CN106419937A - Mental stress analysis system based on heart sound HRV theory - Google Patents

Mental stress analysis system based on heart sound HRV theory Download PDF

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Publication number
CN106419937A
CN106419937A CN201610817894.2A CN201610817894A CN106419937A CN 106419937 A CN106419937 A CN 106419937A CN 201610817894 A CN201610817894 A CN 201610817894A CN 106419937 A CN106419937 A CN 106419937A
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hrv
heart sound
frequency
analysis system
heart
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成谢锋
姚鹏飞
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Nanjing Post and Telecommunication University
Nanjing University of Posts and Telecommunications
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Nanjing Post and Telecommunication University
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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
    • A61B5/16—Devices for psychotechnics; Testing reaction times ; Devices for evaluating the psychological state
    • A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B7/00—Instruments for auscultation

Abstract

The invention discloses a mental stress analysis system based on the heart sound HRV theory. According to the mental stress analysis system, the heart rate variability is taken as the evaluation index of the stress level, based on the influences of the heart sound HRV analysis on the mental stress and the fatigue degree, the heart rate variability and the heart sound analysis are combined, and the mental stress analysis system capable of accurately measuring human mental stress is provided. For the system, a wireless heart sound collector is adopted, so that the long-time collection of heart sounds is realized, and the time for collecting the heart sounds needs to be maintained for 3-5 min; in order to rapidly and effectively extract the heart rate variability from heart sound signals, the adaptive algorithm for extracting HRV from the heart sounds is provided; through time-domain and frequency-domain analysis on HRV, 12 time-domain indexes and frequency-domain indexes are obtained, and the graphical representation is carried out on the 8 main characteristic indexes. Compared with the electrocardiographic mental stress analysis meter, the mental stress analysis system provided by the invention has the advantages that the use is convenient, the operation is simple, the functions are complete, especially, the cost is low, and the mental stress analysis system is suitable for being popularized and used in primary medical units, families, schools and individuals.

