CN104224196B - The method of non-invasive measurement blood component concentration - Google Patents
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Abstract
A kind of method that the invention discloses non-invasive measurement blood component concentration, described method includes: transmission photoplethysmographic at finger fingertip taking the logarithm under multiple light sources with different wavelengths in synchronous acquisition a period of time, obtains the logarithm photoplethysmographic under multi-wavelength；Utilize the DC characteristics amount of time domain or frequency domain and the extracting method exchanging characteristic quantity, extract the characteristic quantity of multi-wavelength；According to 3 σ criterions, reject the DC characteristics amount containing gross error and exchange characteristic quantity, using the DC characteristics amount after the thick noise of rejecting and the average exchanging characteristic quantity as the characteristic quantity of final photoplethysmographic；Extract the photoplethysmographic characteristic quantity sample of some experimental subjects, use biochemical analyzer to measure the true value of blood component concentration simultaneously, set up the regression model of concentration and photoplethysmographic characteristic quantity；Extract the photoplethysmographic characteristic quantity of measurand, utilize regression model to calculate the concentration of blood constituent.
Description
Technical field
A kind of method that the present invention relates to non-invasive measurement blood component concentration, particularly relates to one and utilizes survey under finite number light source
The characteristic quantity of transmission photoplethysmographic at the finger fingertip obtained, sets up the recurrence calculating mould of blood component concentration and characteristic quantity
Type, predicts the modeling and analysis methods of blood component concentration.
Background technology
At present, the blood parameters related in the research detected about noninvasive blood constituent reported includes blood sugar, blood red egg
Alcohol content in its derivative of bletilla, red blood cell number, hematocrit value, bilirubin, multiple protein, blood and universal
The blood oxygen saturation etc. of application, is concentrated mainly in the detection of blood sugar and hemoglobin.Each research group becomes according to different blood
The physics of point parameter and chemical characteristic and the performance in physiological tissue, the detection method used is different, can be largely classified into
Two big classes: non optical method and optical means.Non optical method has reverses iontophoresis method, hot metabolism integration method, electrical conductivity
Methods etc., its shortcoming is needs and the contact human skin such as used electrochemical sensor, electrode slice, and it is tested right to cause
The sense of discomfort of elephant, and when measuring, the Individual differences such as skin, blood circumstance, body temperature makes certainty of measurement be difficult to carry
High；Optical means includes: photocaustic spectroscopy, Raman spectroscopy, fluorescence method, polarised light polarimetry, optical coherence tomography become
As method, near infrared spectroscopy etc..Near-infrared spectrum technique is a kind of indirect measuring technology, with Lambert-Beer (Lambert-Beer)
Based on law, utilize various one-tenth light splitting to absorb and specifically measure, at present should in blood sugar, blood oxygen, hemoglobin detection
With more.According to the difference of the mode of reception, near-infrared spectral measurement can be largely classified into diffusing reflection measurement and transmission measurement.With
Computer technology and the development of stoichiometry theory, the sensitivity of Near-Infrared Spectra for Quantitative Analysis, accuracy and reliability
All improve a lot.Near infrared spectroscopy becomes topmost research method in these optical means current, and part has been enter into
The experimental stage is surveyed in health check-up, and the progress of acquirement is also the most significant.
Chinese invention patent application CN1550209A, the method and apparatus disclosing a kind of non-invasive measurement blood component concentration,
By measurand body part is applied different pressure, measure the transmission near infrared spectrum under different-thickness, be calculated
Difference spectrum, then modeling analysis calculates the concentration of blood constituent, but its measurement apparatus structure is complicated, and additional pressure
Measurand is easily made to produce sense of discomfort.
Chinese invention patent application CN101507607A, a kind of method disclosing noninvasive measurement of blood spectra and composition, make
With telling that the transmitted spectrum of measured body measured continuously by spectrometer, the pulse wave under each wavelength is carried out Fourier's change, takes width
Wavelength sequence pressed by the harmonic wave of value maximum, forms spectrum, it is achieved non-invasive measurement blood constituent, the method is merely with photoelectricity volume
The alternating component of pulse wave, information contained amount is limited, to individual differences such as the thickness of tested part, skin pigment, moistures
Different ability to express is not enough, limits the raising of certainty of measurement.
