrics and monitoring result, concrete processing method and embodiment one
Block is identical, repeats no more here.
Wireless communication module can be bluetooth, WIFI, NFC, GPRS or other communication mode.
Microprocessor is MCU or the ARM chip of band A/D conversion, to PPG sensor circuit and multiaxis
The signal of acceleration transducer collection carries out A/D conversion, then is sent to intelligence by wireless communication module
Terminal.
The present embodiment microprocessor, wireless communication module can be modules independently, it is also possible to collection
Become in same chip.Replace for example with MCU or ARM or the SoC chip with radio function
For the microprocessor in the present embodiment and wireless communication module.Similar with embodiment one, PPG sensor
Operational amplifier used in circuit and above-mentioned microprocessor can use discrete component form or
Person is integrated in same SoC chip.The present embodiment PPG sensor circuit, many axle accelerations pass
Sensor, microprocessor and wireless communication module are encapsulated in wearable items, such as in bracelet and finger ring.
Further, application program (APP) has equipment matching unit, data display unit, prison
Survey result feedback unit, GPS positioning unit and user data memory element.Described equipment coupling is single
Unit mates for carrying out radio communication with Wearable, receives the data from Wearable；Number
It is used for showing HRV time-domain and frequency-domain analysis indexes according to display unit；Monitoring result feedback unit is used for
According to above-mentioned every HRV analysis indexes user carried out cardiovascular disease early warning or spirit, emotion and
The prompting of fatigue state, sleep quality etc.；GPS positioning unit is used for Geographic mapping residing for user,
Quickly to grasp its position when user need to rescue；User data memory element is used for preserving user
Historical Monitoring result.
It is easily understood that PPG sensor circuit and multi-shaft acceleration transducer set in the present embodiment
Put on the human body Wearable article such as bracelet or finger ring, gather human pulse ripple signal and human motion is done
Disturb signal.Above-mentioned signal is sent on intelligent terminal carry out analyzing and processing display by wireless communication module,
So signal processing module and display module have directly utilized the processor of intelligent terminal in the present embodiment
And display screen, it is substantially reduced human body and wears departmental cost, utilize the existing equipments such as intelligent terminal to carry out
HRV analyzes, and directly shows analysis result on intelligent terminal's screen.
It is easily understood that the Wearable heart rate variability monitoring device of a kind of active noise reduction of the present embodiment,
Also include power module, for for other circuit above-mentioned and module for power supply, repeat no more here.
Above example is only limited in order to technical scheme to be described, is not carrying on the back
In the case of present invention spirit and essence thereof, those of ordinary skill in the art work as can be according to the present invention
Make various corresponding change and deformation, but these change accordingly and deformation all should belong to institute of the present invention
Attached scope of the claims.
Claims (10)
1. the Wearable heart rate variability monitoring device of an active noise reduction, it is characterised in that described
Heart rate variability monitoring device includes at PPG sensor circuit, multi-shaft acceleration transducer, signal
Reason module and display module, wherein:
Described PPG sensor circuit, is used for gathering human pulse ripple signal；
Described multi-shaft acceleration transducer, is used for gathering human motion signal；
Described signal processing module, is used for receiving described PPG sensor circuit and many axle accelerations passes
Human pulse ripple signal that sensor gathers respectively and human motion signal, use adaptive-filtering noise reduction side
Method removes human motion signal disturbing from human pulse ripple signal, and extracts pulse wave signal after noise reduction
P crest value, obtain time interval PPT that adjacent P crest value is corresponding, then divide with time-domain and frequency-domain
Analysis method processes PPT sequence, obtains heart rate variability metrics and monitoring result；
Described display module, is used for showing heart rate variability metrics and the monitoring that signal processing module exports
Result.
Wearable heart rate variability monitoring device the most according to claim 1, it is characterised in that
Described PPG sensor circuit includes that PPG sensor, current-voltage conversion circuit, voltage signal are filtered
Wave circuit, voltage signal amplifying circuit and voltage reference circuit, wherein said PPG sensor is used for
Detection human pulse ripple signal, described current-voltage conversion circuit is for by PPG sensor output electricity
Stream signal is converted to voltage signal, and described voltage signal filter circuit is for removing in pulse wave signal
Baseline noise, Hz noise and high-frequency noise, described voltage signal amplifying circuit by operational amplifier and
Resistance forms, and is used for amplifying pulse wave voltage signal, and described voltage reference circuit is used for regulating pulse wave
Voltage signal size is with the requirement to input voltage signal of the matched signal processing module, described voltage signal
Filter circuit uses operational amplifier, resistance, electric capacity composition or is made up of resistance, electric capacity merely.