Description

Based on the stress analysis system that heart sound HRV is theoretical
Technical field
The invention belongs to the diagnostic field of mental disease is and in particular to a kind of stress theoretical based on heart sound HRV divides Analysis method.
Background technology
Modern society, more and more faster with work, rhythm of life, the psychological pressure that modern is faced is also increasing. Defend planning commission's statistical report according to country, end the end of the year in 2015, the number of middle national trouble mental illness exceedes cardiovascular disease, leaps to me The first place of state's Disease.
Psychological pressure is to cause the main cause of inferior health.Pressure is excessive, it is healthy excessively to damage.Psychological pressure is not Can discharge in time, will result in mental disease.Pressure is crossed conference and is led to lead under body inferior health, serious conditions directly send out Disease, pressure is our Health Killers maximum at one's side.
But the people more than 40% does not take any measure in investigation.Sociologist points out present people's pressure very Greatly, a lot of people do not know how to mediate.For this situation now, being badly in need of one kind being capable of visual inspection and analysis human body spirit State and the instrument of degree of fatigue, can detect to the stress of experimenter, allow users to the spiritual shape to patient State has one deeply and clearly to understand, and gives corresponding suggestion according to patient mental's state.
Content of the invention
The purpose of the present invention is to propose to a kind of be capable of setting of visual inspection and the analysis human body state of mind and degree of fatigue Standby, the stress of experimenter can be detected, allow users to the state of mind of patient is had one go deep into and clear and definite Understanding based on the theoretical stress analysis system of heart sound HRV.
For this reason, a kind of stress analysis system theoretical based on heart sound HRV of the present invention, system is by heart sound signal acquisition mould Block, wireless communication module and PC end system platform composition.
Heart sound signal acquisition module is connected with PC end system platform, spreads out of by the wall of the chest of user using electric-type sensor Heart sound fluctuation signal be directly delivered on inverting element by pressure cell, then mould is carried out to the cardiechema signals collecting Intend-numeral conversion, and transmit to PC end system platform, processed；
Wireless communication module is connected with PC end system platform, and wirelessly in heart sound acquisition module and PC end system Transmission data between platform；
PC end system platform is used for analyzing the data of heart sound acquisition module input, reduces cardiechema signals, is extracted using heart sound The adaptive algorithm of HRV obtains HRV, and HRV is processed using many algorithms, is analyzed in frequency domain and time domain simultaneously, Obtain the leading indicator of stress.
The above-mentioned adaptive algorithm using heart sound extraction HRV obtains HRV, specifically comprises the steps of
1. resampling is carried out to cardiechema signals, take a point every certain points, in the case of guarantee not aliasing, fall Low data volume, is conducive to follow-up process；
2. using Chebyshev I type low pass filter, filter low frequency component, cut-off frequency is set；
3. eliminated using high-pass filter and floated by the base that low pass filter brings, be arranged on cut-off frequency；
4. derivation operation is carried out to above-mentioned signal so that the amplitude of positive and negative semiaxis is almost equal；
5. signal is carried out square and adding window takes average operation, square be intended to the signal being negative by amplitude to be changed into amplitude being just Signal, adding window make even be intended to square after signal be smoothed, its transmission function is：
In formula, 32 is the points of adding window；
6. position S1 crest, cardiechema signals have 2 obvious peak values to be respectively S1 peak value and S2 peak value, due to S1 peak value width Du Genggao, using S1 peak as peak value to be detected, and the positioning drafting pattern by S1 peak value；
7. threshold value sets and judges, threshold value sets according to currently detected peak value attribute, using adaptive iteration method, when Before when peak value is detected and orientating peak (i) as, update T (i):
In formula, N is the peak value sum of positioning；
8. according to the final S1 peak value determining, determine cardiac cycle, be plotted as IBI (Inter-Beat Interval) literary composition Part, deposits tester's cardiac cycle sequence.
Further, above-mentioned steps 1. described in certain points be preferably 15.
Further, step 2. in cut-off frequency be 150Hz, step 3. in cut-off frequency be 630Hz.
For guaranteeing the effect gathering, the time of collection heart sound continues 3-5 minute.
The leading indicator of above-mentioned stress comprises time domain index and frequency-domain index, and time domain index includes cardiac cycle, always Body standard deviation, average heart rate, heart rate criteria difference and consecutive intervals standard deviation；Frequency-domain index includes gross energy TP, low frequency becomes Point LF, radio-frequency component HF and the ratio LF/HF of low frequency/high frequency ratio, low frequency power and high frequency power, high-frequency energy density value and Low frequency energy density value.
According to described time domain index and frequency-domain index, from autonomic stability, autonomic activity, Anti-pressure ability, pressure index, 5 aspects of fatigue exponent analyze the stress state of user, generate final analysis report.
Compared with prior art, the beneficial effects of the present invention is：
1. currently without the algorithm extracting HRV from cardiechema signals, the present invention proposes one kind and extracts from heart sound The adaptive algorithm of HRV, this algorithm computational accuracy is high, robustness is good, and practical effect reaches expected requirement.
2. the present invention is basically identical with the result of professional testing equipment, and cost only has one of percentage of same kind of products at abroad, Using simple, easy to operate, the multiple functional possibility possessing large-scale promotion.Compared to electrocardio stress analyzer, originally Invent easy to use, simple to operate, multiple functional, particularly low cost, be suitable in different medical unit, family, school and individual Promote the use of in people.
Brief description
Fig. 1 is system block diagram.
Fig. 2 extracts the adaptive algorithm flow chart of HRV for heart sound.
Fig. 3 is the cardiechema signals after differential.
Fig. 4 is square and adding window be averaged after cardiechema signals.
Fig. 5 positions for S1 peak value.
Fig. 6 is the S1 peak value positioning after taking threshold value.
Fig. 7 is HRV energy frequency spectrum figure.
Specific embodiment
In conjunction with accompanying drawing, the specific embodiment of the present invention is done and illustrate in detail further.
A kind of stress analysis system theoretical based on heart sound HRV proposed by the present invention is mainly by heart sound signal acquisition mould Block, wireless communication module and PC end system platform composition.System block diagram is as shown in Figure 1
