CN104224196A - Noninvasive blood component concentration measuring method - Google Patents
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Abstract
The invention discloses a noninvasive blood component concentration measuring method. The method comprises the following steps: synchronously acquiring transmitted photoelectric plethysmographic pulse waves at finger tips under a plurality of light sources with different wavelengths within a certain period of time and taking the logarithm, so as to obtain logarithmic photoelectric plethysmographic pulse waves under multiple wavelengths; by using a time domain or frequency domain direct-current characteristic quantity and alternating-current characteristic quantity extraction method, extracting characteristic quantities of multiple wavelengths; according to a 3 sigma rule, removing the direct-current characteristic quantity and the alternating-current characteristic quantity containing gross errors, and using a mean value of the remaining direct-current characteristic quantity and alternating-current characteristic quantity as the final characteristic quantity of the photoelectric plethysmographic pulse waves; extracting characteristic quantity samples of photoelectric plethysmographic pulse waves of a certain quantity of experiment subjects, measuring true values of blood component concentration by using a biochemical analyzer and establishing a regression model of concentration and characteristic quantities of the photoelectric plethysmographic pulse waves; extracting the characteristic quantities of the photoelectric plethysmographic pulse waves of the tested subjects and calculating blood component concentration by using the regression model.
Description
Technical field
The present invention relates to a kind of method of non-invasive measurement blood component concentration, particularly relate to a kind of utilize finite number light source under the characteristic quantity of finger fingertip place transmission photoplethysmographic that records, set up the regression Calculation model of blood component concentration and characteristic quantity, predict the modeling and analysis methods of blood component concentration.
Background technology
At present, the blood oxygen saturation etc. that the blood parameters related in the research about the detection of noinvasive blood constituent reported comprises the alcohol content in blood glucose, hemoglobin and derivant thereof, RBC number, hematocrit value, bilirubin, multiple protein, blood and generally applies, mainly concentrates in the detection of blood glucose and hemoglobin.Each research group is according to the physics and chemistry characteristic of different blood constituent parameter and the performance in physiological tissue, and the detection method adopted is different, mainly can be divided into two large classes: non optical method and optical means.Non optical method has reverses iontophoresis method, hot metabolism integration method, conductivity method etc., its shortcoming is used needs and the contact human skin such as electrochemical sensor, electrode slice, can cause the sense of discomfort of measurand, and when measuring, the Individual differences such as skin, blood circumstance, body temperature makes certainty of measurement be difficult to improve; Optical means comprises: photocaustic spectroscopy, Raman spectroscopy, fluorescence method, polarized light polarimetry, optical coherence tomography, near infrared spectroscopy etc.Near-infrared spectrum technique is a kind of indirect measuring technology, based on Lambert-Beer (Lambert-Beer) law, utilizes various composition light absorption specificity to measure, and applies more at present in blood glucose, blood oxygen, hemoglobin on detecting.According to the difference of receive mode, near-infrared spectral measurement mainly can be divided into diffuse reflectance measurement and transmission measurement.Along with the development of computer technology and 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 meanss current, and part has entered surveys the experimental stage in health check-up, and the progress obtained also is the most significant.
Chinese invention patent application CN1550209A, disclose a kind of method and apparatus of non-invasive measurement blood component concentration, by applying different pressure to measurand body part, measure the transmission near infrared spectrum under different-thickness, calculate difference spectrum, then modeling analysis calculates the concentration of blood constituent, but its measuring device complex structure, and additional pressure easily makes measurand produce sense of discomfort.
Chinese invention patent application CN101507607A, disclose a kind of method of noninvasive measurement of blood spectra and composition, use the transmitted spectrum of telling spectrogrph continuous measurement measured body, Fourier's change is carried out to the pulse wave under each wavelength, the harmonic wave getting amplitude maximum sorts by wavelength, form spectrum, realize non-invasive measurement blood constituent, the method only make use of the alternating component of photoplethysmographic, contained quantity of information is limited, not enough to the ability to express of the individual variation such as thickness, skin pigment, moisture of tested part, limit the raising of certainty of measurement.
