CN1552283A - Heart rate variance analyzing method and device - Google Patents
Heart rate variance analyzing method and device Download PDFInfo
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- CN1552283A CN1552283A CNA03136568XA CN03136568A CN1552283A CN 1552283 A CN1552283 A CN 1552283A CN A03136568X A CNA03136568X A CN A03136568XA CN 03136568 A CN03136568 A CN 03136568A CN 1552283 A CN1552283 A CN 1552283A
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Abstract
A method for analyzing the variability of cardiac rhythm includes such steps as picking up the cardioelectric signals of a person to be tested, A/D conversion, choosing wave peaks calculating the difference between the amplitude or duration ofw avepeak and reference, rejecting the wave peak signals whose difference is greater than a standard valve, sampling the qualified wave peaks, interpolating to become a series of wave peak signals, and spectral analysis. Its equipment is composed of a cardioelectric signal detector, an amplifier, an A/D converter, a computer and an I/O device connected to an 'execute' key.
Description
Technical field
The invention relates to a kind of heart rate variability analysis method and device, particularly about a kind of heart rate variability analysis method and device of programmable, so that various user uses.
Background technology
Sympathetic and parasympathetic nervous belongs to autonomic nervous system and human body running every day is closely bound up.If autonomic imbalance may cause various acute or chronic disease, such as heart disease and hypertension etc., emergency cases such as severe patient even initiation sudden death.Even the people of general health, autonomic nerve unusually also often is accompanied by problems such as cardiopalmus, dyspnea, gastrointestinal disturbance and insomnia.So autonomic health care is the important topic of medical speciality still not, also is the personal problem that everyone must face every day.The quality of autonomic nervous function can influence a people's quality of the life strongly, and the early stage sign of some serious symptoms also can be peeped by unusual autonomic nervous function and be known one or two.If can learn individual or patient's autonomic nerve problem ahead of time, then may slow down even avoid many human world tragedy.
The instrument and the method for many diagnosis autonomic nervous functions have been developed on the previous clinical medicine, test of boosting (cold pressure test) that blood pressure (orthostatic blood pressure recordings), frozen water cause when comprising deep breathing heart rate variability method (heart rate variation with deep breathing), Wa Er Salva reaction (Valsalva response), perspiration functions (sudomotor function), posture conversion and biochemical test (biochemistry test) etc.Yet said method is not to need the experimenter to bear misery to carry out the aggressive test, needs expensive instrument exactly, thereby is not suitable for large-scale promotion.In addition, the accuracy of part method or the inconvenience of using have also increased its difficulty of using.
Normal human heart per minute is beated 70 times approximately, and this rhythm and pace of moving things system of clocklike beating and coming from heart inside comprises SA node, chamber joint and all kinds of nerve fiber.This rhythm and pace of moving things system is quite accurate, is responsible for keeping the most basic life rhythm.Yet in order to adapt in the changeable body and external environment, human body has developed the complete autonomic nervous system of a cover and has regulated heart rate, and it comprises the sympathetic nervous system parasympathetic nervous system of unifying.The former can make heart rate rise, and the latter then can make heart rate descend, and heart rate just produces best poised state under the two reciprocal action.Except the action effect difference, two kinds of autonomic speed of actions also are not quite similar.Orthosympathetic speed of action is slower, and the speed of action of parasympathetic nervous (especially accusing the vagus nerve of system heart rate) is very fast.The difference of two kinds of nerves on speed of action is known for a long time, but in the underdeveloped epoch of Instrumental Analysis, this characteristic not only is difficult to assessment, and it is little to be considered to use.
In addition, research worker finds that heart rate is constant and maintain the per minute 70 times except static state, has also hidden some rule or irregular fluctuations.These fluctuations are fast or slow regular or messy, but because the amplitude of these fluctuations is little, often it ignored in the medical research in the past.Afterwards, have the expert to find that further some fluctuation is consistent with respiratory movement, some then has nothing to do with breathing.Yet traditional analysis mode has run into obstacle at this, is that the amplitude of these fluctuations is too little on the one hand, and tangible being difficult for observed by the traditional record device, often needs to adopt some nocuitys to test maneuver greatly, it could be energized into the degree that can measure.On the other hand, even produced these fluctuations, there is not suitable method with its quantitative statistics yet.
