CN114366090A - Blood component detection method integrating multiple measurement mechanisms - Google Patents
Blood component detection method integrating multiple measurement mechanisms Download PDFInfo
- Publication number
- CN114366090A CN114366090A CN202210035982.2A CN202210035982A CN114366090A CN 114366090 A CN114366090 A CN 114366090A CN 202210035982 A CN202210035982 A CN 202210035982A CN 114366090 A CN114366090 A CN 114366090A
- Authority
- CN
- China
- Prior art keywords
- detected
- pulse wave
- blood
- component
- transmitting
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 92
- 239000012503 blood component Substances 0.000 title claims abstract description 74
- 238000005259 measurement Methods 0.000 title claims abstract description 23
- 230000007246 mechanism Effects 0.000 title claims abstract description 19
- 239000000306 component Substances 0.000 claims abstract description 81
- 238000010521 absorption reaction Methods 0.000 claims abstract description 55
- 238000001228 spectrum Methods 0.000 claims abstract description 47
- 239000008280 blood Substances 0.000 claims abstract description 46
- 210000004369 blood Anatomy 0.000 claims abstract description 46
- 238000012549 training Methods 0.000 claims abstract description 33
- 238000004364 calculation method Methods 0.000 claims abstract description 24
- 230000003595 spectral effect Effects 0.000 claims abstract description 15
- 238000006243 chemical reaction Methods 0.000 claims abstract description 6
- 238000004445 quantitative analysis Methods 0.000 claims abstract description 6
- 238000000034 method Methods 0.000 claims description 33
- 230000005540 biological transmission Effects 0.000 claims description 30
- 238000004458 analytical method Methods 0.000 claims description 20
- 238000002329 infrared spectrum Methods 0.000 claims description 17
- 239000000203 mixture Substances 0.000 claims description 13
- 238000009434 installation Methods 0.000 claims description 10
- 238000012937 correction Methods 0.000 claims description 7
- 238000007405 data analysis Methods 0.000 claims description 6
- 230000000007 visual effect Effects 0.000 claims description 6
- WQZGKKKJIJFFOK-GASJEMHNSA-N Glucose Natural products OC[C@H]1OC(O)[C@H](O)[C@@H](O)[C@@H]1O WQZGKKKJIJFFOK-GASJEMHNSA-N 0.000 claims description 5
- 239000008103 glucose Substances 0.000 claims description 5
- 230000004044 response Effects 0.000 claims description 5
- 102000001554 Hemoglobins Human genes 0.000 claims description 4
- 108010054147 Hemoglobins Proteins 0.000 claims description 4
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 4
- 238000002474 experimental method Methods 0.000 claims description 3
- 238000013178 mathematical model Methods 0.000 claims description 3
- 238000005406 washing Methods 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims 1
- 238000012795 verification Methods 0.000 claims 1
- 238000012360 testing method Methods 0.000 abstract description 6
- 238000010586 diagram Methods 0.000 description 6
- 239000000126 substance Substances 0.000 description 4
- 238000012986 modification Methods 0.000 description 3
- 230000004048 modification Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 2
- 206010012601 diabetes mellitus Diseases 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 208000015181 infectious disease Diseases 0.000 description 1
- 150000002632 lipids Chemical class 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000009666 routine test Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 208000024891 symptom Diseases 0.000 description 1
Images
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue using optical sensors, e.g. spectral photometrical oximeters
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/02—Detecting, measuring or recording pulse, heart rate, blood pressure or blood flow; Combined pulse/heart-rate/blood pressure determination; Evaluating a cardiovascular condition not otherwise provided for, e.g. using combinations of techniques provided for in this group with electrocardiography or electroauscultation; Heart catheters for measuring blood pressure
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
- A61B5/7267—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems involving training the classification device
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
Abstract
The application discloses a blood component detection method integrating multiple measurement mechanisms, which comprises the following steps: presetting parameters to be detected: determining a component 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; the layout sensor group is used for determining the acquisition mode of signal data and acquiring a pulse fluctuation signal of a light wave signal after passing through tissues; signal waveform conversion: converting the sensitive and insensitive absorption conditions of the components to be measured on the projection of the spectral wavelength into corresponding pulse wave waveforms; and establishing a blood component mathematical calculation model, inputting the pulse wave waveform as model characteristics, then extracting the numerical value represented by the pulse wave waveform, carrying out quantitative analysis training on the numerical value, and calculating to obtain the numerical value of the component to be detected. The technical scheme of the invention can carry out convenient and fast data acquisition on the blood component concentration value of the tested person, ensure to obtain accurate calculation data and provide accurate data premise for subsequent test calculation.