Summary of the invention
The invention provides a kind of method of non-invasive measurement blood component concentration, the invention solves and how to reduce tissue and blood scattering to the impact of spectrum Thermodynamics Law Analysts and the problem improving blood component concentration certainty of measurement, described below:
A method for 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 finger fingertip place transmission photoplethysmographic and take the logarithm, obtain 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 characteristic quantity of multi-wavelength;
According to 3 σ criterions, reject containing gross error DC characteristics amount and exchange characteristic quantity, using rejecting thick noise after DC characteristics amount and the characteristic quantity of average as final photoplethysmographic exchanging characteristic quantity;
Extract the photoplethysmographic characteristic quantity sample of some experimental subjecies, 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.
The beneficial effect of technical scheme provided by the invention is: this method only uses the of ac of logarithm photoplethysmographic signal under limited wavelength, DC quantity is that new characteristic quantity sets up regression model, the concentration of quantitative Analysis blood constituent.The of ac of transmission photoplethysmographic and DC quantity, all contain the information of tissue and blood constituent, wherein of ac mainly reflects the information of absorpting and scattering in the arterial blood of pulsation, and in DC quantity, contain absorption and scattering, the static state absorption of blood and the information of scattering of the tissue such as finger thickness, skin, compared with only utilizing of ac modeling analysis blood constituent with dynamic spectrum theory, introduce more information, add the certainty of measurement of model; Meanwhile, by studying the limited wavelength optimized, using the light emitting diode of wavelength centered by optimal wavelength can improve signal to noise ratio and the certainty of measurement of system further, improving 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 clearly, below embodiment of the present invention is described further in detail.
Tissue and blood scattering how is reduced on the impact of quantitative spectrochemical analysis and the problem of certainty of measurement improving blood component concentration in order to solve, the embodiment of the present invention provides a kind of method of non-invasive measurement blood component concentration, see Fig. 1, described below.
101: in synchronous acquisition a period of time under multiple light sources with different wavelengths finger fingertip place transmission photoplethysmographic and take the logarithm, obtain the logarithm photoplethysmographic under multi-wavelength;
Wherein, this step is specially:
The light source of multiple different wave length is the LED source that multiple centre wavelength is different, and wave-length coverage is visible ray-near infrared band;
When using multiple light emitting diode as light source, the mode of driven for emitting lights diode light-source can be that timesharing drives or sinusoidal wave frequency division drives;
Photoelectric receiving device can be the photoelectric device such as photodiode, light cell, but the sensitive wave length scope of photoelectric receiving device meets the requirement of optical source wavelength, the requirement of type of drive selected by the response speed demand fulfillment of photoelectric receiving device and associated electronics;
The modes of emplacement of light source and photoelectric receiving device and measurand finger fingertip can be transmission-type or reflective, namely measures the photoplethysmographic obtained and can derive from transmitted light intensity or diffuse-reflectance 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 the characteristic quantity of multi-wavelength;
This step specifically comprises 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 exchange Characteristic Extraction method and be, in the time domain, logarithm photoplethysmographic is carried out division section according to pulse cycle, extract peak value and the valley of logarithm photoplethysmographic in each pulse cycle, using the DC characteristics amount of the meansigma methods of peak value or peak value and valley as photoplethysmographic, the difference of peak value and valley is exchanged characteristic quantity as photoplethysmographic;
1022: the DC characteristics amount of frequency domain with exchange Characteristic Extraction method and be, in a frequency domain, get the logarithm photoplethysmographic of continuous acquisition in certain hour, adopt the Frequency domain extracting method of dynamic spectrum, Fourier transformation is done to logarithm photoplethysmographic, using the DC characteristics amount of the DC component in logarithm pulse wave frequency spectrum as photoplethysmographic, using the interchange characteristic quantity of the fundametal compoment (harmonic wave of amplitude maximum) in frequency spectrum as photoplethysmographic.
