CN114366090B - Blood component verification method integrating multiple measurement mechanisms - Google Patents
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Abstract
The blood component verification method integrating multiple measurement mechanisms comprises the following steps: presetting parameters to be measured: determining components to be detected, selecting a detection spectrum for blood detection, and selecting a sensor group for receiving and transmitting light wave signals by using the detection spectrum; laying out a sensor group, determining a collection mode of signal data, and obtaining pulse fluctuation signals after light wave signals pass through tissues; signal waveform conversion: converting the sensitive and insensitive absorption conditions of the components to be detected in the projection of the light wavelength into corresponding pulse wave waveforms; establishing a mathematical calculation model of blood components, taking pulse wave waveforms as model features to be input, then extracting numerical values represented by the pulse wave waveforms, carrying out quantitative analysis training on the numerical values, and calculating the numerical values of the components to be detected. According to the technical scheme, the blood component concentration value of the tested person can be conveniently and rapidly acquired, accurate calculation data can be ensured to be obtained, and accurate data preconditions are provided for subsequent test calculation.
Description
Technical Field
The present application relates to the field of blood component detection technology, and more particularly, to a blood component assay method integrating multiple measurement mechanisms.
Background
According to the statistics of world health organization, at least about 5 blood tests are carried out on average every person in the world each year, and most tests are blood routine tests of general infection, blood lipid tests of three high people and blood sugar tests of diabetics. Substantially all tests require a medical institution to withdraw venous/arterial blood or to take finger tip blood for biochemical tests. Among them, the common diseases such as common cold in infants are basically checked for blood routine as long as they are in hospitals because they cannot fully express their symptoms and processes. For more than 4.2 million diabetics worldwide, and for 1000 tens of thousands of new patients each year, both moderate and severe diabetics need daily blood glucose monitoring. The current monitoring method is to collect fingertip blood by needle insertion and test; often, the year round test will not find that finger is intact. Thus, research applications for non-invasive blood testing are of great advantage.
At present, no accepted noninvasive blood component detection method exists in the existing market, the root cause of the method is that the complexity of the human body environment is far beyond the environment which can be simulated by a laboratory, the acquired data has deviation, and in the test calculation after the data acquisition, the follow-up test result cannot be accepted because correct, comprehensive, easy-to-use and standardized basic calculation data cannot be obtained. Currently, the invention patent of application number 2021115083685 discloses a sensor group for noninvasive blood component detection, which can rapidly collect blood component data by using a specific sensor group, but does not provide a complete method for blood detection based on the collected data in the disclosure; in actual blood component measurement, even if accurate data is used as a premise, the finally obtained blood component data has a large error if the accurate measurement method is not available.
Therefore, how to provide a blood component verification method integrating multiple measurement mechanisms, which can collect the signal data of the blood component of the tested person conveniently and rapidly, and analyze and detect the signal data, so that accurate and standardized blood component values can be obtained, has become a technical problem to be solved by those skilled in the art.
Disclosure of Invention
In order to solve the technical problems, the application provides a blood component verification method and a system integrating multiple measurement mechanisms, which can be used for conveniently and rapidly collecting blood component signal data of a tested person and analyzing and detecting according to the signal data so as to obtain accurate and standardized blood component values.
The technical scheme of the application is as follows:
the application provides a blood component verification method integrating multiple measurement mechanisms, which comprises the following steps: s1, presetting parameters to be measured: determining the components to be detected in the blood composition according to the detection requirement; s2, presetting detection conditions: selecting a detection spectrum for blood detection according to the selected component to be detected, and selecting a sensor group applying the detection spectrum to transmit and receive light wave signals based on resonance sensitive absorption and a drastic absorption condition of the component to be detected to the wavelength of the detection spectrum; s3, a layout sensor group: according to the resonance absorption condition of the sensor group to the spectrum wavelength, the sensor group is arranged at a part to be detected, and the installation positions and the response sequence of an emission sensor, a transmission receiving sensor and a reflection receiving sensor in the sensor group are determined; s4, acquiring signal data: determining a signal data acquisition mode according to the installation positions of the transmitting sensor and the receiving sensor, and acquiring pulse fluctuation signals of the light wave signals after the light wave signals pass through human tissues; s5, signal waveform conversion: converting an optical path measurement signal obtained based on the sensitive absorption wavelength and the inspired absorption wavelength of the component to be detected in the pulse fluctuation signal into a visual pulse waveform, namely converting the sensitive absorption and inspired absorption conditions projected by the component to be detected on the optical wavelength into corresponding pulse wave waveforms; the pulse wave waveform comprises a sensitive pulse wave and a feeling pulse wave; s6, calculating model data: establishing a mathematical calculation model of blood components, inputting the pulse wave waveform as model characteristics, extracting the numerical value represented by the pulse wave waveform, performing quantitative analysis training on the numerical value, and calculating the numerical value of the component to be detected in the blood components.