Description
Technical Field
The present application relates to the field of blood component detection technologies, and more particularly, to a method for detecting blood components by integrating multiple measurement mechanisms.
Background
According to the statistics of the world health organization, the blood detection is carried out at least 5 times per person per year on the average in the world, and most of the blood detection is the routine blood detection of general infection, the blood lipid detection of the three-high population and the blood sugar detection of diabetes patients. Basically, all the tests require the medical institution to extract static/arterial blood or prick to extract fingertip blood for biochemical detection. In particular, for the conventional diseases such as cold of children, blood routine tests are required basically only when the children enter a hospital because the symptoms and processes of the children cannot be completely expressed. For more than 4.2 million diabetics in the world, and 1000 million new diabetics each year, moderate or severe diabetics need daily blood glucose monitoring. The existing monitoring method is to prick a needle to collect blood from a fingertip and test the blood; often, one can not find that the finger is intact from year to year testing. Therefore, the research application of the non-invasive blood detection has great advantages.
At present, no approved noninvasive blood component detection method exists in the existing market, the fundamental reason is that the complexity of the human environment is far higher than the environment which can be simulated by a laboratory, the acquired data has deviation, and in the test calculation after data acquisition, the accurate, comprehensive, easy-to-use and standardized basic calculation data cannot be obtained, so that the follow-up test result cannot be approved. At present, the invention patent with application number 2021115083685 discloses a sensor group for non-invasive 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 detection, even if there is accurate data as a premise, if there is no correct detection method, the finally obtained blood component data will have a large error.
Therefore, it is a technical problem to be solved by those skilled in the art how to provide a blood component detection method integrating multiple measurement mechanisms, which can conveniently and quickly collect blood component signal data of a person to be detected, and perform analysis and detection according to the signal data, so as to obtain accurate and standardized blood component values.
Disclosure of Invention
In order to solve the technical problems, the application provides a blood component detection method and system integrating multiple measurement mechanisms, which can conveniently and quickly collect blood component signal data of a detected person and carry out analysis and detection according to the signal data, so that accurate and standardized blood component values can be obtained.
The technical scheme of the application is as follows:
the application provides a blood component detection method integrating multiple measurement mechanisms, which comprises the following steps: s1, presetting parameters to be detected: determining 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 for receiving and transmitting light wave signals by using the detection spectrum based on the resonance sensitive absorption and pause sensitive absorption conditions of the component to be detected on the wavelength of the detection spectrum; s3, layout sensor group: according to the resonance absorption condition of the sensor group on the spectral wavelength, the sensor group is arranged at a part to be detected, and the installation positions and the response sequence of an emission sensor and a transmission and 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 a pulse fluctuation signal of the light wave signal after passing through human tissues; s5, converting signal waveforms: converting a light path measurement signal obtained based on the sensitive absorption wavelength and the pause-sensing absorption wavelength of the component to be detected in the pulse fluctuation signal into a visual pulse waveform, namely converting the sensitive absorption and the blunt-sensing absorption conditions of the component to be detected on the projection of the spectral wavelength into corresponding pulse waveform; the pulse wave waveforms comprise sensitive pulse waves and pause-sensing pulse waves; s6, model data calculation: and establishing a blood component mathematical calculation model, inputting the pulse wave waveform as model characteristics, then extracting a numerical value represented by the pulse wave waveform, carrying out quantitative analysis training on the numerical value, and calculating to obtain the numerical value of the component to be detected in the blood composition.
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 step S4, the signal data acquisition mode includes:
a detection spectrum transmission acquisition mode, wherein 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 opposite manner, and placing a part to be measured of a human body between the two sensors; the transmitting sensors are controlled to be sequentially started in unit time, photoelectric signals are sensitively absorbed by the components to be detected in blood through the parts to be detected of the human body, and the transmitting and receiving sensors correspondingly acquire pulse wave waveforms generated after the photoelectric signals penetrate through the parts to be detected of the human body.