Heart sound signal acquisition module, is used a shoulder and wears formula wireless heart sound collector, be connected with pc end system platform. Using electric-type sensor, the wall of the chest is spread out of the heart sound fluctuation signal coming directly to be delivered on inverting element by pressure cell, then The cardiechema signals collecting are simulated with-numeral conversion, and transmit to PC end system platform, processed.Signals collecting Time is 3 minutes.
Wireless communication module is connected with PC end, and wirelessly between heart sound acquisition module and PC end system platform Transmission data.
PC end system platform, is connected with wireless communication module, for analyzing the data of heart sound acquisition module input, reduces the heart Message number, and extract HRV from cardiechema signals, and HRV is processed using many algorithms, carry out in frequency domain and time domain simultaneously Analysis, obtains 11 leading indicators and is patterned expression to wherein 8 principal character indexs, from autonomic stable Property, this 5 aspects of autonomic activity, anti-pressure ability, pressure index, fatigue exponent analyze the stress shape of users State, obtains final analysis report.
As follows based on the theoretical stress analysis method of heart sound HRV：
(1) data of parsing heart sound collector transmission, restores cardiechema signals, signal is filtered and amplifies, obtain Cardiechema signals.
(2) obtain HRV using the adaptive algorithm that heart sound extracts HRV, algorithm flow chart such as accompanying drawing 2 as shown in Figure 2, is calculated Method comprises the steps of
1. resampling is carried out to cardiechema signals, take a point every 15 points, in the case of guarantee not aliasing, reduce Data volume, is conducive to follow-up process；
2. using Chebyshev I type low pass filter, filter low frequency component, cut-off frequency is arranged on 150Hz
3. eliminated using high-pass filter and floated by the base that low pass filter brings, cut-off frequency is arranged on 630Hz
4. derivation operation is carried out to signal so that the amplitude of positive and negative semiaxis is almost equal, the letter after the heart sound process obtaining Number as shown in Figure 3.
5. signal is carried out square and adding window takes average operation.Square be intended to the signal being negative by amplitude to be changed into amplitude is just Signal.Adding window make even be intended to square after signal be smoothed, the cardiechema signals after process as Fig. 4 so, Its transmission function is：
In formula, 32 is the points of adding window；
6. position S1 crest.Cardiechema signals have 2 obvious peak values to be respectively S1 peak value and S2 peak value.Due to S1 peak value width Du Genggao, here using S1 peak as peak value to be detected.And the positioning of S1 peak value is depicted as shown in Figure 5.
7. threshold value sets and judges.Threshold value sets and adopts adaptive iteration method, according to currently detected peak value attribute.When Before when peak value is detected and orientating peak (i) as, update T (i):
In formula, N is the peak value sum of positioning, and the peak value after renewal orientates red line above section in accompanying drawing 6 as；
8. according to the final S1 peak value determining, determine cardiac cycle, be plotted as IBI file, deposit is that tester is aroused in interest Periodic sequence.
(3) frequency domain and time-domain analysis are carried out to HRV, obtain time domain index and frequency-domain index.
1. analyze the variation tendency of HRV by statistical method, obtain time domain index, can be recapitulative The assessment regulating and controlling effect to heart rate for the autonomic nerves system.Time domain index includes cardiac cycle, standard deviation in population SDNN, the average heart Rate, heart rate criteria difference and consecutive intervals standard deviation RMSSD.
Average heart cycle computing formula is
Standard deviation S DNN computing formula is
Average heart rate computing formula is HR=60*1000/meanSS
Heart rate criteria difference computing formula be
Consecutive intervals standard deviation RMSSD computing formula is
Wherein, N is total heart beats；SSiFor i-th S1 peak intervals；MeanSS is the mean value of N number of S1 peak intervals
2. frequency domain analysis is theoretical using a kind of classical power Spectral Estimation -- Welch period map method, obtain frequency domain and refer to Mark.Ratio including gross energy TP, low-frequency component LF, radio-frequency component HF and ultralow frequency composition VLF, low frequency power and high frequency power LF/HF, high-frequency energy density value HF (n.u.) and low frequency energy density value LF (n.u.).
The Modern spectral estimation of autoregression AR model, the Energy distribution feelings of quantitative description HRV are carried out to the SS interval series of HRV Condition.AR power spectral density plot is obtained by Welch algorithm, as shown in Figure 7.
General power TP：The summation referring to each power component all frequency ranges Nei is autonomic overall activity shape State, represents the regulating power to body for the autonomic nerve.Its calculation expression is：
High frequency power HF：The vagal activity of major embodiment, related to respiratory movement, typically exhale in slow respiration or depth There is the phenomenon of excessive rising during suction.Its calculation expression is：
Low frequency power LF：Autonomic efferent nerve, by sympathetic nerve and vagal double influence, mainly Embody orthosympathetic activity.Its calculation expression is：
Ultralow frequency power VLF：Main representative sympathetic tone, closely related with thermoregulatory system, with vasomotion, The related cardio-pulmonary function of hormone is also relevant.Its calculation expression is：
The ratio LF/HF of low frequency power and high frequency power：Reflection autonomic nerves system sympathetic nerve and vagal complexity Degree
High-frequency energy density value HF (n.u.)：Represent autonomic stomodaeal nervous system, its calculation expression is LF (n.u.)=LF/ (LF+HF) × 100%
Low frequency energy density value HF (n.u.)：Represent autonomic parasympathetic, its calculation expression For HF (n.u.)=HF/ (LF+HF) × 100%
(4) analyze the stress state of tester.Including following 5 indexs：Autonomic stability, autonomous The activity of nervous system, anti-pressure ability, pressure index, fatigue exponent.
Autonomic stability is determined by sympathetic nerve and parasympathetic ratio, sympathetic and parasympathetic ratio When unbalance, autonomic balance temporary breaks, can bring a series of psychic problems.
Autonomic activity is determined by low frequency energy LF and high-frequency energy HF, refers to that the current body of tester is adjusted The height of ability.
Anti-pressure ability refers to that can body adapt to environmental change or the stimulation of various pressure, maintains its homeostatic energy Power.The meaning that HRV reduces is that the complexity of heart rate dynamic role variation reduces, and illustrates that body subtracts to the adaptability of environmental change Few, that is, the minimizing of body anti-pressure ability.
Pressure index is determined by the deviation of cardiac cycle and heart rate, refers to the stress state residing for current tester.
Fatigue exponent determines, autonomic nervous activity is low by autonomic activity, bears that pressure is heavier, and fatigue refers to Number higher, and lead on body, spiritual fatigue.
(5) the tester's stress state being drawn according to analysis, draws final analysis report.And possess printing work( Can, analysis report can be printed by tester.Pressure Analysis report and tester's information and comprise tester's week aroused in interest The IBI file of phase sequence all can be saved in database, conveniently checks at any time.

