CN1661617A - Method for automatic diagnosing autonomic nerve - Google Patents
Method for automatic diagnosing autonomic nerve Download PDFInfo
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Abstract
The present invention relates to an automatic diagnosis method of autonomic nerve and its equipment. Said automatic diagnosis equipment includes sensing element with electrode paster, computer equipment and output equipment.
Description
Technical field
The present invention relates to a kind of automatic diagnosis method and device, particularly relate to and a kind ofly wait for a little time quietly and allow device collect signal, through the analysis of computer equipment, can obtain the automatic diagnosis method and the device (Auto diagnosing methodand device thereof for autonomic nervous) thereof of autonomic nerve of the audit report of autobnomic nervous system function.
Background technology
The scientific progress of today is at a tremendous pace, and almost the function of each organ all has corresponding method to measure and to diagnose.But development in the past only is conceived to the accurate of signal measurement, and often use many instrument and technology of invading body, for example the operation of cardiac catheterization must be stretched into a pipe and arrive heart via artery, not only quite danger is also quite painful, but invades the impression that the body technology often can't be taken the testee into account.
With respect to the painful characteristic of invading the body technology, the non-body technology of invading is only considered non-method of invading body, takes the instrument and the technology of painless nothing injury, to measure and to diagnose the function of health internal organs.But owing to can't enter human body, often can't obtain the most accurate physiological signal, formerly can't obtain gratifying accuracy and practicality often.
In recent years, Task Force of the European Society of Cardiology and theNorth American Society of Pacing and Electrophysiology (Heart RateVariability:Standards of Measurement, PhysiologicalInterpretation and Clinical Use; Circulation 93:1043-1065; 1996) and people (Cardiovascular Neural Regulation Explored in theFrequency Domain such as Malliani; Circulation 84:482-492; 1991) find HRV (HeartRate Variability) except being subjected to respiration wave influences, also reacted the function of autonomic nerve.
So-called HRV is meant the speed (that is heart rate) of heartbeat, maintains per minute 60-90 time except static state is constant, has wherein also hidden some rule and irregular fluctuations.Because the amplitude of these fluctuations is too little, the past, traditional analytical approach can't be analyzed accurately.Up in recent years, the technology of signal detecting and processing is significantly progressive, therefore can be by the assistance of spectrum analysis, the researchist finds that fluctuation small in the HRV can divide into two groups, be commonly referred to as high frequency (High Frequency, be called for short HF) and low frequency (Low Frequency is called for short LF) variability, but also can further the low frequency variability be divided into low frequency and extremely low frequency variability.Wherein, the breathing signal of high frequency and animal is synchronous, thus be called the breathing composition again, in about 3 seconds of human body once.Low frequency is then originated not clear, and the scholar infers may be relevant with vasomotion or pressure-sensitive reflection, in about 10 seconds of human body once.And existing at present many physiologists and the doctor of division of cardiology agree heart rate high frequency variability (HF) or total variability (Total power, TP) can represent parasympathetic functions, low frequency variability (LF) can be represented the overall activity of autonomic nerve, and the ratio (LF/HF) of low frequency variability and high frequency variability can react sympathetic activity.
Except as the autonomic nerve index, also discover that the heart rate variability performance reacts various biological information.For example its HRV of patient of cerebral rising can descend.Not long ago find in the investigation of U.S. Framingham, reach 1 standard deviation if the elderly's heart rate low frequency composition reduces, its chance that faces death is 1.7 times of ordinary person.
And present non-invading in the body diagnostic techniques, its various data of analyzing out are and offer the usefulness of medical professionalism personage as diagnosis, and when diagnosis, the doctor is analyzed comparison according to these data, informs testee result then.General non-medical professional then is not understand fully for the meaning of these data representatives, therefore, how to design a kind of energy according to the data that records, after being analyzed, the automatic diagnostic device of output character narration then, and make the testee can understand the function and the relevant health care of self autobnomic nervous system easily, then be the emphasis of research and development at present.
This shows that above-mentioned existing diagnostic method and device thereof still have many defectives, and demand urgently further being improved.In order to solve the defective of existing diagnostic method and device thereof, relevant manufacturer there's no one who doesn't or isn't seeks solution painstakingly, but does not see always that for a long time suitable design finished by development, and this obviously is the problem that the anxious desire of relevant dealer solves.
Because the defective that above-mentioned existing diagnostic method and device thereof exist, the inventor is based on being engaged in this type of research and development of products, design abundant for many years practical experience and professional knowledge thereof, actively studied innovation, in the hope of founding a kind of automatic diagnosis method and device thereof of new autonomic nerve, can improve general existing diagnostic method and device thereof, make it have more practicality.Through constantly research, design, and after studying sample and improvement repeatedly, create the present invention who has practical value finally.
Summary of the invention
The objective of the invention is to, overcome the defective that existing diagnostic method exists, and provide a kind of automatic diagnosis method of new autonomic nerve, technical matters to be solved is to make it do preliminary detection to testee's autobnomic nervous system in the non-body mode of invading, help the testee can understand the function and the relevant health care of self autobnomic nervous system easily, thereby be suitable for practicality more.
Another object of the present invention is to, overcome the defective that existing diagnostic device exists, a kind of device of automatic diagnosis of autonomic nerve is provided, technical matters to be solved be make its can allow the testee that is ignorant of medical skill fully through simple non-test of invading the body mode with to measured numerical value as calculated, after conversion and the analysis, export preliminary result's report and suggestion, and make the testee can understand the function and the relevant health care of self autobnomic nervous system easily, thereby be suitable for practicality more, and have industrial utilization.