103: according to 3 σ criterions, the all DC characteristics amounts extracted with exchange in characteristic quantity reject containing gross error DC characteristics amount and exchange characteristic quantity, using rejecting thick noise after DC characteristics amount and the characteristic quantity of average as final photoplethysmographic exchanging characteristic quantity;
In measuring process, if photoplethysmographic signal sometime comprises motion artifacts or containing larger noise, can affect the accuracy that this section extracts photoplethysmographic characteristic quantity.If certain element in the intersection that forms of the characteristic quantity of the same race of each experimental subject (DC characteristics amount or exchange characteristic quantity) is more than or equal to 3 σ with the difference of the meansigma methods of intersection, then think that this element error comparatively greatly and reject, if be less than 3 σ, retains.
104: by above-mentioned steps 101-103, extract the photoplethysmographic characteristic quantity sample of some experimental subjecies, use biochemical analyzer to measure the true value of blood component concentration simultaneously, use certain modeling method, set up the regression model of concentration and photoplethysmographic characteristic quantity;
This step specifically comprises step 1041-1043, described below:
1041: the collection each experimental subject being carried out to multi-wavelength photoelectricity pulse wave, gather the blood of experimental subject simultaneously, carry out biochemical analysis, the true value of record blood component concentration;
1042: the characteristic quantity extracting the multi-wavelength photoplethysmographic of each experimental subject;
1043: using the characteristic quantity of the multi-wavelength photoplethysmographic of each experimental subject and high-order term thereof as independent variable, the true value of the blood component concentration obtained in biochemical studies is as dependent variable, use rational modeling method, the modeling methods such as such as offset minimum binary modeling, neural net model establishing, set up the corresponding relation of dependent variable and independent variable, i.e. the regression model of concentration true value and photoplethysmographic characteristic quantity.
Take characteristic quantity as independent variable be example, the regression model obtained by modeling method is as shown in formula (1):
In formula (1), c represents the concentration of certain blood constituent,
represent be the logarithm photoplethysmographic extracted under N number of wavelength DC characteristics amount d with exchange characteristic quantity a, f represents regression model function;
This method requires that the distribution of the individual variation such as finger thickness, the colour of skin, age of test subjects is in extensive range as far as possible, and model so just can be made fully to comprise various individual variation, and increasing uses a model calculates the accuracy of blood component concentration;
The blood component concentration distribution of test subjects should meet medical statistics requirement, could meet the requirement that human body physiological parameter is measured, and increases the accuracy that model calculates blood component concentration.
105: when measuring, according to above-mentioned steps 101-103, extract the photoplethysmographic characteristic quantity of measurand, utilize the regression model in step 104 to calculate the concentration of blood constituent.
The logarithm operation be applied in the embodiment of the present invention, Fourier transformation, offset minimum binary modeling, neural net model establishing, 3 σ decision criterias are the known technology in data processing method, and for this area, engineers and technicians are known.
In sum, embodiments provide a kind of method of non-invasive measurement blood component concentration, the of ac, the DC quantity that only use logarithm photoplethysmographic signal under limited quantity wavelength are that new characteristic quantity and high-order term thereof carry out modeling, introduce the information of light scattering, certainty of measurement is improved further compared with traditional method, compensate for the non-linear effects that scattering brings to a certain extent.
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, does not represent the quality of embodiment.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (4)
1. a method for non-invasive measurement blood component concentration, is characterized in that, said method comprising the steps of:
In synchronous acquisition a period of time under multiple light sources with different wavelengths finger fingertip place transmission photoplethysmographic and take the logarithm, obtain 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 containing gross error DC characteristics amount and exchange characteristic quantity, using rejecting thick noise after DC characteristics amount and the characteristic quantity of average as final photoplethysmographic exchanging characteristic quantity;
Extract the photoplethysmographic characteristic quantity sample of some experimental subjecies, use biochemical analyzer to measure the true value of blood component concentration simultaneously, set up the regression model of concentration and photoplethysmographic characteristic quantity;
When using regression model to predict, extracting the photoplethysmographic characteristic quantity of measurand, utilizing regression model to calculate the concentration of blood constituent.
2. the method for a kind of non-invasive measurement blood component concentration according to claim 1, is characterized in that, described time domain multi-wavelength DC characteristics amount is specially with the extracting method exchanging characteristic quantity:
In the time domain, logarithm photoplethysmographic is carried out division section according to pulse cycle, extract peak value and the valley of logarithm photoplethysmographic in each pulse cycle, using the DC characteristics amount of the meansigma methods of peak value or peak value and valley as photoplethysmographic, the difference of peak value and valley is exchanged characteristic quantity as photoplethysmographic.
