CN106137226A - A kind of stress appraisal procedure based on heart source property breath signal - Google Patents

A kind of stress appraisal procedure based on heart source property breath signal Download PDF

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CN106137226A
CN106137226A CN201610616238.6A CN201610616238A CN106137226A CN 106137226 A CN106137226 A CN 106137226A CN 201610616238 A CN201610616238 A CN 201610616238A CN 106137226 A CN106137226 A CN 106137226A
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stress
heart rate
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杨荣骞
陈秀文
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South China University of Technology SCUT
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Abstract

The invention discloses a kind of stress appraisal procedure based on heart source property breath signal, comprise the following steps: 1, gather electrocardiosignal, calculate QRS wave area extraction heart source property breath signal in ecg wave form, heart source property breath signal is carried out Fourier transform and obtains breathing fundamental frequency；2, extract ecg-r wave crest and obtain phase signal between RR, calculate instantaneous heart rate signal according to phase signal between RR, instantaneous heart rate signal is carried out Fourier transform and obtains instantaneous heart rate power spectrum；What 3, integrating step 1 was tried to achieve breathes the heart rate power spectrum that fundamental frequency is tried to achieve with step 2, the Neurological features parameter i.e. LFP of low-frequency band power, high frequency band power i.e. HFP and LFP/HFP is calculated based on floating frequency range method, Neurological features parameter and stress value are carried out multiple linear regression analysis, export stress assessment models based on Neurological features parameter, calculate stress value.There is the advantage such as feasibility and Clinical practicability.