Summary of the invention
A kind of method that the invention provides non-invasive measurement blood component concentration, the present invention solve how to reduce tissue and
Blood scatters the impact on spectrum Thermodynamics Law Analysts and improves the problem of blood component concentration certainty of measurement, described below:
A kind of method of non-invasive measurement blood component concentration, said method comprising the steps of:
In synchronous acquisition a period of time under multiple light sources with different wavelengths transmission photoplethysmographic at finger fingertip and take right
Number, obtains the logarithm photoplethysmographic under multi-wavelength；
Utilize the multi-wavelength DC characteristics amount of time domain or frequency domain and the extracting method exchanging characteristic quantity, extract the feature of multi-wavelength
Amount；
According to 3 σ criterions, reject the DC characteristics amount containing gross error and exchange characteristic quantity, after the thick noise of rejecting
DC characteristics amount and the average exchanging characteristic quantity are as the characteristic quantity of final photoplethysmographic；
Extract the photoplethysmographic characteristic quantity sample of some experimental subjects, use biochemical analyzer to measure blood simultaneously
The true value of liquid constituent concentration, sets up the regression model of concentration and photoplethysmographic characteristic quantity；
Extract the photoplethysmographic characteristic quantity of measurand, utilize regression model to calculate the concentration of blood constituent.
The technical scheme that the present invention provides provides the benefit that: this method only uses logarithm photoplethysmographic under limited wavelength
The characteristic quantity that the of ac of signal, DC quantity are new sets up regression model, quantitatively calculates the concentration of blood constituent.Transmission photoelectricity
The of ac of volume pulsation wave and DC quantity, all contain the information of tissue and blood constituent, and wherein of ac is the most anti-
Reflect the information of absorpting and scattering in the arterial blood of pulsation, and DC quantity has contained the suction of the tissue such as finger thickness, skin
Receive and scattering, the static of blood absorb and the information of scattering, become merely with of ac modeling analysis blood with dynamic spectrum theory
Split-phase ratio, introduces more information, adds the certainty of measurement of model；Meanwhile, the limited wavelength preferably gone out by research,
Use the light emitting diode of wavelength centered by optimal wavelength can improve signal to noise ratio and the certainty of measurement of system further, improve
The quantitative analysis ability of model.
Accompanying drawing explanation
Fig. 1 is the flow chart of non-invasive measurement blood component concentration method
Detailed description of the invention
For making the object, technical solutions and advantages of the present invention clearer, below embodiment of the present invention is made the most detailed
Thin description.
In order to solve how to reduce tissue and blood scattering, on the impact of quantitative spectrochemical analysis and to improve blood constituent dense
The problem of the certainty of measurement of degree, the embodiment of the present invention provides a kind of method of non-invasive measurement blood component concentration, sees Fig. 1,
Described below.
101: in synchronous acquisition a period of time, under multiple light sources with different wavelengths, transmission photoplethysmographic at finger fingertip is also
Take the logarithm, obtain the logarithm photoplethysmographic under multi-wavelength；
Wherein, this step particularly as follows:
The light source of multiple different wave lengths is the LED source that multiple centre wavelength is different, and wave-length coverage is visible ray-the reddest
Outer wave band；
When using multiple light emitting diode as light source, drive LED source mode can be timesharing drive or just
String wavelength-division frequency drives；
Photoelectric receiving device can be the photoelectric device such as photodiode, photocell, but the sensitive wave length model of photoelectric receiving device
The response speed enclosing the requirement meeting optical source wavelength, photoelectric receiving device and associated electronics needs to meet selected type of drive
Requirement；
Light source and photoelectric receiving device and the modes of emplacement of measurand finger fingertip can be transmission-types or reflective, i.e. survey
The photoplethysmographic measured can derive from transmitted light intensity or diffusing reflection light intensity；
Photoplethysmographic under the multiple wavelength collected is taken the logarithm, obtains logarithm photoplethysmographic.