In recent years many new autonomic nervous function diagnostic techniquess are succeeded in developing in succession, because the maturation of computer hardware and software engineering, the small variations of the heart rate in the time of at present can be via the human body rest is called heart rate variability (HRV) again, detects and the quantitative autonomic nervous function of heart.In other words, can be under the condition that not disturb the normal work and rest of a people, its autonomic nervous function is analyzed or diagnosed.Heart rate variability analysis can be by showing one's talent in numerous autonomic nerve diagnostic methods, and be because it comprises following several characteristics at least: (1) belongs to noninvasive diagnostic techniques, and the experimenter must not bear any misery; (2) required hardware cost is cheap, so have the potentiality of large-scale promotion; (3) through many animal and human's body experiments, confirmed that it can correctly reflect autonomic nervous function.So the heart rate variability analysis technology is promoted in recent years, and relevant research is also constantly carried out.
Phase early 1980s,, thereby become a best non-invasion and attack method that detects autonomic nervous function gradually because the introduction of spectrum analysis technique makes the heart rate variability analysis method to quantize autonomic nervous function by heart beat cycle.
By the assistance of spectrum analysis, what small fluctuation can be clear and definite in the research worker discovery heart rate variability degree is divided into two kinds, is commonly referred to as high frequency (HF) and low frequency (LF) composition.The breath signal of high frequency composition and animal is synchronous, so be called the breathing composition again, it about 3 seconds of human body once.The low frequency composition is then originated not clear, infers that it may be relevant with vasomotion or pressure-sensitive reflection, and it about 10 seconds of human body once.Part scholar further is subdivided into extremely low frequency (VLF) and low frequency composition with this low frequency composition.At present existing many physiologists and the doctor of division of cardiology agree the radio-frequency component of heart rate or always degree of variation (total power TP) can represent parasympathetic functions, and the ratio (LF/HF) of low frequency composition and high frequency composition can react orthosympathetic activity.Except as the autonomic nervous function pointer, discover that in addition the heart rate variability performance reacts multiple biological information.For example its heart rate variability of patient of cerebral rising can descend; Reach a standard deviation if old people's heart rate low frequency composition reduces, its chance that faces death is 1.7 times of ordinary person; And brain death patient's heart rate low frequency variability complete obiteration.In addition, if rejection phenomenon takes place the patient that intimates, heart rate variability also can change.In operation, heart rate variability performance reaction depth of anesthesia.Sex and age influence sympathetic nerve and parasympathetic functions really, comprise both and contain (for example young period), both also decline (for example old period), and sympathetic nerve is contained parasympathetic nervous and declined (such as male), and the sympathetic nerve parasympathetic nervous that declines is contained (such as women).Found in hospital afterwards that the women can promote at the phenolics sympathetic nerve function, but if overresponse may be accompanied by the generation of (even might cause) dangerous sub insane preceding disease.
In 1996 Christian eras, American-European heart professional society is with the analytical method standardization of heart rate variability and make that (Circulation (1996) 17, and pp.354-381), its method is shown in the flow chart of Fig. 1 known publicly.At first capture an electrocardiosignal, carry out digital sampling and noise filtering with a micro computer.Afterwards, again the RR information in the obtained electrocardiosignal (being the RR corrugation pitch) is edited, underproof RR corrugation pitch is eliminated, to obtain the RR crest information (being NN information) that normal joint rate point produces.This NN information is carried out interpolation and sampling, and is last again via the spectrum analysis of frequency domain, to obtain the analytical information of heart rate variability.But this method is carried out quite loaded down with trivial details, and the identification of noise wherein, RR information editing and superseded all processing manually, quite labor intensive and time.Aforesaid way forms a quite high use threshold, makes the personage of irrelevant specialty be difficult to use this technology.
Because heart rate variability analysis nearly all is to utilize digital computer to carry out at present, must carry out the electrocardiosignal acquisition earlier, and this electrocardiosignal is carried out analog-digital conversion, then be stored to a digital archives.Must give identification code of this digital archives or file name this moment.The correction of this digital archives and analysis must be manually to carry out.Information after analysis is finished still must rely on artificial treatment when printing.
In sum,, still must rely on manually and be handled from signal acquisition, extremely final printing of analysis file with traditional methods analyst heart rate variability.So often handle as interface by keyboard in operation, not only touch potential is various for it, and the kind of button has nothing in common with each other.In addition, the design of keyboard will increase the volume of machine, and not meet the trend of present machine miniaturization.
Summary of the invention
Main purpose of the present invention provides a kind of heart rate variability analysis method and device, is used to simplify analysis process, and carries out full-automatic operation.In addition, the present invention utilizes statistical method, carries out the filtration of noise, can improve the accuracy of heart rate variability analysis.