Claims (8)

1. a kind of stress analysis system theoretical based on heart sound HRV it is characterised in that：Described system is by heart sound signal acquisition Module, wireless communication module and PC end system platform composition；
Heart sound signal acquisition module is connected with PC end system platform, using electric-type sensor, the wall of the chest of user is spread out of the heart coming Sound fluctuation signal is directly delivered on inverting element by pressure cell, and then the cardiechema signals collecting are simulated with-number Word is changed, and transmits to PC end system platform, is processed；
Wireless communication module is connected with PC end system platform, and wirelessly in heart sound acquisition module and PC end system platform Between transmission data；
PC end system platform is used for analyzing the data of heart sound acquisition module input, reduces cardiechema signals, extracts HRV's using heart sound Adaptive algorithm obtains HRV, and HRV is processed using many algorithms, is analyzed in frequency domain and time domain simultaneously, obtains essence The leading indicator of refreshing pressure.
2. a kind of stress analysis system theoretical based on heart sound HRV according to claim 1 is it is characterised in that institute State the adaptive algorithm using heart sound extracts HRV and obtain HRV, comprise the steps of：
1. resampling is carried out to cardiechema signals, take a point every certain points, in the case of guarantee not aliasing, reduce Data volume, is conducive to follow-up process；
2. using Chebyshev I type low pass filter, filter low frequency component, cut-off frequency is set；
3. eliminated using high-pass filter and floated by the base that low pass filter brings, be arranged on cut-off frequency；
4. derivation operation is carried out to above-mentioned signal so that the amplitude of positive and negative semiaxis is almost equal；
5. signal is carried out square and adding window takes average operation, square be intended to the signal being negative by amplitude to be changed into amplitude being positive letter Number, adding window make even be intended to square after signal be smoothed, its transmission function is：
H w i n d o w ( Z ) = 1 32 · 1 - z - 32 1 - z - 1
In formula, 32 is the points of adding window；
6. position S1 crest, cardiechema signals have 2 obvious peak values to be respectively S1 peak value and S2 peak value, due to S1 peak amplitude more Height, using S1 peak as peak value to be detected, and the positioning drafting pattern by S1 peak value；
7. threshold value sets and judges, threshold value sets according to currently detected peak value attribute, using adaptive iteration method, current inspection When measuring peak value and orientating peak (i) as, update T (i):
T ( i ) = Σ i = 1 N p e a k ( i ) N
In formula, N is the peak value sum of positioning；
8. according to the final S1 peak value determining, determine cardiac cycle, be plotted as IBI file, deposit tester's cardiac cycle sequence.
3. a kind of stress analysis system theoretical based on heart sound HRV according to claim 2 it is characterised in that：Step Rapid 1. described in certain points be 15.
4. a kind of stress analysis system theoretical based on heart sound HRV according to claim 2 it is characterised in that：Step Rapid 2. in cut-off frequency be 150Hz.
5. a kind of stress analysis system theoretical based on heart sound HRV according to claim 2 it is characterised in that：Step Rapid 3. in cut-off frequency be 630Hz.
6. a kind of stress analysis system theoretical based on heart sound HRV according to claim 1 it is characterised in that：Adopt The time of collection heart sound continues 3-5 minute.
7. a kind of stress analysis system theoretical based on heart sound HRV according to claim 1 it is characterised in that：Institute The leading indicator stating stress comprises time domain index and frequency-domain index, and time domain index includes cardiac cycle, standard deviation in population, Average heart rate, heart rate criteria difference and consecutive intervals standard deviation；Frequency-domain index includes gross energy TP, low-frequency component LF, high frequency one-tenth Divide the ratio LF/HF of HF and low frequency/high frequency ratio, low frequency power and high frequency power, high-frequency energy density value and low frequency energy close Angle value.
8. a kind of stress analysis system theoretical based on heart sound HRV according to claim 7 it is characterised in that：Root According to described time domain index and frequency-domain index, from autonomic stability, autonomic activity, anti-pressure ability, Pressure index, 5 aspects of fatigue exponent analyze the stress state of user, generate final analysis report.
CN201610817894.2A 2016-09-12 2016-09-12 Mental stress analysis system based on heart sound HRV theory Pending CN106419937A (en)