Further, in a preferred mode of the present invention, in the step S2, the detection spectrum includes a near infrared spectrum.
Further, in a preferred mode of the present invention, in the step S2, the component to be measured has a specific resonance absorption condition for the near infrared spectrum; the resonance absorption condition includes:
the sensitive absorption wavelength of glucose in blood to the near infrared spectrum is 1200 nm-1300 nm;
the sensitive absorption wavelength of the water molecules to the near infrared spectrum is 1400 nm-1600 nm;
the sensitive washing wavelength of the hemoglobin to the near infrared spectrum comprises 600 nm-700 nm and 900 nm-1000 nm.
Further, in a preferred mode of the present invention, in the step S4, the signal data acquisition mode includes:
the detection spectrum transmission acquisition mode specifically comprises the following steps: configuring a plurality of transmitting sensors and transmitting and receiving sensors, arranging the transmitting sensors and the receiving sensors in a pairwise manner, and placing a part to be detected of a human body between the two sensors; the transmitting sensor is controlled to be sequentially started in unit time, photoelectric signals pass through the part to be detected of the human body and are sensitively absorbed by the components to be detected in blood, and the transmitting and receiving sensor correspondingly acquires pulse wave waveforms generated after the photoelectric signals are transmitted through the part to be detected of the human body.
Further, in a preferred mode of the present invention, the signal data acquisition mode further includes:
the detection spectrum reflection acquisition mode specifically comprises the following steps: configuring a plurality of transmitting sensors and reflecting receiving sensors, wherein 1 transmitting sensor is matched with 2 reflecting receiving sensors, the transmitting sensors, the reflecting receiving sensors and the reflecting receiving sensors are arranged in parallel and side by side, and the transmitting sensors are arranged between the reflecting receiving sensors;
the transmitting sensor is controlled to be sequentially started in unit time, photoelectric signals pass through the part to be detected of the human body and are sensitively absorbed by the components to be detected in blood, and the reflecting receiving sensor correspondingly collects pulse wave waveforms generated by the photoelectric signals reflected by the part to be detected of the human body.
Further, in a preferred mode of the present invention, the signal data acquisition mode further includes:
the integrated acquisition mode specifically comprises the following steps: configuring a plurality of transmitting sensors, transmitting and receiving sensors and reflecting and receiving sensors, wherein 1 transmitting sensor is matched with 1 transmitting and receiving sensor and 2 reflecting and receiving sensors, the transmitting sensors and the transmitting and receiving sensors are arranged oppositely, and the transmitting sensors and the reflecting and receiving sensors are arranged in parallel and side by side;
the transmitting sensor is controlled to be sequentially started in unit time, photoelectric signals pass through a part to be detected of a human body and are sensitively absorbed by the components to be detected in blood, and the transmitting receiving sensor and the reflecting receiving sensor respectively receive transmission pulse wave waveforms and reflection pulse wave waveforms generated after the photoelectric signals pass through the part to be detected and pass through the part to be detected;
and combining the transmitted pulse wave waveform and the reflected pulse wave waveform to obtain the pulse wave waveform required by final subsequent calculation.
Further, in a preferred mode of the present invention, in the step S4, the signal data acquisition module is specifically one or more of the detection spectrum transmission acquisition mode, the detection spectrum reflection acquisition mode, and the integrated acquisition mode.
Further, in a preferred mode of the present invention, in the step S5, the signal waveform conversion further includes:
pulse waveform correction: and taking the pulse wave of the sense of the break obtained by the absorption and conversion of the component to be detected as background data, and carrying out waveform correction on the sensitive pulse wave to obtain accurate waveform data.
Further, in a preferred mode of the present invention, in the step S6, the step of calculating the model data specifically includes:
s601, extracting training sample data: taking pulse wave waveforms of the components to be detected for determining the values of the blood components, and extracting information data represented by the pulse wave waveforms;
s602, building a training model: establishing a blood component mathematical calculation model, inputting component values determined by the components to be detected and information data represented by pulse wave waveforms corresponding to the component values as characteristic inputs, and inputting the characteristic inputs into the blood component mathematical calculation model for training to obtain a training sample set;
s603, extracting experimental sample data: the method comprises the steps of obtaining the pulse wave waveform corresponding to a component to be detected preset in blood component verification by utilizing the sensor group, extracting information data represented by the pulse wave waveform to serve as an experimental sample set, and inputting the experimental sample set into a blood component mathematical model for sample training analysis;
s604, acquiring an experimental sample training result: and the blood component mathematical calculation model performs data analysis on the experimental sample set according to the analysis logic of the training sample set, and analyzes and calculates the numerical value of the component to be detected based on the information data represented by the pulse wave waveform.