Wearable heart rate variability monitoring device the most according to claim 1, it is characterised in that
Described PPG sensor circuit includes pulse width modulation (PWM) circuit, PPG sensor, demodulation
Circuit, current-voltage conversion circuit and voltage signal filtering and amplifying circuit, wherein said PPG senses
Device is used for detecting human pulse ripple signal, and described pwm circuit modulates arteries and veins for output pulse signal
Fight ripple signal, described demodulator circuit for the pulse wave signal after modulation is demodulated, described electric current
-voltage conversion circuit is for being converted to voltage signal, described electricity by the pulse wave current signal after demodulation
Pressure signal amplification circuit filter is made up of operational amplifier and resistance, electric capacity, is used for amplifying pulse wave electricity
Pressure signal filtering interference signals.
Wearable heart rate variability monitoring device the most according to claim 1, it is characterised in that
Described PPG sensor circuit includes that LED light source control circuit, PPG sensor, current-voltage turn
Changing circuit, voltage signal filtering and amplifying circuit and voltage reference circuit, wherein said PPG senses
Device is used for detecting human pulse ripple signal, and described LED light source control circuit is for PPG sensor
It is controlled, in order to reduce the power consumption of PPG sensor or improve PPG transducer sensitivity, described
Current-voltage conversion circuit is used for PPG current output sensor signal is converted to voltage signal, institute
State voltage signal filtering and amplifying circuit to be made up of operational amplifier and resistance, electric capacity, be used for amplifying pulse
Wave voltage signal filtering interference signals, described voltage reference circuit is used for regulating pulse wave voltage signal
Size is with the requirement to input voltage signal of the matched signal processing module.
5., according to the Wearable heart rate variability monitoring device described in Claims 2 or 3 or 4, it is special
Levying and be, described PPG sensor is made up of LED light source and photodiode, wherein LED light
Source is the combination of multiple green light LED or green light LED and infrared LED.
6. according to the Wearable heart rate variability monitoring device described in Claims 2 or 3 or 4, its
Being characterised by, computing used in described signal processing module and PPG sensor circuit is put
Big device, is integrated in same SOC.
7., according to the Wearable heart rate variability monitoring device described in claim 2,3 or 4, it is special
Levying and be, described signal processing module is MCU or the ARM chip of band A/D conversion, the described heart
Rate variability monitoring device also includes wireless communication module, for the heart rate exported by signal processing module
Variability monitoring result is wirelessly transmitted, and described PPG sensor circuit, multiaxis add
Velocity sensor, signal processing module, display module and wireless communication module are all encapsulated in human body and can wear
Wear in article.
8., according to the Wearable heart rate variability monitoring device described in claim 2,3 or 4, it is special
Levying and be, described signal processing module is the intelligent terminal being provided with application A PP, described aobvious
Show the display screen that module is intelligent terminal, described heart rate variability monitoring device also include microprocessor with
Wireless communication module, described microprocessor is MCU or the ARM chip of band A/D conversion, is used for
The human pulse ripple signal that described PPG sensor circuit is gathered and multi-shaft acceleration transducer collection
Human motion signal carry out A/D conversion, then be sent to described intelligent terminal by wireless communication module.
Heart rate variability monitoring device the most according to claim 8, it is characterised in that described
PPG sensor circuit, multi-shaft acceleration transducer, microprocessor and wireless communication module are encapsulated in people
In body wearable items, computing used in described microprocessor and PPG sensor circuit
Amplifier is integrated in same SoC chip.
Heart rate variability monitoring device the most according to claim 1, it is characterised in that described
The heart rate variability metrics that described PPT sequence is analyzed obtaining by signal processing module includes:
(1), time-domain analysis index: adjacent P crest value interval PPT, adjacent P crest value interval mark
Quasi-difference SDNN, adjacent P crest value interval mean square deviation rMSSD, the difference at adjacent P crest value interval
Number NN50 and NN50 more than 50ms account for the percent that adjacent P crest value interval is total
pNN50；
(2), frequency-domain analysis index: frequency exists in extremely low frequency power VLF, the frequency of 0.03-0.04Hz
The low frequency power LF of 0.04-0.15Hz, frequency are in high frequency power HF of 0.15-0.40Hz and low
Frequently power and the ratio LF/HF of high frequency power.
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