The object of the invention to solve the technical problems realizes by the following technical solutions.The automatic diagnosis method of a kind of autonomic nerve that proposes according to the present invention, be testee's autobnomic nervous system to be diagnosed in the non-body mode of invading, this automatic diagnosis method may further comprise the steps: input testee's a basic document, and measurement testee's a heartbeat signal; This heartbeat signal is changed, and obtained most HRV parameters; At least one of them does the natural logarithm computing to those HRV parameters, and obtains those HRV parameters after the computing; Do to calculate and optimizations with most reference values of a data bank those HRV parameters after to computing, and export a resulting majority standard deviation; Narrate according to the diagnosis that this basic document conforms to searching in those standard deviation to one in-built meters; And those HRV parameters are integrated in output, this diagnoses narration, an audit report of this basic document and those standard deviations.
The object of the invention to solve the technical problems also can be applied to the following technical measures to achieve further.
The automatic diagnosis method of aforesaid autonomic nerve, wherein said those HRV parameters comprise a corrugation pitch, a low frequency variability parameter, a high frequency variability parameter and one low frequency/high frequency variability parameter ratio.
The automatic diagnosis method of aforesaid autonomic nerve, the step that wherein said this diagnosis that conforms to searching in those standard deviation to one in-built meters according to this basic document is narrated comprises: make comparisons with a value and the individual built-in values of the majority in this in-built meter of representing this corrugation pitch in those standard deviations, and obtain the functional status of this corrugation pitch; Make comparisons with the value of representing this low frequency variability parameter in those standard deviations and those the built-in values in this in-built meter, and obtain the functional status of this low frequency variability parameter; Make comparisons with the value of representing this high frequency variability parameter in those standard deviations and those the built-in values in this in-built meter, and obtain the functional status of this high frequency variability parameter; Representing this low frequency/value of high frequency variability parameter ratio and those the built-in values in this in-built meter to make comparisons in those standard deviations, and obtain the functional status of this low frequency/high frequency variability parameter ratio; And according to corresponding this diagnosis narration of the functional status output of those HRV parameters that obtain.
The automatic diagnosis method of aforesaid autonomic nerve is wherein saidly changed this heartbeat signal, and the step that obtains those HRV parameters comprises: this heartbeat signal is done the numeral conversion, and detect most crests of this numeral heartbeat signal; Statistics is also confirmed each those crest; Calculating and most corrugation pitches that obtain those crests, and statistics and each those corrugation pitch of affirmation; And those corrugation pitches are calculated, and obtain the frequency field of those HRV parameters.
The automatic diagnosis method of aforesaid autonomic nerve, wherein said those corrugation pitches are calculated is to use fast fourier transform.
The automatic diagnosis method of aforesaid autonomic nerve; Wherein said diagnosis narration comprises health index, testee's physique, whole autonomic nerve functional activity, physiological age curve, heartbeat and suggestion.
The automatic diagnosis method of aforesaid autonomic nerve, wherein said audit report more comprise extremely low frequency variability parameter, power-density spectrum (PSD) and general power.
The automatic diagnosis method of aforesaid autonomic nerve, wherein said audit report can be applied to autonomic nervous function assessment, severe, and more the back is judged, brain death is judged, the depth of anesthesia detecting, intimate and repel detecting or neural aging assessment etc.
The object of the invention to solve the technical problems also adopts following technical scheme to realize.The automatic diagnostic device of a kind of autonomic nerve that proposes according to the present invention, be testee's autonomic nerve to be diagnosed in the non-body mode of invading, this automatic diagnostic device comprises: a sensing element, have most electrode patch and collect line with most signals, those electrode patch are the arm skin surfaces that stick in the testee, with the heartbeat signal of detecting with the output testee; One computer equipment, has a data bank, this computer equipment is collected line by those signals and is received this heartbeat signal, and this heartbeat signal amplified, obtained most HRV parameters after filtering, digitizing and the conversion Calculation, and in do at those HRV parameters to calculate, a in-built meter behind the comparison and analysis to this data bank seeks a corresponding diagnosis narration; And an output device, be coupled to this computer equipment, to receive and an audit report of this diagnosis narration and those HRV parameters is integrated in output.
The object of the invention to solve the technical problems also can be applied to the following technical measures to achieve further.
The automatic diagnostic device of aforesaid autonomic nerve, wherein said those HRV parameters comprise a corrugation pitch, a low frequency variability parameter, a high frequency variability parameter and one low frequency/high frequency variability parameter ratio.
The automatic diagnostic device of aforesaid autonomic nerve, wherein said commentaries on classics is scaled fast fourier transform.
The automatic diagnostic device of aforesaid autonomic nerve, wherein said diagnosis narration comprises health index, testee's physique, whole autonomic nerve functional activity, physiological age curve, heartbeat and suggestion.
The automatic diagnostic device of aforesaid autonomic nerve, wherein said audit report more comprise extremely low frequency variability parameter, power-density spectrum (PSD) and general power.
The automatic diagnostic device of aforesaid autonomic nerve, wherein said output device are a display, in order to show this audit report.
The automatic diagnostic device of aforesaid autonomic nerve, wherein said output device are a printer, in order to print this audit report.
The automatic diagnostic device of aforesaid autonomic nerve, wherein said output device are a CD writers, in order to this audit report burning on discs.
The automatic diagnostic device of aforesaid autonomic nerve, wherein said output device are to be a network system, in order to this audit report is sent to remote testing.
