CN104644151B - A kind of pressure pulse wave wave travel Forecasting Methodology based on photoelectricity volume pulse signal - Google Patents
A kind of pressure pulse wave wave travel Forecasting Methodology based on photoelectricity volume pulse signal Download PDFInfo
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Abstract
A kind of pressure pulse wave wave travel prediction meanss based on photoelectricity volume pulse signal, it is characterised in that：Including Waveform Input module, waveform conditioning module, waveform fitting module, waveform modular converter, and waveform output module.Wherein：Waveform conditioning module includes pretreatment circuit, it is single to clap separator and normalization circuit, waveform fitting module includes fitting function setting apparatus, waveform fitting device and waveform quality arbiter, waveform modular converter includes position setting apparatus, object function setting apparatus, characterizing population group's setting apparatus, parameter converter and waveform synthesizer.The device can have partes corporis humani position pressure pulse wave signal using partes corporis humani's position photoelectricity volume pulse signal according to the prediction of physiology statistical law, and the use scope of the device, prediction effect and stability all improve compared with existing apparatus.
Description
Technical field
It is more particularly to a kind of that each position pressure is predicted based on photoplethysmographic the present invention relates to technical field of medical equipment
The method of power pulse waveform.
Background technology：
Contain abundant haemodynamics information in pulse wave.Always as clinical diagnosis and the foundation for the treatment of, largely
Clinical measured result confirm that the feature of pulse wave has close relationship with cardiovascular physiology state.Pulse wave is shown
The synthesis of the aspects such as the form (shape of ripple), intensity (amplitude of ripple), speed (speed of ripple) and the rhythm and pace of moving things (cycle of ripple) that come
Information reflects many physiology and pathological characters of cardiovascular system of human body to a great extent.
In terms of acquisition principle, the acquisition mode of current pulse wave mainly has to be adopted using the pressure pulse wave of pressure sensor
Collection or the photoplethysmographic collection using photoelectric sensor.Intraarterial pressure pulse wave has obtained more comprehensive analysis and has ground
Study carefully, fluid mechanic model is more clear and definite, corresponding Hydrodynamic character and cardiovascular physiology meaning application are also relatively broad.So
And, the collection of human pressure's pulse wave is highly prone to many-sided interference such as collection position, and required operative skill requirement is higher, and lacks
Weary repeatability, is not easy to continuous detection.The collection of photoplethysmographic finger tip has preferable stability and repeatability, but its
More perfect pressure pulse wave is studied to the accuracy that cardiovascular function judges not good enough.
The content of the invention：
Existing technical scheme is mainly using gathering position photoelectricity plethysmogram signal and correspondence target site pressure pulse wave is believed
Number the non-physiological parameter model such as transmission function set up of power spectrumanalysis, and focus mainly on finger volume pulse signal and oar
Arterial pressure pulse signal.Because the individual difference of pulse signal is larger, said apparatus in large-scale application stability compared with
Difference, function is more single, and set up model is unfavorable for the amendment and improvement to model in itself without physiological significance.
To solve the above problems, the present invention propose respectively a kind of volume pulsation signal based on pulse wave physiological characteristic and
The waveform of pressure pulse signal expression formula containing ginseng, and set up collection position photoplethysmographic expression using priori statistical law
Regression equation group between formula parameter and corresponding target site pressure pulse waveform expression argument.So as to the photoelectricity for realizing being input into
Volume pulsation signal is converted to the pressure pulse wave signal of target site.The method of waveform fitting has preferable stability, returns
Returning equation group has clearer and more definite physiological significance, convenient to be finely adjusted and improvement for different physiological status.It is possible thereby to solve
Prediction stability of waveform is poor in the prior art, and the problem that model cannot be corrected.
To reach above-mentioned purpose, the technical solution used in the present invention is：A kind of pressure based on photoelectricity volume pulse signal
Power pulse wave propagation forecast device, it is characterised in that：Including signal input conditioning module, waveform fitting module, waveform modulus of conversion
Block, Waveform composition module and output module.
The Waveform Input module is received from the time domain photoelectricity volume pulse signal of a certain position actual measurement of human body.
The Signal-regulated kinase, the time domain photoelectricity volume pulse signal to being input into is pre-processed, using prior art
It is broken down into the single of correspondence single cardiac cycle and claps signal, place is normalized with wavelength to each single amplitude for clapping signal
Reason.