102: utilize the multi-wavelength DC characteristics amount of time domain or frequency domain and the extracting method exchanging characteristic quantity, extract multi-wavelength
Characteristic quantity；
This step specifically includes the multi-wavelength DC characteristics amount of time domain and frequency domain and the extracting method exchanging characteristic quantity, refers to step
1021-1022:
1021: the DC characteristics amount of time domain with exchanging Characteristic Extraction method is, in the time domain, by logarithm photoelectricity volume pulsation
Ripple carries out dividing section according to pulse cycle, extracts peak value and the paddy of logarithm photoplethysmographic in each pulse cycle
Value, using the mean value of peak value or peak value and valley as the DC characteristics amount of photoplethysmographic, by peak value and valley
Difference is as the exchange characteristic quantity of photoplethysmographic；
1022: the DC characteristics amount of frequency domain with exchanging Characteristic Extraction method is, in a frequency domain, adopts continuously in taking certain time
The logarithm photoplethysmographic of collection, uses the Frequency domain extracting method of dynamic spectrum, logarithm photoplethysmographic is Fourier
Conversion, using the DC component in logarithm pulse wave frequency spectrum as the DC characteristics amount of photoplethysmographic, by the base in frequency spectrum
Wave component (harmonic wave of amplitude maximum) is as the exchange characteristic quantity of photoplethysmographic.
103: according to 3 σ criterions, reject containing gross error with exchanging in characteristic quantity in all DC characteristics amounts extracted
DC characteristics amount with exchange characteristic quantity, using the DC characteristics amount after thick noise of rejecting with the average exchanging characteristic quantity as finally
The characteristic quantity of photoplethysmographic；
During measurement, if photoplethysmographic signal sometime comprises motion artifacts or containing bigger noise, meeting
Affect this section and extract the accuracy of photoplethysmographic characteristic quantity.If the characteristic quantity (DC characteristics of the same race of each experimental subjects
Amount or exchange characteristic quantity) difference of certain element in the intersection that forms and the mean value of intersection is more than or equal to 3 σ, then it is assumed that should
Element error is relatively big and rejects, if less than 3 σ, retaining.
104: by above-mentioned steps 101-103, extract the photoplethysmographic characteristic quantity sample of some experimental subjects, with
Time use biochemical analyzer to measure the true value of blood component concentration, use certain modeling method, set up concentration and photoelectricity volume
The regression model of pulse wave characteristic quantity；
This step specifically includes step 1041-1043, described below:
1041: each experimental subjects is carried out the collection of multi-wavelength photoelectricity pulse wave, gathers the blood of experimental subjects simultaneously, enter
Row biochemical analysis, the true value of record blood component concentration；
1042: extract the characteristic quantity of the multi-wavelength photoplethysmographic of each experimental subjects；
1043: using the characteristic quantity of the multi-wavelength photoplethysmographic of each experimental subjects and high-order term thereof as independent variable, raw
The true value of the blood component concentration obtained in fractional analysis result, as dependent variable, uses rational modeling method, the most minimum
Two take advantage of the modeling methods such as modeling, neural net model establishing, set up the corresponding relation of dependent variable and independent variable, i.e. concentration true value and light
The regression model of Power Capacity pulse wave characteristic quantity.
As a example by characteristic quantity is as independent variable, by shown in the regression model such as formula (1) that modeling method obtains:
In formula (1), c represents the concentration of certain blood constituent,Represent is N number of
Under wavelength extract logarithm photoplethysmographic DC characteristics amount d with exchange characteristic quantity a, f represents regression model function；
Process require that the individual difference distributions such as the finger thickness of test subjects, the colour of skin, age are the most in extensive range,
Model the most just can be made fully to comprise various individual difference, increase the accuracy using model to calculate blood component concentration；
The blood component concentration distribution of test subjects should comply with medical statistics requirement, could meet Human Physiology ginseng
The requirement that number is measured, increases model and calculates the accuracy of blood component concentration.