Heart rate variability analysis method of the present invention mainly comprises the following step: the electrocardiosignal of (1) acquisition one testee; (2) this electrocardiosignal is carried out analog-digital conversion; (3) choose the crest (peak) of this electrocardiosignal; (4) filter defective crest; (5) qualified crest is taken a sample and interpolation (interpolation) to become a successive crest signal; (6) this crest signal is carried out the spectrum analysis of frequency domain.In addition, also corrugation pitch can be filtered equally, to remove noise.
The step of underproof crest of above-mentioned filtration and corrugation pitch is the isoparametric standard deviation of height, persistent period or corrugation pitch of adding up the crest of this electrocardiosignal earlier.If crest height, persistent period or the corrugation pitch of a certain electrocardiosignal drop on outside its preset standard difference separately, will be considered to noise and deleted.
Heart rate variability analysis device of the present invention comprises wholeheartedly electrical signal detection device, a signal amplifier, analogue-to-digital converters, a computer and a digital I/O element.This electrocardiosignal detector is used to capture the electrocardiosignal of testee.This signal amplifier connects this electrocardiosignal detector, is used to amplify this electrocardiosignal.These analogue-to-digital converters connect this signal amplifier, are used for this electrocardiosignal digitized.This computer connects this analogue-to-digital converters, and it comprises a program, is used to add up, filter, analyze this electrocardiosignal behind the digitized, and can controls the step of above-mentioned heart rate variability analysis method.This numeral I/O element connects this computer, as the man-machine communication interface of this heart rate variability analysis device.In addition, this numeral I/O element can connect one " execution " button, is used for carrying out above-mentioned heart rate variability analysis method.
The present invention replaces the design of conventional keyboard with this " execution " button, and by the control of this program automatization in addition, can allow user number of times of required button when making heart rate variability analysis reduce to once, can carry out above-mentioned all steps.Therefore, the present invention not only can be implemented on small-sized machine, and gets rid of the probability of operation mistake significantly.
Description of drawings
The present invention will be illustrated according to accompanying drawing, wherein:
Fig. 1 is known heart rate variability analysis flow process;
Fig. 2 is a heart rate variability analysis device of the present invention;
Fig. 3 is a heart rate variability analysis flow process of the present invention;
Fig. 4 shows the QRS ripple that heart rate variability analysis method of the present invention is selected;
Fig. 5 is heart rate variability analysis result of the present invention.
The specific embodiment
Fig. 2 is a heart rate variability analysis device 20 of the present invention, it mainly comprises a signal amplifier 21, analogue-to-digital converters 22, a computer 23, one digital I/O elements 24, wholeheartedly electrical signal detection device 25, one " execution " button 26 and a casing 32.This casing 32 can be the rectangle stereochemical structure that a length is respectively 11,14,4.5 centimeters sizes, is used for holding main devices such as this signal amplifier 21, analogue-to-digital converters 22, computer 23 and digital I/O element 24.This electrocardiosignal detector 25 can be made up of three detecting electrodes 251, and one is connected to testee, and the other end passes this casing 32 and is connected to this signal amplifier 21, in order to capturing the electrocardiosignal of this testee, and transmits it to this signal amplifier 21.This electrocardiosignal is utilized these analogue-to-digital converters 22 to convert digital signal to and is imported this computer 23 after this signal amplifier 21 amplifies.This computer 23 is carried out a program 231 carrying out series of analysis and control work, its content will describe as after.This numeral I/O element 24 is as this computer 23 and the coffret that is somebody's turn to do " execution " button 26.In fact, this numeral I/O element 24 be one with extraneous man-machine interface of linking up, it also can connect one " noise " display lamp 33, one " no signal " display lamp 34, one " printing " display lamp 35, one " in the record " display lamp 36 and one " in the standby " display lamp 37 etc. in addition, to show the user mode of this heart rate variability analysis device 20; Maybe can connect one " cancellation " button 27, in order to the function of force interrupt flow process to be provided.Above-mentioned button 26,27 and various display lamp 33 to 37 can be installed in the same side of this casing 32, conveniently to monitor.Available cable 38 is connected between this signal amplifier 21 and the analogue-to-digital converters 22, between these analogue-to-digital converters 22 and this computer 23 and between this computer 23 and the digital I/O element 24, transmits to carry out signal.
In addition, this computer 23 can connect a display 29 and a printer 30, in order to show or to print the heart rate variability analysis result of this electrocardiosignal.This signal amplifier 21 can connect a battery 31 in addition or directly connect an alternating current power supply, so that itself required power supply to be provided.
Heart rate variability analysis flow process of the present invention describes successively below with reference to this heart rate variability analysis device 20 of Fig. 2 as shown in Figure 3.