Description

A kind of stress appraisal procedure based on heart source property breath signal
Technical field
The present invention relates to a kind of stress assessment technology, particularly to a kind of spirit pressure based on heart source property breath signal Force estimation method.
Background technology
Stress is set to " disaster of the Western countries " by World Health Organization (WHO), according to the saying of international labors office, It becomes " one of problem that we the most serious in epoch, not only harm individual body & mind is healthy, and to business and government Also it is harmful to ".The development of modern society is along with the life of invisible pressure left and right people.In operating pressure, family's pressure, study Under the effect jointly such as pressure, the emotion of people is difficult to lead off.The pressure of accumulation may cause the other diseases of health, affects people The balance of body function.
Nowadays the appraisal procedure to stress mainly takes psychological test to obtain pressure index, and this assessment mode is subject to Many-sided impact, such as factors such as the mental status of patient, abilities to express.In recent years, heart rate variability is in autonomic nerve assessment side Face has to be studied widely, the main index using the time domain of heart rate variability, frequency domain parameter to balance as assessment nervous system, from And apply the diagnosis at aspects such as depression mental sickness.But, heart rate variability signals is unstable signal, by respiratory frequency The parameters such as impact, particularly heart rate average, radio-frequency component are affected relatively big by respiratory frequency, are used for assessing neurostatus needs Testee maintains stable consistent respiratory frequency, and otherwise test result exists bigger error.
The problem existed for direct analysis heart rate variability assessment nervous system balance aspect, heart source property is exhaled by the present invention Inhale signal to be analyzed obtaining breathing fundamental frequency, divide high frequency band and low-frequency band neatly based on the floating frequency range method breathing fundamental frequency. Utilize high-low frequency band power effectively to reflect nervous system activity, thus assess stress.This appraisal procedure has research Basis, feasibility and Clinical practicability.
Summary of the invention
The primary and foremost purpose of the present invention is to overcome the shortcoming and defect of existing stress assessment technology, it is provided that a kind of based on The stress appraisal procedure of heart source property breath signal, the method can objective quantification ground assessment stress state.
The purpose of the present invention is achieved through the following technical solutions: a kind of stress based on heart source property breath signal is assessed Method, comprises the following steps:
Step 1: gather electrocardiosignal, calculates QRS wave area extraction heart source property breath signal in ecg wave form, to heart source property Breath signal carries out Fourier transform and obtains breathing fundamental frequency；
Step 2: extract ecg-r wave crest and obtain phase signal between RR, calculates instantaneous heart rate signal according to phase signal between RR, right Instantaneous heart rate signal carries out Fourier transform and obtains instantaneous heart rate power spectrum；
Step 3: combine and breathe fundamental frequency and instantaneous heart rate power spectrum, calculates Neurological features parameter based on floating frequency range method Low-frequency band power (LFP), high-frequency region (HFP) and LFP/HFP, carry out polynary to Neurological features parameter with stress value Linear regression analysis, exports stress assessment models based on Neurological features parameter, calculates stress value.
Described step 1 comprises the following steps:
Ten minutes electrocardiogram (ECG) datas under seat state are loosened in step 11, collection；
Step 12, electrocardiosignal is carried out baseline drift elimination after, calculate the integral area in the left and right 50ms of R ripple position and make For QRS wave area, extract QRS wave area of signal and obtain heart source property breath signal EDR (i)；
Step 13, heart source property breath signal EDR (i) is carried out interpolation and resampling process, the heart source property after processing is exhaled Inhale signal and carry out Fourier transform calculating heart source property breath signal power spectrum.According to the power spectrum of heart source property breath signal, extract Frequency corresponding to power maximum is as breathing fundamental frequency.
As preferably, described step 2 comprises the following steps:
Step 21, extraction ecg-r wave crest obtain phase signal between RR, calculate instantaneous heart rate signal according to phase signal between RR, Phase between described instantaneous heart rate=60/RR；
Step 22, instantaneous heart rate signal is carried out cubic spline interpolation and the resampling of 4Hz, then to the heart instantaneous after interpolation Rate carries out Baseline Survey；
Step 23, to process after instantaneous heart rate signal Fourier transform, calculate instantaneous heart rate power spectrum.
As preferably, described step 3 comprises the following steps:
What step 31, integrating step 1 were tried to achieve breathes the instantaneous heart rate power spectrum that fundamental frequency is tried to achieve with step 2, based on the frequency that floats Section method calculates Neurological features parameter low-frequency band power (LFP), high frequency band power (HFP) and LFP/HFP.Described nervous system Characteristic parameter LFP be instantaneous heart rate power spectrum medium frequency be the power of 0.04Hz-0.1Hz, LFP reflects sympathetic nerve activity； Described Neurological features parameter HFP is the frequency band model in instantaneous heart rate power spectrum according to breathe fundamental frequency 0.65 times to 1.35 times The power enclosed, HFP reflects vagus nerve activity；Described Neurological features parameter LFP/HFP is parameter LFP and parameter HFP Ratio, reflection sympathetic nerve and vagal balance；
Step 32, utilize 214 different stress degree testee Neurological features parameter with psychology cure The raw stress value measured that gets involved carries out multiple linear regression analysis, exports stress based on Neurological features parameter Assessment models, the computing formula of described stress assessment models is as follows:
Wherein coefficient a, b, c, d, e build by Neurological features parameter and stress value are carried out multiple linear regression Mode division analysis is tried to achieve.
Step 33, according to calculate gained Neurological features parameter, be input in stress assessment models, output work as Front stress value, thus realize stress appraisal procedure based on heart source property breath signal.