The waveform fitting module receives the single bat pulse signal after normalization, and using given waveform expression formula containing ginseng
fIApplication curves fitting algorithm is fitted to it, and the expression formula containing ginseng of waveform by representing the main ripple of pulse waveform, dicrotic pulse respectively
Ripple, the expression formula containing ginseng of back wave are added and determine, fitting gained analytical expression parameters vector is II, as wave character
Parameter vector.
Photoelectricity volume pulse signal containing ginseng expression formula be：
Wherein, Hin, bin, WinIt is parameter, t is independent variable, represents sampling number.N=1 in expression formula, 2,3 part point
Not Dui Ying pulse waveform main ripple, back wave, dicrotic pulse waveform.Wherein, HinRepresent the amplitude of fluctuation, binRepresent fluctuation
Center, WinThe width of fluctuation.
Curve fitting process algorithm uses least-squares algorithm, and parameters scope is entered according to each fluctuation physiological significance
Row is limited, afterwards setting fitting primary condition Hi1>Hi2>Hi3, bi1<bi2<bi3,Win>0.It is fitted the characteristic parameter vector I for determiningI
For：
II=[Hi1,Hi2,Hi3,bi1,bi2,bi3,Wi1,Wi2,Wi3]
Under the conditions of above-mentioned waveform expression formula containing ginseng, fitting effect depends primarily on the interference journey that pulse wave collection is subject to
Degree, therefore determine coefficients R to be fitted2As the quantification standard that waveform quality differentiates.Fitting determines coefficients R2It is conventional judgement two
The computational methods of curve similarity degree.R in the present invention2Equally as acquisition quality discriminant parameter, correspondence R2Less than certain value
Single waveform of clapping is thought acquisition quality difference and is given up.
R2Computing formula is as follows：
Wherein, fi,Represent that measured light Power Capacity Pulse Rate strong point, measured light Power Capacity pulse data are average respectively
Value and data point fitting desired value, pl is unicast data point number.
The waveform modular converter, is grouped according to measured's sex, age, mean arterial pressure index, and according to right
The priori system between lower photoplethysmographic actual measurement position and required forecast pressure pulse wave position waveform feature parameter should be grouped
Meter rule, prediction corresponding position pressure pulse wave waveform feature parameter is calculated using measured light Power Capacity pulse wave characteristic parameters.
Above-mentioned correspondence classification lower photoplethysmographic actual measurement position and required forecast pressure pulse wave position wave character
Priori statistical law method for building up between parameter is as follows：
(1) first, the crowd for participating in experiment is grouped according to sex, age, mean arterial pressure (MAP), its middle age
Age was starting with 20 years old, was within 5 years old interval.Mean arterial pressure is starting with 70mmHg, and 10mmHg is interval.People to participating in experiment
Group is grouped.Detect ear, finger end, photoplethysmographic at toe end simultaneously to above-mentioned each group Subject Population respectively,
And using pressure pulse wave signal at pressure sensor detection radial artery, arteria brachialis, arteria carotis.So as to obtain different crowd feature
Observed pressure pulse involve photoplethysmographic signal.
(2) set up after between actual measurement photoplethysmographic and actual measurement target site pressure pulse wave waveform feature parameter
Statistics relation.It is similar to above-mentioned photoplethysmographic feature extraction mode, to extract pressure pulse wave waveform feature parameter,
Observed pressure pulse waveform is fitted using pressure pulse wave expression formula, pressure pulse wave expression formula containing ginseng is：
Expression argument and domain of definition are and fIIt is identical.Fit procedure algorithm uses least-squares algorithm, and according to each ripple
Dynamic physiological significance is defined to parameters scope, afterwards setting fitting primary condition Ho1>Ho2>Ho3, bo1<bo2<bo3,Won>
0。
Its characteristic parameter vector is IO=[Ho1,Ho2,Ho3,bo1,bo2,bo3,Wo1,Wo2,Wo3]
(3) measured waveform to different grouping different parts is utilized respectively fIAnd fOTo the photoplethysmographic ripple surveyed
Shape and pressure pulse waveform are fitted using waveform fitting module, obtain the I of correspondence each photoelectricity volume pulse signal of actual measurementI
And the I of pressure pulse signalOVector.For each site pressure pulse signal IOVectorial each parameter, sets up correspondence different grouping
While gather photoelectricity volume pulse signal characteristic parameter vector multiple linear regression equations, i.e.,：
Ho1=TM11×Hi1+TM12×Hi2+......+TM19×Wi3+CM1
Ho2=TM21×Hi1+TM22×Hi2+......+TM29×Wi3+CM2
Ho3=TM31×Hi1+TM32×Hi2+......+TM39×Wi3+CM3
bo1=TM41×Hi1+TM42×Hi2+......+TM49×Wi3+CM4
bo2=TM51×Hi1+TM52×Hi2+......+TM59×Wi3+CM5
bo3=TM61×Hi1+TM62×Hi2+......+TM69×Wi3+CM6
Wo1=TM71×Hi1+TM72×Hi2+......+TM79×Wi3+CM7
Wo2=TM81×Hi1+TM82×Hi2+......+TM89×Wi3+CM8
Wo3=TM91×Hi1+TM92×Hi2+......+TM99×Wi3+CM9
Each term coefficients of TM and CM are determined by multiple linear regression equations.Arrange IOParameters set up equation group, arrange system
Matrix number and constant matrices, can obtain TM and CM, wherein, TM is 9 rank square formations, and CM is 9 element column vectors.