3. the method for a kind of non-invasive measurement blood component concentration according to claim 1, is characterized in that, described frequency domain multi-wavelength DC characteristics amount is specially with the extracting method exchanging characteristic quantity:
In a frequency domain, get the logarithm photoplethysmographic of continuous acquisition in certain hour, adopt the Frequency domain extracting method of dynamic spectrum, Fourier transformation is done to logarithm photoplethysmographic, using the DC characteristics amount of the DC component in logarithm pulse wave frequency spectrum as photoplethysmographic, using the interchange characteristic quantity of the fundametal compoment in frequency spectrum as photoplethysmographic.
4. the method for a kind of non-invasive measurement blood component concentration according to claim 1, it is characterized in that, the photoplethysmographic characteristic quantity sample of described extraction some experimental subjecies, use biochemical analyzer to measure the true value of blood component concentration, the regression model setting up concentration and photoplethysmographic characteristic quantity is specially simultaneously:
Each experimental subject is carried out to the collection of multi-wavelength photoelectricity pulse wave, gather the blood of experimental subject simultaneously, carry out biochemical analysis, the true value of record blood component concentration;
Extract the characteristic quantity of the multi-wavelength photoplethysmographic of each experimental subject;
Using the characteristic quantity of the multi-wavelength photoplethysmographic of each experimental subject and high-order term thereof as independent variable, the true value of the dynamic blood component concentration obtained in biochemical studies, as dependent variable, sets up the regression model of concentration true value and photoplethysmographic characteristic quantity.
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| CN105354445A (en) * | 2015-11-17 | 2016-02-24 | 南昌大学第二附属医院 | Blood marker-based intelligent recognition system for artificial neural network |
| CN105942982A (en) * | 2016-06-01 | 2016-09-21 | 何雷 | Tumor predictor based on dynamic spectra |
| CN107167441A (en) * | 2017-07-02 | 2017-09-15 | 广东技术师范学院 | The method that double light path and multiposition modulated light sources measure complicated solution component content |
| CN107157492A (en) * | 2017-05-19 | 2017-09-15 | 国家电网公司 | A kind of embedded human physiologic information non-invasive detection system and data processing method |
| CN107179284A (en) * | 2017-07-02 | 2017-09-19 | 广东技术师范学院 | The method of double packed complicated solution component contents of optical path modulation light source measurement |
| CN107198530A (en) * | 2017-07-20 | 2017-09-26 | 上海理工大学 | Optoelectronic information time domain related noninvasive blood parameters monitoring system and method |
| CN107198528A (en) * | 2017-06-30 | 2017-09-26 | 舒糖讯息科技（深圳）有限公司 | A kind of blood sugar concentration detection means and its detection method |
| CN107290317A (en) * | 2017-07-02 | 2017-10-24 | 广东技术师范学院 | The method that double optical path modulation fluorescence excitation light sources measure packed complicated solution composition |
| CN107290291A (en) * | 2017-07-02 | 2017-10-24 | 广东技术师范学院 | The method that double optical path modulation transmissions and fluorescence excitation light source measure complicated solution composition |
| CN107569237A (en) * | 2017-09-14 | 2018-01-12 | 天津科技大学 | The measuring method and device of Non-invasive detection hemoglobin level |
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| CN114343627A (en) * | 2022-01-13 | 2022-04-15 | 湖南龙罡智能科技有限公司 | Operation layout method for noninvasive blood component detection sensor group |
| CN114366090A (en) * | 2022-01-13 | 2022-04-19 | 湖南龙罡智能科技有限公司 | Blood component detection method integrating multiple measurement mechanisms |
| CN114343627B (en) * | 2022-01-13 | 2023-10-20 | 湖南龙罡智能科技有限公司 | Operation layout method for noninvasive blood component detection sensor group |
| CN114366090B (en) * | 2022-01-13 | 2024-02-02 | 湖南龙罡智能科技有限公司 | Blood component verification method integrating multiple measurement mechanisms |
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