The automatic diagnostic device of aforesaid autonomic nerve, wherein said audit report are can be applied to autonomic nervous function assessment, severe more the back is judged, brain death is judged, the depth of anesthesia detecting, intimate and repel detecting or neural aging assessment etc.
The automatic diagnostic device of aforesaid autonomic nerve, wherein said computer equipment comprise at least one amplifier, a wave filter and an analog/digital converter.
The automatic diagnostic device of aforesaid autonomic nerve, wherein said computer equipment are the computing machine that a tool digital signal is handled (DSP) ability, in order to do frequency-domain analysis, time-domain analysis and nonlinear analysis.
The present invention compared with prior art has tangible advantage and beneficial effect.By above technical scheme as can be known, in order to reach aforementioned goal of the invention, major technique of the present invention thes contents are as follows:
The present invention proposes a kind of automatic diagnosis method of autonomic nerve, this diagnostic method comprise record testee's heartbeat signal after, heartbeat signal is converted to frequency field by time domain, to obtain most HRV parameters.Secondly, these HRV parameters are done the natural logarithm computing, and intellectual most reference values with data bank do to calculate and optimizations to corresponding these HRV parameters, and export a resulting majority standard deviation.Then, to in-built meter, seek the diagnosis narration that conforms to these standard deviations according to testee's basic document.At last, the audit report of these HRV parameters, diagnosis narration, basic document and these standard deviations is integrated in output.
Described according to preferred embodiment of the present invention, above-mentioned HRV parameter comprises corrugation pitch, low frequency variability parameter, high frequency variability parameter and low frequency/high frequency variability parameter ratio.
Described according to preferred embodiment of the present invention, above-mentioned diagnosis narration comprises health index, testee's physique, whole autonomic nerve functional activity, physiological age curve, heartbeat and suggestion.
Described according to preferred embodiment of the present invention, above-mentioned audit report more comprises extremely low frequency variability parameter, power-density spectrum (PSD) and general power.
The present invention also proposes a kind of automatic diagnostic device of autonomic nerve, is in the non-body mode of invading testee's autonomic nerve to be diagnosed.This automatic diagnostic device comprises sensing element, computer equipment and output device.Above-mentioned sensing element has most electrode patch and collects line with most signals, and these electrode patch are the arm skin surfaces that stick in the testee, with the heartbeat signal of detecting with the output testee.Above-mentioned computer equipment has a data bank, be to collect line by these signals to receive heartbeat signal, and heartbeat signal amplified, obtained most HRV parameters after filtering, digitizing and the conversion Calculation, and do at these HRV parameters to calculate, in-built meter behind the comparison and analysis to the data bank seeks corresponding diagnosis narration.Above-mentioned output device is to be used for receiving and exporting the equipment of integrating diagnosis narration and HRV parameter testing report.
Described according to preferred embodiment of the present invention, above-mentioned commentaries on classics is scaled fast fourier transform.
Described according to preferred embodiment of the present invention, above-mentioned output device be display, printer, CD writers and network system at least one of them.
Described according to preferred embodiment of the present invention, above-mentioned computer equipment comprises amplifier, wave filter and analog/digital converter at least.
Described according to preferred embodiment of the present invention, above-mentioned computer equipment is handled the computing machine of (DSP) ability for having digital signal, to do frequency-domain analysis, time-domain analysis and nonlinear analysis.
Via as can be known above-mentioned, the invention relates to a kind of automatic diagnosis method and device thereof of autonomic nerve, this automatic diagnostic device comprises sensing element, computer equipment and output device.The electrode patch of its sensing element is the arm skin surface that sticks in the testee, with the heartbeat signal of detecting with the output testee.Computer equipment is then collected line self-electrode paster by signal and is received heartbeat signal, and heartbeat signal amplified, obtained most HRV parameters after filtering, digitizing and the conversion Calculation, and at these HRV parameters do to calculate, in-built meter behind the comparison and analysis to the data bank seeks corresponding diagnosis narration.At last, then integrate the audit report of diagnosis narration and these HRV parameters by output device output.
By technique scheme, the present invention has the following advantages at least: the automatic diagnosis method of autonomic nerve of the present invention, can carry out preliminary diagnosis and suggestion to testee's autobnomic nervous system in the non-body mode of invading, help the testee can understand the function and the relevant health care of self autobnomic nervous system easily, thereby be suitable for practicality more.The automatic diagnostic device of autonomic nerve of the present invention, can allow the testee that is ignorant of medical skill fully through simple non-test of invading the body mode with to measured numerical value through calculating, after conversion and the analysis, output diagnosis report and suggestion, thus be suitable for practicality more, and have industrial utilization.
In sum, the present invention is because adopt the non-body formula automatic diagnostic device of invading, therefore the testee can accept test under comfortable, safe environment, and under no healthcare givers explains orally, can also learn the situation of own health according to audit report, reaching the purpose of health care, and the present invention also can be used as the tentative diagnosis of medical institutes to sufferer, diagnose at ill privileged site by specialist according to audit report then and medical treatment, rapidly, correctly to eliminate patient's slight illness early.It has above-mentioned plurality of advantages and practical value, and in same class methods, device, do not see have similar design to publish or use and really genus innovation, no matter it all has bigger improvement on method, device or function, have large improvement technically, and produced handy and practical effect, and more existing diagnostic method and device thereof have the multinomial effect of enhancement, thus be suitable for practicality more, and have the extensive value of industry, really be a new and innovative, progressive, practical new design.