Further, in a preferred mode of the present invention, the method for extracting information data represented by the pulse wave waveform includes: curve tracking or waveform scanning.
Compared with the prior art, the blood component verification method integrating various measurement mechanisms provided by the invention comprises the following steps of: s1, presetting parameters to be measured: determining the components to be detected in the blood composition according to the detection requirement; s2, presetting detection conditions: selecting a detection spectrum for blood detection according to the selected component to be detected, and selecting a sensor group applying the detection spectrum to transmit and receive light wave signals based on resonance sensitive absorption and a drastic absorption condition of the component to be detected to the wavelength of the detection spectrum; s3, a layout sensor group: according to the resonance absorption condition of the sensor group to the spectrum wavelength, the sensor group is arranged at a part to be detected, and the installation positions and the response sequence of an emission sensor, a transmission receiving sensor and a reflection receiving sensor in the sensor group are determined; s4, acquiring signal data: determining a signal data acquisition mode according to the installation positions of the transmitting sensor and the receiving sensor, and acquiring pulse fluctuation signals of the light wave signals after the light wave signals pass through human tissues; s5, signal waveform conversion: converting an optical path measurement signal obtained based on the sensitive absorption wavelength and the inspired absorption wavelength of the component to be detected in the pulse fluctuation signal into a visual pulse waveform, namely converting the sensitive absorption and inspired absorption conditions projected by the component to be detected on the optical wavelength into corresponding pulse wave waveforms; the pulse wave waveform comprises a sensitive pulse wave and a feeling pulse wave; s6, calculating model data: establishing a mathematical calculation model of blood components, inputting the pulse wave waveform as model characteristics, extracting the numerical value represented by the pulse wave waveform, performing quantitative analysis training on the numerical value, and calculating the numerical value of the component to be detected in the blood components. The invention discloses a blood component verification method integrating multiple measurement mechanisms, which is based on the fact that substance molecules of different components in blood have strong resonance absorption phenomena on specific wavelength signals in different detection spectrums, and the sensor group is used for integrating detection spectrum transmission, detection spectrum reflection and transmission and reflection combined data acquisition modes to acquire pulse wave waveforms formed after photoelectric signals are transmitted and reflected in human tissues, and the curve tracking method or the waveform scanning method is used for extracting information data in the pulse wave waveforms to ensure that accurate data calculation preconditions can be acquired; and then establishing a mathematical calculation model of the blood component, training a sample by utilizing the data of the component to be detected with the determined component value and the pulse wave waveform corresponding to the data, training a model data analysis logic, and calculating and analyzing the value of the component to be detected according to the analysis logic by inputting experimental sample data into the mathematical calculation model of the blood component. Compared with the prior art, the sensor group can conveniently and rapidly collect the blood component signal data of the tested person, and analyze and detect the blood component signal data, so that accurate and standardized blood component values can be obtained.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a block flow diagram of steps in a method for calibrating blood components integrating multiple measurement mechanisms according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the operation of the detection spectrum transmission acquisition mode according to the embodiment of the present invention;
FIG. 3 is a schematic diagram of the operation of the detection spectral reflectance collection mode provided by the embodiment of the invention;
FIG. 4 is a schematic diagram of the operation of the integrated acquisition mode provided by the embodiment of the present invention;
fig. 5 is a flowchart of the steps of calculating the model data according to an embodiment of the present invention.
Reference numerals illustrate:
an emission sensor 1; a transmission reception sensor 2; the reflection receiving sensor 3.
Detailed Description
In order to better understand the technical solutions in the present application, the following description will clearly and completely describe the technical solutions in the embodiments of the present application in conjunction with the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
It will be understood that when an element is referred to as being "fixed" or "disposed" on another element, it can be directly on the other element or be indirectly on the other element; when an element is referred to as being "connected to" another element, it can be directly connected to the other element or be indirectly connected to the other element.
It is to be understood that the terms "length," "width," "upper," "lower," "front," "rear," "first," "second," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate or are based on the orientation or positional relationship shown in the drawings, merely to facilitate description of the present application and simplify description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be configured and operated in a particular orientation, and therefore should not be construed as limiting the present application.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, the meaning of "a plurality" or "a number" is two or more, unless explicitly defined otherwise.