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CN109009059A (en) * 2018-09-11 2018-12-18 江苏鹿得医疗电子股份有限公司 Rate calculation method based on heart sound
CN109330579A (en) * 2018-10-10 2019-02-15 中国医学科学院生物医学工程研究所 A kind of analysis method of the heart rate variability based on linear amplitude spectrum
CN109528214A (en) * 2018-11-07 2019-03-29 深圳市新元素医疗技术开发有限公司 A kind of Multifunctional wrist BOLD contrast
CN110141205A (en) * 2019-05-27 2019-08-20 深圳市是源医学科技有限公司 Resistance to compression data, the test method of fatigue data and device based on HRV technology
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CN116636846A (en) * 2023-05-29 2023-08-25 秦皇岛市惠斯安普医学系统股份有限公司 Mental stress monitoring and intervention management system

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CN108492871A (en) * 2018-02-06 2018-09-04 广东思派康电子科技有限公司 A kind of computer readable storage medium and the heart rate analysis instrument using the medium
CN109009059B (en) * 2018-09-11 2021-03-30 江苏鹿得医疗电子股份有限公司 Heart rate calculation method based on heart sounds
CN109009059A (en) * 2018-09-11 2018-12-18 江苏鹿得医疗电子股份有限公司 Rate calculation method based on heart sound
WO2020051958A1 (en) * 2018-09-11 2020-03-19 江苏鹿得医疗电子股份有限公司 Method for calculating heart rate on basis of heart sounds
CN109330579A (en) * 2018-10-10 2019-02-15 中国医学科学院生物医学工程研究所 A kind of analysis method of the heart rate variability based on linear amplitude spectrum
CN109528214A (en) * 2018-11-07 2019-03-29 深圳市新元素医疗技术开发有限公司 A kind of Multifunctional wrist BOLD contrast
CN110141205A (en) * 2019-05-27 2019-08-20 深圳市是源医学科技有限公司 Resistance to compression data, the test method of fatigue data and device based on HRV technology
CN110141205B (en) * 2019-05-27 2022-03-11 深圳市是源医学科技有限公司 HRV technology-based compression data and fatigue data testing method and device
CN111166293A (en) * 2020-01-23 2020-05-19 北京津发科技股份有限公司 Analysis device for factors influencing emotional changes
CN111920429A (en) * 2020-09-11 2020-11-13 深圳市爱都科技有限公司 Mental stress detection method and device and electronic equipment
CN112890818A (en) * 2021-01-21 2021-06-04 西安中盛凯新技术发展有限责任公司 Psychological and autonomic nerve bidirectional assessment system
CN116636846A (en) * 2023-05-29 2023-08-25 秦皇岛市惠斯安普医学系统股份有限公司 Mental stress monitoring and intervention management system
CN116636846B (en) * 2023-05-29 2023-12-15 秦皇岛市惠斯安普医学系统股份有限公司 Mental stress monitoring and intervention management system

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Application publication date: 20170222