Above-mentioned explanation only is the general introduction of technical solution of the present invention, for can clearer understanding technological means of the present invention, and can be implemented according to the content of instructions, below with preferred embodiment of the present invention and conjunction with figs. describe in detail as after.
Description of drawings
Fig. 1 is the automatic diagnostic device synoptic diagram according to a kind of autonomic nerve of a preferred embodiment of the present invention.
Fig. 2 is the automatic diagnosis method flow chart of steps according to a kind of autonomic nerve of a preferred embodiment of the present invention.
Fig. 3 is a kind of flow chart of steps that heartbeat signal is converted to frequency field by time domain according to a preferred embodiment of the present invention.
Fig. 4 seeks the flow chart of steps that corresponding diagnosis is narrated according to a kind of of a preferred embodiment of the present invention to in-built meter.
Fig. 5 is the oscillogram according to a kind of heartbeat signal of a preferred embodiment of the present invention.
Fig. 6 A is the word segment synoptic diagram according to the audit report of the automatic diagnostic device output of a kind of autonomic nerve of a preferred embodiment of the present invention.
Fig. 6 B is the visuals synoptic diagram according to the audit report of the automatic diagnostic device output of a kind of autonomic nerve of a preferred embodiment of the present invention.
Fig. 7 is a kind of whole autonomic nerve functional activity synoptic diagram according to a preferred embodiment of the present invention.
100: the automatic diagnostic device of autonomic nerve
102,104,106: electrode patch
108: signal is collected line
110: sensing element
120: computer equipment
130: output device
602,604,606,608: curve map
610: physique tendency indicatrix
612: the health indicatrix
614: whole autonomic nerve functional activity synoptic diagram
S202: import a basic document (data), and measure a heartbeat signal
S204: heartbeat signal is changed, to obtain most HRV parameters
S206: this heartbeat signal is converted to frequency field by time domain
S208: obtain crest (R-R) spacing
S210: obtain low frequency variability parameter
S212: the ratio that obtains low frequency/high frequency variability parameter
S214: obtain high frequency variability parameter ratio
S216: the HRV parameter is done the natural logarithm computing, and obtain the HRV parameter after the computing
S218: the HRV parameter is done the natural logarithm computing
S220: obtain ln (LF)
S222: obtain ln (LF/HF)
S224: obtain ln (HF)
S226: do to calculate and optimizations with these HRV parameters after to computing of most reference values in the data bank, and export a resulting majority standard deviation
S228: the HRV parameter of intellectual most reference values with data bank after to corresponding computing done to calculate and optimization
S230: the standard deviation of output wave peak separation, ln (LF), ln (LF/HF) and ln (HF)
S232: to in-built meter, seek the diagnosis narration that conforms to these standard deviations according to basic document
S234: an audit report of these HRV parameters, diagnosis narration, basic document and these standard deviations is integrated in output
S302: heartbeat signal is done the numeral conversion, and detect most crests of digital heartbeat signal
S304: heartbeat signal is converted to digital heartbeat signal
S306: the crest of detecting digital heartbeat signal
S308: add up and confirm each crest
S310: calculate and obtain most corrugation pitches of these crests, and statistics and each corrugation pitch of affirmation
S312: the spacing of calculating crest and crest
S314: statistics is also confirmed each distance
S316: these spacings are calculated, and obtained the frequency field of these HRV parameters
S318: the calculating that these spacings are filled up and taken a sample
S320: the HRV parameter that obtains most frequency fields
S404: standard deviation and built-in value with corrugation pitch are made comparisons, and obtain the functional status of corrugation pitch
S406: standard deviation and built-in value with ln (LF) are made comparisons, and obtain the functional status of ln (LF)
S408: standard deviation and built-in value with ln (LF/HF) are made comparisons, and obtain the functional status of ln (LF)
S410: standard deviation and built-in value with ln (HF) are made comparisons, and obtain the functional status of ln (HF)
S412: output wave peak separation functional status
S414: output ln (LF) functional status
S416: output ln (LF/HF) functional status
S418: output ln (HF) functional status
S420: seek corresponding diagnosis narration according to the combination of these functional statuses
S422: return S232
Embodiment
Below in conjunction with accompanying drawing and preferred embodiment, the automatic diagnosis method of the autonomic nerve that foundation the present invention is proposed and install its concrete grammar step, structure, feature and effect thereof, describe in detail as after.
The automatic diagnosis method of autonomic nerve of the present invention and device thereof mainly are to utilize " physical diagnosis technology " to diagnose, and so-called " physical diagnosis technology " general reference utilizes instrument to collect the method that physics signals such as blood pressure, heart rate carry out medical diagnosis.
Seeing also shown in Figure 1ly, is the automatic diagnostic device synoptic diagram according to a kind of autonomic nerve of a preferred embodiment of the present invention.In the present embodiment, the automatic diagnostic device of this autonomic nerve is in the non-body mode of invading testee's autonomic nerve to be diagnosed.This automatic diagnostic device 100 comprises sensing element 110, computer equipment 120 and output device 130.
In the present embodiment, above-mentioned sensing element 110 has most electrode patch 102,104,106 and most signals collection lines 108.These electrode patch the 102,104, the 106th stick in testee's arm skin surface, with the heartbeat signal of detecting with the output testee.Wherein, as be familiar with this skill person and can know easily, it can for example be button type electrode patch joint that these signals are collected line 108, and one of them electrode patch can be that to paste rear end, another electrode patch leftward can be to paste leftward that front end, another electrode patch can be to paste right hand front end (adopting the subsides method of standard Lead I), but all not as limit.