It should be understood that the structures, proportions, sizes, etc. shown in the drawings are for illustration purposes only and should not be construed as limiting the scope of the present disclosure, since any structural modifications, proportional changes, or dimensional adjustments made by those skilled in the art should not be made in the present disclosure without affecting the efficacy or achievement of the present disclosure.
As shown in fig. 1 to 5, the method for detecting blood components integrating multiple measurement mechanisms provided by the invention comprises the following steps: s1, presetting parameters to be measured: determining the components to be detected in the blood composition according to the detection requirement; s2, presetting detection conditions: selecting a detection spectrum for blood detection according to the selected component to be detected, and selecting a sensor group applying the detection spectrum to transmit and receive light wave signals based on resonance sensitive absorption and a drastic absorption condition of the component to be detected to the wavelength of the detection spectrum; s3, a layout sensor group: according to the resonance absorption condition of the sensor group to the spectrum wavelength, the sensor group is arranged at a part to be detected, and the installation positions and the response sequence of the transmitting sensor 1 and the transmitting and reflecting receiving sensor 3 in the sensor group are determined; s4, acquiring signal data: determining a signal data acquisition mode according to the installation positions of the transmitting sensor 1 and the receiving sensor, and acquiring a pulse fluctuation signal after the light wave signal passes through human tissues; s5, signal waveform conversion: converting an optical path measurement signal obtained based on the sensitive absorption wavelength and the inspired absorption wavelength of the component to be detected in the pulse fluctuation signal into a visual pulse waveform, namely converting the sensitive absorption and inspired absorption conditions projected by the component to be detected on the optical wavelength into corresponding pulse wave waveforms; the pulse wave waveform comprises a sensitive pulse wave and a feeling pulse wave; s6, calculating model data: establishing a mathematical calculation model of blood components, inputting the pulse wave waveform as model characteristics, extracting the numerical value represented by the pulse wave waveform, performing quantitative analysis training on the numerical value, and calculating the numerical value of the component to be detected in the blood components. The invention discloses a blood component verification method integrating multiple measurement mechanisms, which is based on the fact that substance molecules of different components in blood have strong resonance absorption phenomena on specific wavelength signals in different detection spectrums, and the sensor group is used for integrating detection spectrum transmission, detection spectrum reflection and transmission and reflection combined data acquisition modes to acquire pulse wave waveforms formed after photoelectric signals are transmitted and reflected in human tissues, and the curve tracking method or the waveform scanning method is used for extracting information data in the pulse wave waveforms to ensure that accurate data calculation preconditions can be acquired; and then establishing a mathematical calculation model of the blood component, training a sample by utilizing the data of the component to be detected with the determined component value and the pulse wave waveform corresponding to the data, training a model data analysis logic, and calculating and analyzing the value of the component to be detected according to the analysis logic by inputting experimental sample data into the mathematical calculation model of the blood component. Compared with the prior art, the sensor group can conveniently and rapidly collect the blood component signal data of the tested person, and analyze and detect the blood component signal data, so that accurate and standardized blood component values can be obtained.
The application discloses a blood component verification method integrating multiple measurement mechanisms, which specifically comprises the following steps: s1, presetting parameters to be measured: and determining the components to be detected in the blood composition according to the detection requirement.
Among the blood components, the composition includes: glucose, water, hemoglobin, plasma, etc., different compositions differ in the resonance absorption of specific wavelength signals in different detection spectra.
S2, presetting detection conditions: according to the selected components to be detected, a detection spectrum for blood detection is selected, and a sensor group for receiving and transmitting light wave signals by using the detection spectrum is selected based on resonance sensitive absorption and drastic absorption conditions of the components to be detected on the wavelength of the detection spectrum.
Specifically, in the embodiment of the present invention, the detection spectrum specifically adopts a near infrared spectrum; wherein in particular the presence of specific said resonance absorption conditions of the constituent components of blood for said near infrared spectrum is in particular: the sensitive absorption wavelength of glucose in blood to the near infrared spectrum is 1200 nm-1300 nm;
the sensitive absorption wavelength of the water molecules to the near infrared spectrum is 1400 nm-1600 nm; the sensitive washing wavelength of the hemoglobin to the near infrared spectrum comprises 600 nm-700 nm and 900 nm-1000 nm.