Behind these heart rate variability analysis device 20 electric power startings, should can light by " in the standby " display lamp 37, tell this heart rate variability analysis device 20 of user to be in spendable holding state.All programs of this heart rate variability analysis are to activate via this " execution " button 26.When pressing this " execution " button 26, should will light by " in the record " display lamp 36, and this electrocardiosignal detector 25 begins to capture an of short duration electrocardiosignal, after this signal amplifier 21 amplifies or adds band-pass filter, imports this analogue-to-digital converters 22 into.Then, use this program 231 these analogue-to-digital converters 22 of control this electrocardiosignal to be carried out the sampling of analog-digital conversion and per second 256 to 2048 times.This program 231 also can add the function that detects 50/60Hz signal wherein simultaneously, if signal is too strong, " noise " display lamp 33 lights.Afterwards, at the crest of each heart beating this electrocardiosignal is found out, i.e. the QRS ripple (please refer to Fig. 4) of heart beating is as the representative of each heart beating.If there is not crest, then should light by " no signal " display lamp 34.This program 231 can be measured parameters such as its height and persistent period from the crest of each heart beating, and the meansigma methods and the standard deviation of each parameter are calculated as standard form.Next each heart beating crest is all compared with this template, if the comparison result of the crest of a certain heart beating drops on outside the one first preset standard difference of standard form, will be considered to noise and deleted.In the general practical operation, most of with the default value of three standard deviations as this first preset standard difference.
The corrugation pitch of two contiguous heart beatings is measured,, and the meansigma methods and the standard deviation of all heart beating spacings calculated, carry out the affirmation of all heart beating spacings again as the heart beat cycle of this time.If a certain heart beating spacing drops on outside the one second preset standard difference, it also can be considered to noise or unstable signal and delete.The same, general also with the default value of three standard deviations as this second preset standard difference.The crest that all are qualified is taken a sample and interpolation with suitable frequency (for example 7.11Hz), to keep its time continuity.Detect and whether to press by " cancellation " button 27 with this program 231.In this way, then get back to holding state; Otherwise proceed with the following step.Judge with this program 231 whether quantity of information is enough.If not enough, then continue the acquisition electrocardiosignal, thereby form a loop; In this way, then proceed following steps.
Fourier transform method is adopted in spectrum analysis, and at first the straight line drift motion of erasure signal prevents the interference of low-frequency band, and adopts the Hamming computing to avoid the mutual seepage (leakage) of individual frequencies composition in the frequency spectrum.Information (2048 point) the execution fast fourier transform of next getting 288 seconds obtains power-density spectrum, and (heart rate power spectraldensity, HPSD), and the influence that sampling and Hamming computing are caused compensates.The power-density spectrum of heart rate variability comprises LF (0.04-0.15Hz) and HF (0.15-0.4Hz) power by the quantitative wherein power of two frequency bands of the mode of integration, obtains LF/HF or TP etc. simultaneously and quantizes parameter, and its result as shown in Figure 5.
At last the result is presented at this display 29, or prints off by this printer 30.When this printer 30 prints, should light by " printing " display lamp 35.This display 29 and printer 30 are built in this heart rate variability analysis device 20 in also can be directly except external.
This program 231 is except statistics, filtration and the analysis that can carry out electrocardiosignal, also can increase the function of the step of the above-mentioned heart rate variability analysis method of control as present embodiment, allow user only need press this " execution " button 26, can finish all steps.
Must import a lot of information during the tradition heart rate variability analysis, the present invention integrates control by computer with program, the number of times of user required button when analyzing heart rate variability can be reduced to once, and only need a button can replace the design of original keyboard, not only can be implemented on small-sized machine, and provide the operation of hommization to connect, except the probability of significantly getting rid of operation mistake, also be convenient to extend to the layman.In addition, heart rate variability analysis device of the present invention presses the button certainly and begins to carry out to analysis of heart rate variability result who prints the experimenter and autonomic nerve information in practical operation, only needs about five minutes, saves time very much, convenient.
Technology contents of the present invention and technical characterstic are open as above, yet those skilled in the art still may reach openly and do all replacement and modifications that does not deviate from spirit of the present invention based on teaching of the present invention.Therefore, protection scope of the present invention should be not limited to the disclosed content of embodiment, and should comprise various do not deviate from replacement of the present invention and modifications, and is contained by the claim of present patent application.