Above-mentioned computer equipment 120 has a data bank (not shown), and this data bank stores the diagnosis narration of the multiple kenel that induction-arrangement crosses and in-built meter for inquiry.Computer equipment 120 is to collect lines 108 by these signals to receive heartbeat signals, and heartbeat signal is amplified, obtains most individual HRV parameters after filtering, digitizing and the conversion Calculation.Wherein, as be familiar with this skill person and can know easily, computer equipment 120 can be to comprise first Hi-pass filter, first amplifier, first low-pass filter, voltage current adapter, comparator circuit, second Hi-pass filter, optoisolator, analog/digital converter and RS-232 port,input-output, but all not as limit.
Above-mentioned computer equipment 120 after obtaining the HRV parameter, promptly to these HRV parameters do to calculate, comparison and analysis, and then the in-built meter of the data bank to the computer equipment 120 is sought corresponding diagnosis narration.
In the present embodiment, this output device 130 is for being coupled to computer equipment 120.This output device 130 is to diagnose an audit report of narrating with these HRV parameters for receiving and export to integrate.Wherein, as be familiar with this skill person and can know easily, output device 130 can be display, printer, with demonstration/printing audit report, or CD writers with the audit report burning on discs, even be that the testee is the test of accepting the nurse, output device 130 is a network system then, audit report being sent to remote testing (on doctor's the computer equipment), but all not as limit.
In preferred embodiment of the present invention, computer equipment 120 is handled the computing machine of (DSP) ability for having digital signal, and can do frequency-domain analysis, time-domain analysis and nonlinear analysis.
In the present embodiment, the operating principle of automatic diagnostic device 100 will describe in detail in following automatic diagnosis method.
Then seeing also shown in Figure 2ly, is the automatic diagnosis method flow chart of steps according to a kind of autonomic nerve of a preferred embodiment of the present invention.The automatic diagnosis method of this autonomic nerve is in the non-body mode of invading testee's autobnomic nervous system to be diagnosed.And in the present embodiment, it is for example to be the collection of the testee being carried out 5 minutes heartbeat signal.
In the present embodiment, this automatic diagnosis method is input testee's a basic document at first, and begins to measure testee's heartbeat signal (S202).Wherein, testee's basic document comprises name, age, sex etc., but not as limit.
Then, to received heartbeat signal is changed, to obtain most HRV parameters (S204).Wherein, the step of S204 comprises uses fast fourier transform (Fast FourierTransform) that this heartbeat signal is converted to frequency field (S206) by time domain, can obtain comprising crest (R-R) spacing (S208), low frequency (LF) variability parameter (S210), high frequency (HF) variability parameter (S214) and low frequency/high frequency variability parameter ratio a plurality of HRV parameters such as (S212) then.
To received heartbeat signal is changed, in the step S204 that obtains most HRV parameters, its thin portion flow process is for as shown in Figure 3 above-mentioned.See also Fig. 3, step S204 comprises that at first this heartbeat signal being made numeral changes, and detects most crests (S302) of digital heartbeat signal.
Wherein, this heartbeat signal is done the numeral conversion, and most crests detecting digital heartbeat signal are to utilize the analog/digital converter in the computer equipment that this heartbeat signal is converted to digital heartbeat signal (S304).Then, computer equipment will be detected each crest (S306) in the digital heartbeat signal.
In the present embodiment, after having detected crest, then each crest is added up and the action of confirming (S308).Then, computer equipment is calculating and most corrugation pitches that obtain these crests then, and each corrugation pitch (S310) between statistics and these crests of affirmation.Wherein, computer equipment is for calculating the distance of these crests and crest, to obtain most corrugation pitches (S312).After obtaining these corrugation pitches, then each corrugation pitch between these crests is added up and the action of confirming (S314).
At last, computer equipment promptly calculates these corrugation pitches, and obtains the frequency field (S316) of these HRV parameters.Wherein, it is calculating (S318) for these corrugation pitches being filled up and being taken a sample that these corrugation pitches are done to calculate, with the frequency field (S320) that obtains these HRV parameters.
Please then continue to consult shown in Figure 2, in the present embodiment, after obtaining these HRV parameters, promptly after step S204, computer equipment is for one of them does the natural logarithm computing at least to these HRV parameters, and obtains the natural logarithm (S216) of these HRV parameters.In step S216, it is for low frequency variability parameter, high frequency variability parameter and low frequency/high frequency variability parameter ratio is done natural logarithm computing (S218).Then, with the natural logarithm ln (LF) that obtains low frequency variability parameter (S220), the natural logarithm ln (HF) of high frequency variability parameter (S222) with the natural logarithm ln (LF/HF) of low frequency/high frequency variability parameter ratio (S224).
Next, do to calculate and optimizations with these HRV parameters after to computing of most reference values in the data bank in the computer equipment, and export a resulting majority standard deviation (S226).Wherein, do to calculate and optimizations with these HRV parameters after to computing of most reference values in the data bank in the computer equipment, and to export a resulting majority standard deviation be to utilize the artificial intelligence mode with the reference value in the data bank in the computer equipment corrugation pitch, ln (LF), ln (HF) to be done to calculate with optimization (S228) with ln (LF/HF) to export resulting corrugation pitch, ln (LF), ln (HF) and ln (LF/HF) standard deviation (S230) separately then.
In the present embodiment, after obtaining corrugation pitch, ln (LF), ln (HF) and ln (LF/HF) standard deviation separately, then to in-built meter, seek the diagnosis narration (S232) that conforms to these standard deviations according to testee's basic document.