In step S2, selecting the sensor group includes: an emission sensor 1, a transmission reception sensor 2, and a reflection reception sensor 3; the near infrared spectrum wavelength in the sensor group is consistent with the sensitive absorption wavelength of the component to be tested in the blood composition, and the emission power and the emission wavelength of the emission sensor 1 are closely related to the component to be tested; in addition, the emission sensor 1 has higher power, so that the situation that diffuse reflection light at a receiving end of the sensor is too weak to be detected normally after being absorbed and scattered by human tissues is avoided, and the wavelength selection is required to correspond to a sensitive and insensitive frequency band of a blood specific component substance.
S3, a layout sensor group: and according to the resonance absorption condition of the sensor group to the spectrum wavelength, the sensor group is arranged at the part to be detected, and the installation positions and the response sequence of the transmitting sensor 1 and the transmitting and reflecting receiving sensor 3 in the sensor group are determined.
S4, acquiring signal data: and determining the acquisition mode of signal data according to the installation positions of the transmitting sensor 1 and the receiving sensor, and acquiring pulse fluctuation signals after the light wave signals pass through human tissues.
In an embodiment of the present invention, the signal data acquisition mode includes: detecting a spectrum transmission acquisition mode, detecting a spectrum reflection acquisition mode and integrating the acquisition mode; the three information data acquisition modes can be selected or combined by a plurality of acquisition mechanisms to acquire data.
Specifically, the operation steps of detecting the spectrum transmission acquisition mode specifically include: the detection spectrum transmission acquisition mode specifically comprises the following steps: a plurality of transmitting sensors 1 and transmitting and receiving sensors 2 are configured, the transmitting sensors 1 and the receiving sensors are arranged in a pairwise opposite mode, and a part to be detected of a human body is placed between the two sensors;
the transmitting sensor 1 is controlled to be sequentially started in unit time, photoelectric signals are sensitively absorbed by the components to be detected in blood through the part to be detected of the human body, and the transmitting and receiving sensor 2 correspondingly acquires pulse wave waveforms generated after the photoelectric signals are transmitted through the part to be detected of the human body.
Wherein, in the embodiment of the invention, near infrared spectrum is adopted as detection spectrum;
specifically, the operation steps of detecting the spectrum reflection acquisition mode specifically include: a plurality of transmitting sensors 1 and reflecting receiving sensors 3 are configured, wherein 1 transmitting sensor 1 is matched with 2 reflecting receiving sensors, the transmitting sensors 1 and the reflecting receiving sensors are arranged in parallel and side by side, and the transmitting sensors 1 are arranged between the reflecting receiving sensors 3;
the transmitting sensor 1 is controlled to be sequentially started in unit time, photoelectric signals pass through the part to be detected of the human body and are sensitively absorbed by the components to be detected in blood, and the reflection receiving sensor 3 correspondingly collects pulse wave waveforms generated by the photoelectric signals reflected by the part to be detected of the human body.
Specifically, the integrated acquisition mode specifically includes: a plurality of emission sensors 1, transmission receiving sensors 2 and reflection receiving sensors 3 are configured, 1 emission sensor 1 is matched with 1 transmission receiving sensor 2 and 2 reflection receiving sensors 3, the emission sensors 1 are arranged opposite to the transmission receiving sensors 2, and are arranged parallel to the reflection receiving sensors 3;
the transmitting sensor 1 is controlled to be sequentially started in unit time, photoelectric signals pass through a part to be detected of a human body and are sensitively absorbed by the components to be detected in blood, and the transmitting receiving sensor 2 and the reflecting receiving sensor 3 respectively receive transmission pulse wave waveforms and reflection pulse wave waveforms generated after the photoelectric signals pass through the part to be detected and pass through the part to be detected;
and combining the transmitted pulse wave waveform and the reflected pulse wave waveform to obtain the pulse wave waveform required by final subsequent calculation.
S5, signal waveform conversion: converting an optical path measurement signal obtained based on the sensitive absorption wavelength and the inspired absorption wavelength of the component to be detected in the pulse fluctuation signal into a visual pulse waveform, namely converting the sensitive absorption and inspired absorption conditions projected by the component to be detected on the optical wavelength into corresponding pulse wave waveforms; the pulse wave waveform comprises a sensitive pulse wave and a feeling pulse wave.
The visual pulse waveform conversion display can be displayed by an oscilloscope or a computer terminal; in step S5, the pulse wave waveform is converted into the pulse wave waveform, and then the pulse wave waveform further includes:
pulse waveform correction: and taking the pulse wave of the sense of the break obtained by the absorption and conversion of the component to be detected as background data, and carrying out waveform correction on the sensitive pulse wave to obtain accurate waveform data.
S6, calculating model data: establishing a mathematical calculation model of blood components, inputting the pulse wave waveform as model characteristics, extracting the numerical value represented by the pulse wave waveform, performing quantitative analysis training on the numerical value, and calculating the numerical value of the component to be detected in the blood components.