The present invention, by gathering electrocardiosignal, calculates QRS wave area extraction heart source property breath signal in ecg wave form, to the heart Property breath signal in source carries out Fourier transform and obtains breathing fundamental frequency.Extract ecg-r wave crest and obtain phase signal between RR, according between RR Phase signal calculates instantaneous heart rate signal, instantaneous heart rate signal carries out Fourier transform and obtains instantaneous heart rate power spectrum.In conjunction with exhaling Inhale fundamental frequency and heart rate power spectrum, calculate Neuronal Characteristics parameter based on floating frequency range method, to Neurological features parameter and spirit pressure Force value carries out multiple linear regression analysis, exports stress assessment models based on Neurological features parameter, calculates spirit Force value.The present invention divides high frequency band and low-frequency band, effectively reflection nervous system activity neatly based on breathing fundamental frequency, from And assess stress, feasibility and Clinical practicability are strong.
The present invention has such advantages as relative to prior art and effect:
1, the effect of Neurological features parameter evaluation stress according to objective quantitative is achieved, it is to avoid to spirit pressure The subjectivity of power scale evaluation.
2, in electrocardiosignal, extract heart source property breath signal, divide instantaneous heart rate power spectrum neatly based on breathing fundamental frequency In low-and high-frequency power bracket, it is to avoid stress assessment result is affected by respiratory frequency, reduces in stress evaluation process Experienced interference, makes assessment result more accurately effectively.
3, in carrying out stress assessment, only need to gather the electrocardiogram (ECG) data loosening seat of ten minutes, test process and Test content is simple to operation, has good Clinical practicability.
Accompanying drawing explanation
Fig. 1 is stress appraisal procedure schematic diagram based on heart source property breath signal.
Fig. 2 is to extract based on heart source property breath signal power spectrum to breathe fundamental frequency schematic diagram.
Fig. 3 is heart rate power spectrum figure schematic diagram.
Fig. 4 breathes fundamental frequency and heart rate power spectrum calculating Neurological features parameter schematic diagram for combining.
Detailed description of the invention
Below in conjunction with embodiment and accompanying drawing, the present invention is described in further detail, but embodiments of the present invention do not limit In this.
Embodiment
As it is shown in figure 1, a kind of stress appraisal procedure based on heart source property breath signal includes: gather electrocardiosignal, Calculate QRS wave area extraction heart source property breath signal in ecg wave form, heart source property breath signal is carried out Fourier transform acquisition Breathe fundamental frequency；Extract ecg-r wave crest and obtain phase signal between RR, calculate instantaneous heart rate signal according to phase signal between RR, to instantaneous Heart rate signal carries out Fourier transform and obtains instantaneous heart rate power spectrum；In conjunction with breathing fundamental frequency and instantaneous heart rate power spectrum, based on floating Dynamic frequency range method calculates Neurological features parameter low-frequency band power (LFP), high-frequency region (HFP) and LFP/HFP, to nervous system Characteristic parameter and stress value carry out multiple linear regression analysis, export stress based on Neurological features parameter and comment Estimate model, calculate stress value.
It is as follows that stress appraisal procedure based on heart source property breath signal is embodied as step:
Step 1: gather and loosen ten minutes electrocardiogram (ECG) datas under seat state.Electrocardiosignal is carried out baseline drift elimination After, the integral area calculated in the left and right 50ms of R ripple position obtains heart source property exhale as QRS wave area, extraction QRS wave area of signal Inhale signal EDR (i).Heart source property breath signal EDR (i) is carried out interpolation and resampling processes, the heart source property after processing is breathed Signal carries out Fourier transform and calculates heart source property breath signal power spectrum.According to the power spectrum of heart source property breath signal, extract merit Frequency corresponding to rate maximum, as breathing fundamental frequency, breathes the extraction of fundamental frequency as shown in Figure 2.
Step 2: extract ecg-r wave crest and obtain phase signal between RR, calculate instantaneous heart rate signal, institute according to phase signal between RR State the phase between instantaneous heart rate=60/RR.Instantaneous heart rate signal is carried out cubic spline interpolation and the resampling of 4Hz, then to interpolation Rear instantaneous heart rate carries out Baseline Survey；To the instantaneous heart rate signal Fourier transform after processing, calculate instantaneous heart rate power spectrum, Heart rate power spectrum is as shown in Figure 3.
Step 3: as shown in Figure 4, what integrating step 1 was tried to achieve breathes the heart rate power spectrum that fundamental frequency is tried to achieve with step 2, based on floating Dynamic frequency range method calculates Neurological features parameter low-frequency band power (LFP), high frequency band power (HFP) and LFP/HFP.Described nerve System characteristic parameters LFP be instantaneous heart rate power spectrum medium frequency be the power of 0.04Hz-0.1Hz, LFP reflection sympathetic nerve enliven Property；Described Neurological features parameter HFP is the frequency in instantaneous heart rate power spectrum according to breathe fundamental frequency 0.65 times to 1.35 times With the power of scope, HFP reflects vagus nerve activity；Described Neurological features parameter LFP/HFP is parameter LFP and parameter The ratio of HFP, reflection sympathetic nerve and vagal balance.Utilize the god of the testee of 214 different stress degree Carrying out multiple linear regression analysis through system characteristic parameters with the stress value getting involved measurement at shrink, output is based on god Through the stress assessment models of system characteristic parameters, the computing formula of described stress assessment models is as follows:
S t r e s s = a * L F P + b * H F P + c * L F P H F P + d * L F P * H F P + e ,
Wherein coefficient a, b, c, d, e build by Neurological features parameter and stress value are carried out multiple linear regression Mode division analysis is tried to achieve.According to the Neurological features parameter of calculating gained, it is input in stress assessment models, the current essence of output God's force value, thus realize stress appraisal procedure based on heart source property breath signal.
Above-described embodiment is the present invention preferably embodiment, but embodiments of the present invention are not by above-described embodiment Limit, the change made under other any spirit without departing from the present invention and principle, modify, substitute, combine, simplify, All should be the substitute mode of equivalence, within being included in protection scope of the present invention.