It is special using the waveform for gathering position in application process according to above-mentioned utilization prior probability gained TM and CM matrixes
Levy parameter vector IICalculate the characteristic parameter vector I of target siteO.According to surveyed photoplethysmographic, its feature I is extractedI,
Target site characteristic vector I can then be obtainedOFor：
IO=TM × II+CM
The target site characteristic parameter vector I that will be obtained afterwardsOSubstitute into pressure pulse wave expression formula containing ginseng of corresponding position
fO, obtain corresponding pressure pulse wave analytical expression.Complete waveform conversion.
The waveform output module, by result and target site characteristic parameter the vector I of above-mentioned Waveform composition moduleOBy will
Form is asked to export.
The beneficial effects of the present invention are：
(1) apparatus of the present invention only need to detect the single position photoelectricity volume pulse signal of human body, you can obtained under certain precision
Take the pressure pulse wave signal of different parts.It is simple to operate, and waveform quality stabilization.Normal pressures pulse wave is overcome to adopt
Testing process is complicated during collection, using inconvenience, and is difficult to obtain the problem of stabilization pulse wave.In actual application
The direct times of collection of pressure pulse wave is effectively reduced, the demand to operative skill is reduced, measured's level of comfort is improve.Through
Substantial amounts of confirmatory experiment is crossed, is worked well.
(2) the waveform fitting device based on pulse wave physiological fluctuating characteristic is applied to multiple location pulse wave first,
So as to analyze the change of the physiological in its communication process.The adjustment and correction of model are facilitated, is that larger scale clinical application is established
Certain basis.
Brief description of the drawings：
Fig. 1 is structured flowchart of the present invention
Fig. 2 is operational flowchart of the present invention
Fig. 3 is waveform fitting and characteristic parameter schematic diagram
Fig. 4 is an actual measurement example, and gives the contrast with observed pressure waveform
Fig. 5 is that the present invention is predicting the experiment effect figure of radial artery pressure pulse wave using finger tip photoplethysmographic.
R2Data are that observed pressure pulse list claps waveform and the single cross validation effect clapped between waveform of prediction, and 426 are tested altogether.
Specific embodiment：
A kind of more typical specific embodiment of the invention is described in detail below in conjunction with accompanying drawing.
A kind of typical application scenarios of the invention are to predict radial artery using human body finger tip photoplethysmographic signal
Pressure pulse wave signal.It is possible thereby to the mature technology gathered using finger tip and high-quality waveform obtain physiological significance definitely
Radial artery pressure pulse wave data.
As shown in figure 1, after prediction process starts, first according to the Sex, Age of measured, blood pressure selects corresponding feature
Crowd, and corresponding prediction position is selected as needed.With 56 years old age women, pressure value is tested for 90/130mmHg's
As a example by person, sex, age and pressure value are set in step s 201, collection position is finger tip, and target prediction position is radial artery.
According to setting in S202, system is the packet situation according to priori statistical law, automatically selects out correspondence crowd and position
TM and CM matrixes.
System starts to receive measured waveform in step S203, and step S204 nursed one's health input waveform, filter baseline with
Hz noise, by continuous wave according to cardiac cycle separated component vertical wave shape, and carries out wave-shape amplitude and ripple in units of waveform
Normalization long, wherein, the normalization of wavelength is realized by the method for interpolation.
In S205 steps, according to the collection waveform fitting expression formula given in S203, to each single waveform of clapping using most
Small least square method carries out curve fitting.