Specifically, in the embodiment of the present invention, in the step S6, the step of calculating the model data specifically includes: s601, extracting training sample data: taking pulse wave waveforms of the components to be detected for determining the values of the blood components, and extracting information data represented by the pulse wave waveforms;
s602, building a training model: establishing a blood component mathematical calculation model, inputting component values determined by the components to be detected and information data represented by pulse wave waveforms corresponding to the component values as characteristic inputs, and inputting the characteristic inputs into the blood component mathematical calculation model for training to obtain a training sample set;
s603, extracting experimental sample data: the method comprises the steps of obtaining the pulse wave waveform corresponding to a component to be detected preset in blood component verification by utilizing the sensor group, extracting information data represented by the pulse wave waveform to serve as an experimental sample set, and inputting the experimental sample set into a blood component mathematical model for sample training analysis;
s604, acquiring an experimental sample training result: and the blood component mathematical calculation model performs data analysis on the experimental sample set according to the analysis logic of the training sample set, and analyzes and calculates the numerical value of the component to be detected based on the information data represented by the pulse wave waveform.
Specifically, in an embodiment of the present invention, the method for extracting information data represented by the pulse wave waveform includes: curve tracking or waveform scanning.
The waveform scanning method comprises the following specific steps:
step one, taking the pulse wave waveform as input, inputting the pulse wave waveform into a scanner for feature extraction, and determining the resolution of the scanner according to the data resolution requirement;
step two, storing the pulse wave waveform diagram according to a lossless format;
cutting the decomposed picture into a waveform chart only containing a single waveform, wherein the single waveform is a waveform chart of the component to be detected, and removing obvious noise;
step four, extracting a waveform diagram base line, and performing inclination correction and amplitude calibration on the waveform diagram base line;
and fifthly, waveform data are carried out.
In view of the foregoing, the method for detecting blood components integrated with multiple measurement mechanisms according to the embodiments of the present invention is based on the fact that substance molecules of different components in blood have strong resonance absorption phenomena for specific wavelength signals in different detection spectrums, and the sensor group is used to integrate detection spectrum transmission, detection spectrum reflection and transmission and reflection combined data acquisition modes to obtain the pulse wave waveform formed after the photoelectric signals are transmitted and reflected in human tissues, and the curve tracking method or the waveform scanning method is used to extract information data therein, so as to ensure that accurate data calculation preconditions can be obtained; and then establishing a mathematical calculation model of the blood component, training a sample by utilizing the data of the component to be detected with the determined component value and the pulse wave waveform corresponding to the data, training a model data analysis logic, and calculating and analyzing the value of the component to be detected according to the analysis logic by inputting experimental sample data into the mathematical calculation model of the blood component. Compared with the prior art, the sensor group can conveniently and rapidly collect the blood component signal data of the tested person, and analyze and detect the blood component signal data, so that accurate and standardized blood component values can be obtained.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (10)
1. A method of assaying blood components integrating a plurality of measurement mechanisms, comprising the steps of: s1, presetting parameters to be measured: determining the components to be detected in the blood composition according to the detection requirement;
s2, presetting detection conditions: selecting a detection spectrum for blood detection according to the selected component to be detected, and selecting a sensor group applying the detection spectrum to transmit and receive light wave signals based on resonance sensitive absorption and a drastic absorption condition of the component to be detected to the wavelength of the detection spectrum;
s3, a layout sensor group: according to the resonance absorption condition of the sensor group to the spectrum wavelength, the sensor group is arranged at a part to be detected, and the installation positions and the response sequence of an emission sensor, a transmission receiving sensor and a reflection receiving sensor in the sensor group are determined;
s4, acquiring signal data: determining a signal data acquisition mode according to the installation positions of the transmitting sensor and the receiving sensor, and acquiring pulse fluctuation signals of the light wave signals after the light wave signals pass through human tissues;
s5, signal waveform conversion: converting an optical path measurement signal obtained based on the sensitive absorption wavelength and the inspired absorption wavelength of the component to be detected in the pulse fluctuation signal into a visual pulse waveform, namely converting the sensitive absorption and inspired absorption conditions projected by the component to be detected on the optical wavelength into corresponding pulse wave waveforms; the pulse wave waveform comprises a sensitive pulse wave and a feeling pulse wave;
s6, calculating model data: establishing a mathematical calculation model of blood components, inputting the pulse wave waveform as model characteristics, extracting the numerical value represented by the pulse wave waveform, performing quantitative analysis training on the numerical value, and calculating the numerical value of the component to be detected in the blood components.