Claims (16)
1. heart rate variability analysis method comprises the following step:
Capture the electrocardiosignal of a testee;
This electrocardiosignal is carried out analog-digital conversion;
Choose the crest of this electrocardiosignal;
Add up the height of this crest or the standard deviation of persistent period;
If the height or the persistent period of the crest of a certain electrocardiosignal drop on outside the one first preset standard difference, will be considered to noise and deleted;
Qualified crest taken a sample and interpolation to become a successive crest signal;
This crest signal is carried out the spectrum analysis of frequency domain.
2. heart rate variability analysis method according to claim 1 is characterized in that the described first preset standard difference is three standard deviations.
3. heart rate variability analysis method according to claim 1 is characterized in that it comprises the step that a corrugation pitch and of calculating this electrocardiosignal is filtered defective corrugation pitch in addition.
4. heart rate variability analysis method according to claim 3, the step that it is characterized in that the defective corrugation pitch of described filtration is the standard deviation of adding up the corrugation pitch of this electrocardiosignal earlier, if the corrugation pitch of a certain electrocardiosignal drops on outside the one second preset standard difference, will be considered to noise and deleted.
5. heart rate variability analysis method according to claim 4 is characterized in that the described second preset standard difference is three standard deviations.
6. heart rate variability analysis method according to claim 1 is characterized in that its instruction input via a button, can finish institute in regular turn in steps.
7. heart rate variability analysis method according to claim 1 is characterized in that whether enough it comprise a sample intelligence detection step in addition.
8. heart rate variability analysis method according to claim 1 is characterized in that described crest signal Spectrum Analysis result is presented on the screen or printout.
9. heart rate variability analysis method according to claim 1 is characterized in that described crest is a QRS ripple.
10. heart rate variability analysis device comprises:
Electrical signal detection device wholeheartedly is used to capture the electrocardiosignal of testee;
One signal amplifier is used to amplify this electrocardiosignal;
One analogue-to-digital converters are with this electrocardiosignal digitized;
One computer is used for statistics, filters and analyze this numeral electrocardiosignal; And
One digital I/O element is connected to this computer, is the man-machine communication interface as this heart rate variability analysis device.
11. heart rate variability analysis device according to claim 10 is characterized in that described digital I/O element is connected to a button, is used to drive this computer and carries out statistics, filters and analyze this numeral electrocardiosignal.
12. heart rate variability analysis device according to claim 10 is characterized in that described signal amplifier, analogue-to-digital converters, computer and digital I/O element are to be installed in the casing.
13. heart rate variability analysis device according to claim 10 is characterized in that it comprises at least one display lamp that is connected in this numeral I/O element in addition, is used to show the state that carries out.
14. heart rate variability analysis device according to claim 10 is characterized in that it comprises a display that is connected to this computer in addition.
15. heart rate variability analysis device according to claim 10 is characterized in that it comprises a printer that is connected to this computer in addition.
16. heart rate variability analysis device according to claim 10 is characterized in that described electrocardiosignal detector is to be made of at least two detecting electrodes.
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| CNA03136568XA CN1552283A (en) | 2003-05-27 | 2003-05-27 | Heart rate variance analyzing method and device |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101926642A (en) * | 2010-08-31 | 2010-12-29 | 山东大学 | Physiological signal interval series-based cardiac function noninvasive detection device |
| CN103876728A (en) * | 2014-03-24 | 2014-06-25 | 深圳市倍泰健康测量分析技术有限公司 | Method and equipment for monitoring electrocardiogram data by mobile terminals |
| CN103690156B (en) * | 2013-11-22 | 2016-01-27 | 东软熙康健康科技有限公司 | The processing method of a kind of heart rate acquisition methods and electrocardiosignal |
| CN106580262A (en) * | 2012-06-19 | 2017-04-26 | 德克萨斯仪器股份有限公司 | Real time QRS duration measurement in electrocardiogram |
-
2003
- 2003-05-27 CN CNA03136568XA patent/CN1552283A/en active Pending
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101926642A (en) * | 2010-08-31 | 2010-12-29 | 山东大学 | Physiological signal interval series-based cardiac function noninvasive detection device |
| CN106580262A (en) * | 2012-06-19 | 2017-04-26 | 德克萨斯仪器股份有限公司 | Real time QRS duration measurement in electrocardiogram |
| CN103690156B (en) * | 2013-11-22 | 2016-01-27 | 东软熙康健康科技有限公司 | The processing method of a kind of heart rate acquisition methods and electrocardiosignal |
| CN103876728A (en) * | 2014-03-24 | 2014-06-25 | 深圳市倍泰健康测量分析技术有限公司 | Method and equipment for monitoring electrocardiogram data by mobile terminals |
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