In step S232, the operating process of seeking the diagnosis narration that conforms to the in-built meter according to testee's basic document and these standard deviations as shown in Figure 4.See also shown in Figure 4, computer equipment is for making comparisons with the standard deviation of corrugation pitch and most built-in values in the in-built meter respectively, with the functional status (S404) that obtains corrugation pitch, make comparisons with the standard deviation of ln (LF) and most built-in values in the in-built meter, with the functional status (S406) that obtains ln (LF), make comparisons with the standard deviation of ln (LF/HF) and most built-in values in the in-built meter, with the functional status (S408) that obtains ln (LF/HF), make comparisons with the standard deviation of ln (HF) and most built-in values in the in-built meter, with the functional status (S410) that obtains ln (HF).Then, the functional status (S416) of the functional status (S414) of the functional status (S412) of difference output wave peak separation, ln (LF), ln (LF/HF) and the functional status (S418) of ln (HF).At last, seek corresponding diagnosis narration (S420) in the in-built meter according to being combined in of these functional statuses.Then, return S232 (S422).
Wherein, each functional status for example is to include three state L (low), N (medium) and H (height).Therefore, the combination of the functional status of these HRV parameters will have the combination of 3*3*3*3=81 kind.
Please continue to consult shown in Figure 2, in the present embodiment, will export the audit report (S234) of integrating HRV parameter, diagnosis narration, basic document and these standard deviations at last.
Seeing also shown in Figure 5ly, is the oscillogram according to a kind of heartbeat signal of a preferred embodiment of the present invention.In preferred embodiment of the present invention, the automatic diagnosis method of autonomic nerve reaches collection line by electrode patch with signal for measuring the R ripple (as shown in Figure 5) of testee's both hands electrocardio ripple, then enters the faint signal amplifier of computer equipment.Then, QRS complex wave (as shown in Figure 5) is filtered out from numerous noises, and amplified.Afterwards, by analog/digital converter analog signal is converted to digital signal again.
In the present embodiment, the testee can obtain the audit report of being painted as Fig. 6 A and Fig. 6 B after the automatic diagnostic device test of accepting autonomic nerve of the present invention.
In Fig. 6 A, it for example is the word segment of audit report, and testee's basic document for example is to comprise name, I.D. font size, date of birth and physiological age, and the diagnosis narration for example is to comprise result, physique, heartbeat and suggestion.
In Fig. 6 B, it for example is physiological age table, HRV parameter, a plurality of curve map, pointer figure and numerical value of audit report or the like.
In the present embodiment, ECG is the abbreviation of Electrocardiogram, and its Chinese is cardiogram, that is the heartbeat signal of being mentioned in the present embodiment (for time domain).R-R is the spacing between two R ripples among Fig. 5, that is the corrugation pitch of being mentioned in the present embodiment (for frequency field), and under normal circumstances the position of R-R should be between the 600-1000ms.PSD is a power-density spectrum, and it is by quantitative 2 band power wherein of the mode of integration, comprises low frequency power and high frequency power.HF is the abbreviation of High Frequency, and it generally is defined as the power of about 0.15～0.4Hz, and it represents parasympathetic functions and activity.LF is the abbreviation of Low Frequency, and it generally is defined as the power of about 0.04～0.15Hz, its representative sympathetic and parasympathetic functions and active integration index.VLF is the abbreviation of Very Low Frequency, and it generally is defined as the power of about 0.003～0.04Hz.LF/HF is representative sympathetic nerve function and activity.LF% is representative sympathetic nerve function and activity.TP is the abbreviation of Total Power, and Chinese is called total frequency spectrum power, and it is defined as the general power in all measure spectral range, is by in spectral power density-spectrogram, and all spectral range integrations are got.VAR is the abbreviation of Variance, and its Chinese is degree of variation, represents in the test duration statistical variation or dispersion number of all numerical value of the crest-corrugation pitch of R-R spacing and heartbeat signal.N represents noise, its value must-below the 1ln (mv2), then be-3ln (mv2) usually, if greater than-1ln (mv2), then need get rid of the factor that test site produces noise.
In the present embodiment, curve map 602 is for for example being 40 years old to 80 years old heartbeat average line.Curve map 604 is the physiological age curve, and its stain is high more, represents testee's physiological age young more.Curve map 606 is for for example being 40 years old to 80 years old sympathetic nerve average line, and the high more representative representative of its stain is easier to anxiety, excitement, nervous or the like.Curve map 608 is for being to represent 40 years old to 80 years old parasympathetic nerve average line for example, and the high more representative of its stain has in motion or sleep digestive system better.
In the present embodiment, indicatrix 610 is physique tendency indicatrix, it can be divided into 2 zones, when if pointer drops on regional between parasympathetic and intermediate point, promptly representing the testee is that deflection takes it easy, the physique of anxiety more not, and when index drops on regional between sympathetic and intermediate point, promptly represent the testee be deflection nervous, than the physique of anxiety.
In the present embodiment, indicatrix 612 is the health indicatrix, and it can be divided into over, good, fair and four kinds of situations of poor.The position of its pointer indication is the index of the autonomic nerve overall state in the above-mentioned diagnosis narration.