2. The method of claim 1, wherein in step S2, the detection spectrum comprises a near infrared spectrum.
3. The method for assaying blood components integrated with multiple measurement mechanisms according to claim 2, wherein in said step S2, said component to be assayed presents said resonance absorption condition specific to said near infrared spectrum; the resonance absorption condition includes:
the sensitive absorption wavelength of glucose in blood to near infrared spectrum is 1200 nm-1300 nm;
the sensitive absorption wavelength of the water molecules to the near infrared spectrum is 1400 nm-1600 nm;
the sensitive absorption wavelength of hemoglobin to near infrared spectrum includes 600 nm-700 nm and 900 nm-1000 nm.
4. The method for calibrating blood components integrating multiple measurement mechanisms according to claim 1, wherein in step S4, the signal data acquisition mode comprises: the detection spectrum transmission acquisition mode specifically comprises the following steps: configuring a plurality of transmitting sensors and transmitting and receiving sensors, arranging the transmitting sensors and the transmitting and receiving sensors in a pairwise manner, and placing a part to be detected of a human body between the two sensors; the transmitting sensor is controlled to be sequentially started in unit time, photoelectric signals pass through the part to be detected of the human body and are sensitively absorbed by the components to be detected in blood, and the transmitting and receiving sensor correspondingly acquires pulse wave waveforms generated after the photoelectric signals are transmitted through the part to be detected of the human body.
5. The method of claim 4, wherein the signal data acquisition mode further comprises: the detection spectrum reflection acquisition mode specifically comprises the following steps: configuring a plurality of transmitting sensors and reflecting receiving sensors, wherein 1 transmitting sensor is matched with 2 reflecting receiving sensors, the transmitting sensors, the reflecting receiving sensors and the reflecting receiving sensors are arranged in parallel and side by side, and the transmitting sensors are arranged between the reflecting receiving sensors;
the transmitting sensor is controlled to be sequentially started in unit time, photoelectric signals pass through the part to be detected of the human body and are sensitively absorbed by the components to be detected in blood, and the reflecting receiving sensor correspondingly collects pulse wave waveforms generated by the photoelectric signals reflected by the part to be detected of the human body.
6. The method of claim 5, wherein the signal data acquisition mode further comprises: the integrated acquisition mode specifically comprises the following steps: configuring a plurality of transmitting sensors, transmitting and receiving sensors and reflecting and receiving sensors, wherein 1 transmitting sensor is matched with 1 transmitting and receiving sensor and 2 reflecting and receiving sensors, the transmitting sensors and the transmitting and receiving sensors are arranged oppositely, and the transmitting sensors and the reflecting and receiving sensors are arranged in parallel and side by side;
the transmitting sensor is controlled to be sequentially started in unit time, photoelectric signals pass through a part to be detected of a human body and are sensitively absorbed by the components to be detected in blood, and the transmitting receiving sensor and the reflecting receiving sensor respectively receive transmission pulse wave waveforms and reflection pulse wave waveforms generated after the photoelectric signals pass through the part to be detected and pass through the part to be detected;
and combining the transmitted pulse wave waveform and the reflected pulse wave waveform to obtain the pulse wave waveform required by final subsequent calculation.
7. The method according to claim 6, wherein in step S4, the signal data acquisition module is specifically one or more of the detection spectral transmission acquisition mode, the detection spectral reflection acquisition mode and the integrated acquisition mode.
8. The method for assaying blood components integrating multiple measurement mechanisms according to claim 1, wherein in step S5, the signal waveform conversion further comprises: pulse waveform correction: and taking the pulse wave of the sense of the break obtained by the absorption and conversion of the component to be detected as background data, and carrying out waveform correction on the sensitive pulse wave to obtain accurate waveform data.
9. The method for calibrating blood components integrating multiple measurement mechanisms according to claim 1, wherein in step S6, the step of calculating model data is specifically: s601, extracting training sample data: taking pulse wave waveforms of the components to be detected for determining the values of the blood components, and extracting information data represented by the pulse wave waveforms;
s602, building a training model: establishing a blood component mathematical calculation model, inputting component values determined by the components to be detected and information data represented by pulse wave waveforms corresponding to the component values as characteristic inputs, and inputting the characteristic inputs into the blood component mathematical calculation model for training to obtain a training sample set;
s603, extracting experimental sample data: the method comprises the steps of obtaining the pulse wave waveform corresponding to a component to be detected preset in blood component verification by utilizing the sensor group, extracting information data represented by the pulse wave waveform to serve as an experimental sample set, and inputting the experimental sample set into a blood component mathematical model for sample training analysis;
s604, acquiring an experimental sample training result: and the blood component mathematical calculation model performs data analysis on the experimental sample set according to the analysis logic of the training sample set, and analyzes and calculates the numerical value of the component to be detected based on the information data represented by the pulse wave waveform.