105: when measuring, according to above-mentioned steps 101-103, extract the photoplethysmographic characteristic quantity of measurand, profit
The concentration of blood constituent is calculated with the regression model in step 104.
The modeling of the logarithm operation that is applied in the embodiment of the present invention, Fourier transformation, offset minimum binary, neural net model establishing,
The known technology that 3 σ decision criterias are in data processing method, well known to the engineers and technicians of this area.
In sum, a kind of method embodiments providing non-invasive measurement blood component concentration, only use limited quantity
The of ac of logarithm photoplethysmographic signal under wavelength, DC quantity are new characteristic quantity and high-order term is modeled, and draw
Having entered the information of light scattering, certainty of measurement is improved compared with conventional method further, compensate for scattering to a certain extent
The non-linear effects brought.
It will be appreciated by those skilled in the art that accompanying drawing is the schematic diagram of a preferred embodiment, the invention described above embodiment sequence number
Just to describing, do not represent the quality of embodiment.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all in the spirit and principles in the present invention
Within, any modification, equivalent substitution and improvement etc. made, should be included within the scope of the present invention.
Claims (1)
1. the method for a non-invasive measurement blood component concentration, it is characterised in that said method comprising the steps of:
In synchronous acquisition a period of time under multiple light sources with different wavelengths transmission photoplethysmographic at finger fingertip and take right
Number, obtains the logarithm photoplethysmographic under multi-wavelength；
Utilize the DC characteristics amount of time domain or frequency domain and the extracting method exchanging characteristic quantity, extract the characteristic quantity of multi-wavelength；
According to 3 σ criterions, reject the DC characteristics amount containing gross error and exchange characteristic quantity, after the thick noise of rejecting
DC characteristics amount and the average exchanging characteristic quantity are as the characteristic quantity of final photoplethysmographic；
Extract the photoplethysmographic characteristic quantity sample of some experimental subjects, use biochemical analyzer to measure blood simultaneously
The true value of liquid constituent concentration, sets up the regression model of concentration and photoplethysmographic characteristic quantity；
When using regression model to be predicted, extract the photoplethysmographic characteristic quantity of measurand, utilize regression model
Calculate the concentration of blood constituent；
Wherein, described time domain multi-wavelength DC characteristics amount with the extracting method exchanging characteristic quantity particularly as follows:
In the time domain, carry out dividing section according to pulse cycle by logarithm photoplethysmographic, extract each pulse cycle
The peak value of middle logarithm photoplethysmographic and valley, using the mean value of peak value or peak value and valley as photoelectricity volume pulsation
The DC characteristics amount of ripple, exchanges characteristic quantity using the difference of peak value and valley as photoplethysmographic；
Wherein, described frequency domain multi-wavelength DC characteristics amount with the extracting method exchanging characteristic quantity particularly as follows:
In a frequency domain, take the logarithm photoplethysmographic of continuous acquisition in certain time, use the frequency domain extraction of dynamic spectrum
Method, does Fourier transformation to logarithm photoplethysmographic, using the DC component in logarithm pulse wave frequency spectrum as photoelectricity volume
The DC characteristics amount of pulse wave, using the fundametal compoment in frequency spectrum as the exchange characteristic quantity of photoplethysmographic；
Wherein, the photoplethysmographic characteristic quantity sample of described extraction some experimental subjects, use biochemical analysis simultaneously
The true value of apparatus measures blood component concentration, set up the regression model of concentration and photoplethysmographic characteristic quantity particularly as follows:
Each experimental subjects is carried out the collection of multi-wavelength photoelectricity pulse wave, gathers the blood of experimental subjects simultaneously, carry out biochemistry
Analyze, the true value of record blood component concentration；
Extract the characteristic quantity of the multi-wavelength photoplethysmographic of each experimental subjects；
Using the characteristic quantity of the multi-wavelength photoplethysmographic of each experimental subjects and high-order term thereof as independent variable, biochemical analysis
The true value of the dynamic blood component concentration obtained in result, as dependent variable, sets up concentration true value and photoplethysmographic characteristic quantity
Regression model.
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