In the present embodiment, figure 614 is whole autonomic nerve functional activity synoptic diagram, and its black part for example is the parasympathetic activity of representative, and white portion is then represented orthosympathetic activity.The ratio of its black and white color is to obtain according to above-mentioned HRV calculation of parameter.Seeing also shown in Figure 7ly, is a kind of whole autonomic nerve functional activity synoptic diagram according to a preferred embodiment of the present invention.Its whole figure is the pointer of whole autonomic nerve function, and as can be known from Fig. 7, the difference of layer not of the same age and sex all can influence the ratio of feature size and black and white color.
Comprehensive the above, the automatic diagnosis method of autonomic nerve of the present invention and device thereof, not only can allow general amateur healthcare givers when health difference occurs a little, get final product autodiagnosis, avoiding delay the opportunity of seeking medical advice, and can make the testee can understand the function and the relevant health care of the autobnomic nervous system of self easily.
The above, it only is preferred embodiment of the present invention, be not that the present invention is done any pro forma restriction, though the present invention discloses as above with preferred embodiment, yet be not in order to limit the present invention, any those skilled in the art, in not breaking away from the technical solution of the present invention scope, when the method that can utilize above-mentioned announcement and technology contents are made a little change or be modified to the equivalent embodiment of equivalent variations, in every case be the content that does not break away from technical solution of the present invention, according to technical spirit of the present invention to any simple modification that above embodiment did, equivalent variations and modification all still belong in the scope of technical solution of the present invention.
Claims (20)
1, a kind of automatic diagnosis method of autonomic nerve is in the non-body mode of invading testee's autobnomic nervous system to be diagnosed, and it is characterized in that this automatic diagnosis method may further comprise the steps:
Input testee's a basic document, and measurement testee's a heartbeat signal;
This heartbeat signal is changed, and obtained most HRV parameters;
At least one of them does the natural logarithm computing to those HRV parameters, and obtains those HRV parameters after the computing;
Do to calculate and optimizations with most reference values of a data bank those HRV parameters after to computing, and export a resulting majority standard deviation;
Narrate according to the diagnosis that this basic document conforms to searching in those standard deviation to one in-built meters; And
Those HRV parameters are integrated in output, this diagnoses narration, an audit report of this basic document and those standard deviations.
2, the automatic diagnosis method of autonomic nerve according to claim 1 is characterized in that wherein said those HRV parameters comprise a corrugation pitch, a low frequency variability parameter, a high frequency variability parameter and one low frequency/high frequency variability parameter ratio.
3, the automatic diagnosis method of autonomic nerve according to claim 2 is characterized in that the step that wherein said this diagnosis that conforms to searching in those standard deviation to one in-built meters according to this basic document is narrated comprises:
Make comparisons with a value and the individual built-in values of the majority in this in-built meter of representing this corrugation pitch in those standard deviations, and obtain the functional status of this corrugation pitch;
Make comparisons with the value of representing this low frequency variability parameter in those standard deviations and those the built-in values in this in-built meter, and obtain the functional status of this low frequency variability parameter;
Make comparisons with the value of representing this high frequency variability parameter in those standard deviations and those the built-in values in this in-built meter, and obtain the functional status of this high frequency variability parameter;
Representing this low frequency/value of high frequency variability parameter ratio and those the built-in values in this in-built meter to make comparisons in those standard deviations, and obtain the functional status of this low frequency/high frequency variability parameter ratio; And
According to corresponding this diagnosis narration of the functional status output of those HRV parameters that obtain.
4, the automatic diagnosis method of autonomic nerve according to claim 1 is characterized in that wherein said this heartbeat signal being changed, and the step that obtains those HRV parameters comprises:
This heartbeat signal is done the numeral conversion, and detect most crests of this numeral heartbeat signal;
Statistics is also confirmed each those crest;
Calculating and most corrugation pitches that obtain those crests, and statistics and each those corrugation pitch of affirmation; And
Those corrugation pitches are calculated, and obtained the frequency field of those HRV parameters.
5, the automatic diagnosis method of autonomic nerve according to claim 4 is characterized in that wherein said those corrugation pitches are calculated is to use fast fourier transform.
6, the automatic diagnosis method of autonomic nerve according to claim 1 is characterized in that wherein said diagnosis narration comprises health index, testee's physique, whole autonomic nerve functional activity, physiological age curve, heartbeat and suggestion.
7, the automatic diagnosis method of autonomic nerve according to claim 1 is characterized in that wherein said audit report more comprises extremely low frequency variability parameter, power-density spectrum (PSD) and general power.
8, the automatic diagnosis method of autonomic nerve according to claim 1 is characterized in that wherein said audit report being applied to autonomic nervous function assessment, severe more the back is judged, brain death is judged, the depth of anesthesia detecting, intimates and repel detecting or neural aging assessment etc.
9, a kind of automatic diagnostic device of autonomic nerve is in the non-body mode of invading testee's autonomic nerve to be diagnosed, and it is characterized in that this automatic diagnostic device comprises:
One sensing element has most electrode patch and collects line with most signals, and those electrode patch are the arm skin surfaces that stick in the testee, with the heartbeat signal of detecting with the output testee;
One computer equipment, has a data bank, this computer equipment is collected line by those signals and is received this heartbeat signal, and this heartbeat signal amplified, obtained most HRV parameters after filtering, digitizing and the conversion Calculation, and in do at those HRV parameters to calculate, a in-built meter behind the comparison and analysis to this data bank seeks a corresponding diagnosis narration; And
One output device is coupled to this computer equipment, integrates an audit report of this diagnosis narration and those HRV parameters with reception and output.
10, the automatic diagnostic device of autonomic nerve according to claim 9 is characterized in that wherein said those HRV parameters comprise a corrugation pitch, a low frequency variability parameter, a high frequency variability parameter and one low frequency/high frequency variability parameter ratio.