10. The method for calibrating blood components integrating multiple measurement mechanisms according to claim 9, wherein the method for extracting information data represented by the pulse wave waveform comprises: curve tracking or waveform scanning.
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Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003153882A (en) * | 2001-11-20 | 2003-05-27 | Minolta Co Ltd | Blood component measuring instrument |
CN1579321A (en) * | 2004-05-21 | 2005-02-16 | 天津大学 | Airspace light-diving differential wavelength spectro meter for detecting artery blood content and detection method thereof |
CN103519825A (en) * | 2012-07-06 | 2014-01-22 | 奥森斯有限公司 | System and method for measuring blood parameters |
CN103948393A (en) * | 2014-05-21 | 2014-07-30 | 华侨大学 | Near-infrared noninvasive detection method and device for contents of blood components |
TW201447300A (en) * | 2013-02-12 | 2014-12-16 | Cilag Gmbh Int | System and method for measuring an analyte in a sample and calculating hematocrit-insensitive glucose concentrations |
CN104224196A (en) * | 2014-09-24 | 2014-12-24 | 天津大学 | Noninvasive blood component concentration measuring method |
CN107361776A (en) * | 2017-05-20 | 2017-11-21 | 深圳市前海安测信息技术有限公司 | Noninvasive system for detecting blood sugar and method |
CN108471961A (en) * | 2016-06-15 | 2018-08-31 | 深圳迈瑞生物医疗电子股份有限公司 | A kind of computational methods of physiological parameter and corresponding Medical Devices |
CN113567606A (en) * | 2021-07-16 | 2021-10-29 | 西安近代化学研究所 | Device and method for detecting migration resistance of insensitive emission medicament |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2007117591A (en) * | 2005-10-31 | 2007-05-17 | Konica Minolta Sensing Inc | Pulse wave analyzer |
US20110190192A1 (en) * | 2009-12-15 | 2011-08-04 | Cebix Inc. | Methods for treating erectile dysfunction in patients with insulin-dependent diabetes |
US8694067B2 (en) * | 2011-02-15 | 2014-04-08 | General Electric Company | Sensor, apparatus and method for non-invasively monitoring blood characteristics of a subject |
US10022053B2 (en) * | 2013-02-22 | 2018-07-17 | Cloud Dx, Inc. | Simultaneous multi-parameter physiological monitoring device with local and remote analytical capability |
GB201608781D0 (en) * | 2016-05-19 | 2016-07-06 | Leman Micro Devices Sa | Non-invasive blood analysis |
CN114173645A (en) * | 2019-06-18 | 2022-03-11 | 生命解析公司 | Method and system for assessing disease using dynamic analysis of biophysical signals |
-
2022
- 2022-01-13 CN CN202210035982.2A patent/CN114366090B/en active Active
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2003153882A (en) * | 2001-11-20 | 2003-05-27 | Minolta Co Ltd | Blood component measuring instrument |
CN1579321A (en) * | 2004-05-21 | 2005-02-16 | 天津大学 | Airspace light-diving differential wavelength spectro meter for detecting artery blood content and detection method thereof |
CN103519825A (en) * | 2012-07-06 | 2014-01-22 | 奥森斯有限公司 | System and method for measuring blood parameters |
TW201447300A (en) * | 2013-02-12 | 2014-12-16 | Cilag Gmbh Int | System and method for measuring an analyte in a sample and calculating hematocrit-insensitive glucose concentrations |
CN103948393A (en) * | 2014-05-21 | 2014-07-30 | 华侨大学 | Near-infrared noninvasive detection method and device for contents of blood components |
CN104224196A (en) * | 2014-09-24 | 2014-12-24 | 天津大学 | Noninvasive blood component concentration measuring method |
CN108471961A (en) * | 2016-06-15 | 2018-08-31 | 深圳迈瑞生物医疗电子股份有限公司 | A kind of computational methods of physiological parameter and corresponding Medical Devices |
CN107361776A (en) * | 2017-05-20 | 2017-11-21 | 深圳市前海安测信息技术有限公司 | Noninvasive system for detecting blood sugar and method |
CN113567606A (en) * | 2021-07-16 | 2021-10-29 | 西安近代化学研究所 | Device and method for detecting migration resistance of insensitive emission medicament |
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