Fitting expression is：
Setting primary condition.So as to obtain each single I for clapping waveform of correspondenceIAnd calculate R2。
In this example, waveforms amplitude and wavelength are respectively defined as 100 units, then
II=[Hi1,Hi2,Hi3,bi1,bi2,bi3,Wi1,Wi2,Wi3]=[43,69,49,15,27,48,14,25,52]
R2>0.99
According to R in step S2062Numerical value carries out waveform quality judgement, to R2<0.95 waveform is given up, and records house
Abandon ratio.If waveform occur to give up, next bat waveform is extracted again and is analyzed.R under normal circumstances2<0.95 waveform ratio<
3%, when giving up ratio more than 5%, it is considered as adjusting acquisition mode.
Is of the step S207 to up-to-standard waveform in S206IChanged, calculated the characteristic vector I of target site waveformO,
According to formula：
IO=TM × II+CM
In this example, TM and CM is by the radial artery pressure pulse wave and finger tip photoelectricity volume measured before the patient simultaneously
Pulse wave signal is respectively according to fiWith foFitting, and corresponding regression equation acquisition is set up by the parameter for obtaining respectively.
It is computed obtaining：
IO=[Ho1,Ho2,Ho3,bo1,bo2,bo3,Wo1,Wo2,Wo3]=[64,71,35,14,25,49,13,22,48]
By I in step S208OMiddle parameters substitute into given target site pressure pulse wave expression formula, i.e.,
Target site prediction waveform expression formula and respectively corresponding main ripple are obtained, reflection involves dicrotic wave prediction waveform.
Step S209 exports above-mentioned waveform and parameter according to specified format.
Claims (1)
1. a kind of pressure pulse wave wave travel Forecasting Methodology based on photoelectricity volume pulse signal, it is characterised in that：Including ripple
Shape input module, Signal-regulated kinase, waveform fitting module, waveform modular converter, and waveform output module；
The Waveform Input module is received from the time domain photoelectricity volume pulse signal of a certain position actual measurement of human body；
The Signal-regulated kinase, the time domain photoelectricity volume pulse signal to being input into is pre-processed, and is broken down into correspondence single
The single of one cardiac cycle claps pulse signal, and each single amplitude for clapping pulse signal is normalized with wavelength；
The waveform fitting module receives the single bat pulse signal after normalization, and using given waveform expression formula containing ginseng fIShould
It is fitted with curve fitting algorithm, the expression formula containing ginseng of waveform by representing the main ripple of pulse waveform, dicrotic wave, anti-respectively
The expression formula containing ginseng of ejected wave is added and determines, fitting gained analytical expression parameters vector is II, as waveform feature parameter
Vector；
The waveform of photoelectricity volume pulse signal contains ginseng expression formula：
Wherein, Hin, bin, WinIt is parameter, t is independent variable, represents sampling number；N=1 in expression formula, 2,3 part is right respectively
Answer main ripple, back wave, the dicrotic pulse waveform of pulse waveform；Wherein, HinRepresent the amplitude of fluctuation, binRepresent the center of fluctuation
Position, WinThe width of fluctuation；
Curve fitting process algorithm uses least-squares algorithm, and parameters scope is limited according to each fluctuation physiological significance
Fixed, setting afterwards is fitted primary condition Hi1>Hi2>Hi3, bi1<bi2<bi3,Win>0；It is fitted the characteristic parameter vector I for determiningIFor：
II=[Hi1,Hi2,Hi3,bi1,bi2,bi3,Wi1,Wi2,Wi3]
Under the conditions of above-mentioned waveform expression formula containing ginseng, fitting effect depends primarily on the annoyance level that pulse wave collection is subject to, therefore
Determine coefficients R to be fitted2As the quantification standard that waveform quality differentiates；Fitting determines coefficients R2It is the conventional curve of judgement two
The computational methods of similarity degree；R2As acquisition quality discriminant parameter, correspondence R2Single waveform of clapping less than certain value is thought to gather matter
Amount difference is simultaneously given up；
R2Computing formula is as follows：
Wherein,Measured light Power Capacity Pulse Rate strong point, measured light Power Capacity pulse data average value and number are represented respectively
Strong point is fitted desired value, and pl claps pulse signal data point number for single；
The waveform modular converter, is grouped according to measured's sex, age, mean arterial pressure index, and according to correspondence point
Priori statistics rule between the lower photoplethysmographic actual measurement position of group and required forecast pressure pulse wave position waveform feature parameter