11, the automatic diagnostic device of autonomic nerve according to claim 9 is characterized in that wherein said commentaries on classics is scaled fast fourier transform.
12, the automatic diagnostic device of autonomic nerve according to claim 9 is characterized in that wherein said diagnosis narration comprises health index, testee's physique, whole autonomic nerve functional activity, physiological age curve, heartbeat and suggestion.
13, the automatic diagnostic device of autonomic nerve according to claim 9 is characterized in that wherein said audit report more comprises extremely low frequency variability parameter, power-density spectrum (PSD) and general power.
14, the automatic diagnostic device of autonomic nerve according to claim 9 is characterized in that wherein said output device is a display, in order to show this audit report.
15, the automatic diagnostic device of autonomic nerve according to claim 9 is characterized in that wherein said output device is a printer, in order to print this audit report.
16, the automatic diagnostic device of autonomic nerve according to claim 9 is characterized in that wherein said output device is a CD writers, in order to this audit report burning on discs.
17, the automatic diagnostic device of autonomic nerve according to claim 9 is characterized in that wherein said output device is a network system, in order to this audit report is sent to remote testing.
18, the automatic diagnostic device of autonomic nerve according to claim 9 is characterized in that wherein said audit report is can be applied to autonomic nervous function assessment, severe more the back is judged, brain death is judged, the depth of anesthesia detecting, intimate and repel detecting or neural aging assessment etc.
19, the automatic diagnostic device of autonomic nerve according to claim 9 is characterized in that wherein said computer equipment comprises at least one amplifier, a wave filter and an analog/digital converter.
20, the automatic diagnostic device of autonomic nerve according to claim 9 is characterized in that wherein said computer equipment is the computing machine that a tool digital signal is handled (DSP) ability, in order to do frequency-domain analysis, time-domain analysis and nonlinear analysis.
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| CN2004100045776A CN1661617A (en) | 2004-02-23 | 2004-02-23 | Method for automatic diagnosing autonomic nerve |
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| CN2004100045776A CN1661617A (en) | 2004-02-23 | 2004-02-23 | Method for automatic diagnosing autonomic nerve |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101642369B (en) * | 2008-08-04 | 2012-10-31 | 南京大学 | Autonomic nervous function biological feedback method and system |
| CN105982648A (en) * | 2015-02-06 | 2016-10-05 | 信立达科技有限公司 | Physiological monitoring feedback system and operation method thereof |
| CN106137226A (en) * | 2016-07-29 | 2016-11-23 | 华南理工大学 | A kind of stress appraisal procedure based on heart source property breath signal |
| CN106419937A (en) * | 2016-09-12 | 2017-02-22 | 南京邮电大学 | Mental stress analysis system based on heart sound HRV theory |
| CN110840435A (en) * | 2018-08-20 | 2020-02-28 | 远东新世纪股份有限公司 | Heartbeat period analysis method, device and system |
| CN112386243A (en) * | 2020-11-16 | 2021-02-23 | 蔡佐宾 | Analysis method, system, product and storage medium based on heart rate variability |
| TWI728401B (en) * | 2018-09-25 | 2021-05-21 | 高雄榮民總醫院 | Computer program product and computer readable medium for analyzing functional disturbance of autonomic nervous system through exercising tests |
| 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 |
| CN113133752A (en) * | 2020-02-25 | 2021-07-20 | 上海鼎博医疗科技有限公司 | Psychological assessment method, system, device and medium based on heart rate variability analysis |
| CN113239050A (en) * | 2021-06-17 | 2021-08-10 | 上海鼎博医疗科技有限公司 | Medical and psychological data management system, method, apparatus and storage medium |
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- 2004-02-23 CN CN2004100045776A patent/CN1661617A/en active Pending
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101642369B (en) * | 2008-08-04 | 2012-10-31 | 南京大学 | Autonomic nervous function biological feedback method and system |
| CN105982648A (en) * | 2015-02-06 | 2016-10-05 | 信立达科技有限公司 | Physiological monitoring feedback system and operation method thereof |
| CN106137226A (en) * | 2016-07-29 | 2016-11-23 | 华南理工大学 | A kind of stress appraisal procedure based on heart source property breath signal |
| CN106419937A (en) * | 2016-09-12 | 2017-02-22 | 南京邮电大学 | Mental stress analysis system based on heart sound HRV theory |
| CN110840435A (en) * | 2018-08-20 | 2020-02-28 | 远东新世纪股份有限公司 | Heartbeat period analysis method, device and system |
| TWI728401B (en) * | 2018-09-25 | 2021-05-21 | 高雄榮民總醫院 | Computer program product and computer readable medium for analyzing functional disturbance of autonomic nervous system through exercising tests |
| 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 |
| CN113133752A (en) * | 2020-02-25 | 2021-07-20 | 上海鼎博医疗科技有限公司 | Psychological assessment method, system, device and medium based on heart rate variability analysis |
| CN113133752B (en) * | 2020-02-25 | 2023-01-31 | 上海鼎博医疗科技有限公司 | Psychological assessment method, system, device and medium based on heart rate variability analysis |
| CN112386243A (en) * | 2020-11-16 | 2021-02-23 | 蔡佐宾 | Analysis method, system, product and storage medium based on heart rate variability |
| CN113239050A (en) * | 2021-06-17 | 2021-08-10 | 上海鼎博医疗科技有限公司 | Medical and psychological data management system, method, apparatus and storage medium |
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