Claims (3)

1. a stress appraisal procedure based on heart source property breath signal, it is characterised in that comprise the following steps:
Step 1: gather electrocardiosignal, calculates QRS wave area extraction heart source property breath signal in ecg wave form, breathes heart source property Signal carries out Fourier transform and obtains breathing fundamental frequency；
Step 2: extract ecg-r wave crest and obtain phase signal between RR, calculate instantaneous heart rate signal according to phase signal between RR, to instantaneous Heart rate signal carries out Fourier transform and obtains instantaneous heart rate power spectrum；
Step 3: what integrating step 1 was tried to achieve breathes the heart rate power spectrum that fundamental frequency is tried to achieve with step 2, calculates god based on floating frequency range method Through the system characteristic parameters i.e. LFP of low-frequency band power, high frequency band power i.e. HFP and LFP/HFP, to Neurological features parameter and essence God's force value carries out multiple linear regression analysis, exports stress assessment models based on Neurological features parameter, calculates Stress value.
Stress appraisal procedure based on heart source property breath signal the most according to claim 1, it is characterised in that in step In rapid 3, the computing formula of described stress assessment models is as follows:
S t r e s s = a * L F P + b * H F P + c * L F P H F P + d * L F P * H F P + e
Coefficient a, b, c is tried to achieve by Neurological features parameter and stress value are carried out multiple linear regression modeling analysis, d,e；Described a is the linear coefficient of LFP, and described b is the linear coefficient of HFP, and described c is the linear coefficient of LFP/HFP, described d For the linear coefficient of LFP*HFP, described e is translation coefficient.
Stress appraisal procedure based on heart source property breath signal the most according to claim 1, it is characterised in that in step In rapid 1, the described method obtaining breathing fundamental frequency comprises the following steps:
Ten minutes electrocardiogram (ECG) datas under seat state are loosened in step 1, collection；
Step 2, electrocardiosignal is carried out baseline drift elimination after, calculate the integral area in the left and right 50ms of R ripple position as QRS Corrugated is amassed, and extracts QRS wave area of signal and obtains heart source property breath signal EDR (i)；
Step 3, heart source property breath signal EDR (i) is carried out interpolation and resampling process, to the heart source property breath signal after processing Carry out Fourier transform and calculate heart source property breath signal power spectrum；According to the power spectrum of heart source property breath signal, extract power The frequency of big value correspondence is as breathing fundamental frequency.
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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
CN110327036A (en) * 2019-07-24 2019-10-15 东南大学 The method of breath signal and respiratory rate is extracted from wearable ECG
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CN112998689A (en) * 2021-02-08 2021-06-22 南京泓鼎感知技术有限责任公司 Non-contact multi-person real-time respiration condition evaluation system, device and storage medium
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CN109643579A (en) * 2017-07-03 2019-04-16 深圳市汇顶科技股份有限公司 Method for evaluating quality and device, method for establishing model and module, wearable device
CN109643579B (en) * 2017-07-03 2023-08-11 深圳市汇顶科技股份有限公司 Quality evaluation method and device, model building method and module and wearable device
CN109758141A (en) * 2019-03-06 2019-05-17 清华大学 A kind of psychological pressure monitoring method, apparatus and system
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
CN110327036B (en) * 2019-07-24 2021-11-30 东南大学 Method for extracting respiratory signal and respiratory frequency from wearable electrocardiogram
CN110327036A (en) * 2019-07-24 2019-10-15 东南大学 The method of breath signal and respiratory rate is extracted from wearable ECG
CN112932424A (en) * 2019-12-09 2021-06-11 杭州壹诚企业管理咨询有限公司 Data acquisition method and system
CN112932424B (en) * 2019-12-09 2023-03-31 杭州壹诚企业管理咨询有限公司 Data acquisition method and system
CN111714144A (en) * 2020-07-24 2020-09-29 长春理工大学 Mental stress analysis method based on video non-contact measurement
CN112998689A (en) * 2021-02-08 2021-06-22 南京泓鼎感知技术有限责任公司 Non-contact multi-person real-time respiration condition evaluation system, device and storage medium
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