Rule, prediction corresponding position pressure pulse wave waveform feature parameter is calculated using measured light Power Capacity pulse wave characteristic parameters；
Above-mentioned correspondence packet lower photoplethysmographic actual measurement position and required forecast pressure pulse wave position waveform feature parameter
Between priori statistical law method for building up it is as follows：
(1) first, the crowd for participating in experiment is grouped according to sex, age, mean arterial pressure, the wherein age was with 20 years old
Starting, 5 years old is interval；Mean arterial pressure is starting with 70mmHg, and 10mmHg is interval；Crowd to participating in experiment is divided
Group；Detect ear, finger end, photoplethysmographic at toe end simultaneously to above-mentioned each group Subject Population respectively, and using pressure
Pressure pulse wave signal at force snesor detection radial artery, arteria brachialis, arteria carotis；So as to obtain the actual measurement pressure of different crowd feature
Power pulse involves photoplethysmographic signal；
(2) statistics between actual measurement photoplethysmographic and actual measurement target site pressure pulse wave waveform feature parameter is set up after
Relation；It is similar to above-mentioned photoplethysmographic waveform feature parameter vector extracting mode, to extract pressure pulse waveform
Characteristic parameter, is fitted, pressure pulse wave using pressure pulse waveform expression formula containing ginseng to observed pressure pulse waveform
Waveform contains ginseng expression formula：
Expression argument and domain of definition are and fIIt is identical；Fit procedure algorithm uses least-squares algorithm, and according to each fluctuation physiology
Meaning is defined to parameters scope, afterwards setting fitting primary condition Ho1>Ho2>Ho3, bo1<bo2<bo3,Won>0；
Its characteristic parameter vector is IO=[Ho1,Ho2,Ho3,bo1,bo2,bo3,Wo1,Wo2,Wo3]
(3) measured waveform to different grouping different parts is utilized respectively fIAnd fOTo survey photoplethysmographic waveform and
Pressure pulse waveform is fitted using waveform fitting module, obtains the I of correspondence each photoelectricity volume pulse signal of actual measurementIAnd pressure
The I of power pulse signalOVector；For each site pressure pulse signal IOVectorial each parameter, sets up the same of correspondence different grouping
When gather photoelectricity volume pulse signal characteristic parameter vector multiple linear regression equations, i.e.,：
Ho1=TM11×Hi1+TM12×Hi2+......+TM19×Wi3+CM1
Ho2=TM21×Hi1+TM22×Hi2+......+TM29×Wi3+CM2
Ho3=TM31×Hi1+TM32×Hi2+......+TM39×Wi3+CM3
bo1=TM41×Hi1+TM42×Hi2+......+TM49×Wi3+CM4
bo2=TM51×Hi1+TM52×Hi2+......+TM59×Wi3+CM5
bo3=TM61×Hi1+TM62×Hi2+......+TM69×Wi3+CM6
Wo1=TM71×Hi1+TM72×Hi2+......+TM79×Wi3+CM7
Wo2=TM81×Hi1+TM82×Hi2+......+TM89×Wi3+CM8
Wo3=TM91×Hi1+TM92×Hi2+......+TM99×Wi3+CM9
Each term coefficients of TM and CM are determined by multiple linear regression equations；Arrange IOParameters set up equation group, arrange coefficient matrix
And constant matrices, TM and CM is obtained, wherein, TM is 9 rank square formations, and CM is 9 element column vectors；
According to above-mentioned utilization prior probability gained TM and CM matrixes, in application process, joined using the wave character for gathering position
Number vector IICalculate the characteristic parameter vector I of target siteO；According to surveyed photoplethysmographic, its feature I is extractedI, then
Target site characteristic parameter vector IOFor：
IO=TM × II+CM
The target site characteristic parameter vector I that will be obtained afterwardsOSubstitute into pressure pulse waveform expression formula containing ginseng of corresponding position
fO, obtain corresponding pressure pulse wave analytical expression；Complete waveform conversion；
The waveform output module, by result and target site characteristic parameter the vector I of above-mentioned waveform modular converterOShape on request
Formula is exported.
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| CN105615845B (en) * | 2016-02-25 | 2020-05-19 | 广州视源电子科技股份有限公司 | Method and system for detecting interference pulse signal |
| CN109662702A (en) * | 2018-05-23 | 2019-04-23 | 李芝宏 | Condenser type pulse detection system and method |
| CN111685749B (en) * | 2020-06-18 | 2022-09-02 | 郑昕 | Construction method of pulse pressure wave mathematical model |
| CN116981398A (en) * | 2020-12-04 | 2023-10-31 | 华为技术有限公司 | Blood pressure prediction method, blood pressure prediction device, and computer program |
| CN112826459B (en) * | 2021-01-08 | 2022-11-29 | 北京工业大学 | Pulse wave waveform reconstruction method and system based on convolution self-encoder |
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