Further, in a preferred mode of the present invention, the signal data acquisition mode further includes:
a detection spectrum reflection collection mode, wherein the detection spectrum reflection collection mode specifically comprises: 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 the transmitting sensors are arranged among the reflecting receiving sensors;
the transmitting sensors are controlled to be sequentially started in unit time, photoelectric signals are sensitively absorbed by the components to be detected in blood through the parts to be detected of the human body, and the reflection receiving sensors correspondingly acquire pulse wave waveforms generated by the photoelectric signals reflected by the parts to be detected of the human body.
Further, in a preferred mode of the present invention, the signal data acquisition mode further includes:
an integrated acquisition mode, which specifically comprises: configuring a plurality of the transmitting sensors, the transmitting receiving sensors and the reflecting receiving sensors, wherein 1 transmitting sensor is matched with 1 transmitting receiving sensor and 2 reflecting receiving sensors, and the transmitting sensors and the transmitting receiving sensors are oppositely arranged and are arranged in parallel with the reflecting receiving sensors;
the transmitting sensors are controlled to be sequentially started in unit time, photoelectric signals are sensitively absorbed by the components to be detected in blood through the parts to be detected of the human body, and the transmitting receiving sensors and the reflecting receiving sensors respectively receive transmission pulse wave waveforms and reflection pulse wave waveforms generated after the photoelectric signals penetrate through the parts to be detected and pass through the parts to be detected;
and then combining the transmission pulse wave waveform and the reflection pulse wave waveform to obtain the pulse wave waveform required by the 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 step S5, the signal waveform converting further includes:
and (3) pulse waveform correction: and taking the pause-sensing pulse wave obtained by the pause-sensing 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 embodiment of the present invention, in the step S6, the step of calculating the model data specifically includes:
s601, extracting training sample data: taking the pulse wave waveform of the component to be detected for determining the blood component value, and extracting the represented information data from the pulse wave waveform;
s602, establishing a training model: establishing a blood component mathematical computation model, inputting the component numerical values determined by the components to be tested and information data represented by corresponding pulse wave waveforms as characteristic input into the blood component mathematical computation model for training to obtain a training sample set;
s603, extracting experiment sample data: acquiring a component to be detected preset in blood component detection by using the sensor group, acquiring the pulse wave waveform corresponding to the component to be detected, extracting information data represented by the pulse wave waveform, taking the information data as an experimental sample set, and inputting the experimental sample set into the blood component mathematical model for sample training analysis;
s604, obtaining a training result of the experimental sample: and the blood component mathematical computation model performs data analysis on the experimental sample set according to the analysis logic of the training sample set, and obtains the numerical value of the component to be detected through analysis and computation 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 representative of the pulse wave waveform includes: a curve tracing method or a waveform scanning method.
Compared with the prior art, the blood component detection method integrating multiple measurement mechanisms provided by the invention comprises the following steps: s1, presetting parameters to be detected: determining 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 for receiving and transmitting light wave signals by using the detection spectrum based on the resonance sensitive absorption and pause sensitive absorption conditions of the component to be detected on the wavelength of the detection spectrum; s3, layout sensor group: according to the resonance absorption condition of the sensor group on the spectral wavelength, the sensor group is arranged at a part to be detected, and the installation positions and the response sequence of an emission sensor and a transmission and 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 a pulse fluctuation signal of the light wave signal after passing through human tissues; s5, converting signal waveforms: converting a light path measurement signal obtained based on the sensitive absorption wavelength and the pause-sensing absorption wavelength of the component to be detected in the pulse fluctuation signal into a visual pulse waveform, namely converting the sensitive absorption and the blunt-sensing absorption conditions of the component to be detected on the projection of the spectral wavelength into corresponding pulse waveform; the pulse wave waveforms comprise sensitive pulse waves and pause-sensing pulse waves; s6, model data calculation: and establishing a blood component mathematical calculation model, inputting the pulse wave waveform as model characteristics, then extracting a numerical value represented by the pulse wave waveform, carrying out quantitative analysis training on the numerical value, and calculating to obtain the numerical value of the component to be detected in the blood composition. The invention discloses a blood component detection method integrating multiple measurement mechanisms, which is characterized in that 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, a sensor group is utilized to integrate a data acquisition mode of detecting spectrum transmission, detecting spectrum reflection and combining transmission and reflection, the pulse wave waveform formed after photoelectric signals are transmitted and reflected in human tissues is obtained, and information data in the pulse wave waveform is extracted by utilizing a curve tracking method or a waveform scanning method, so that accurate data calculation premises can be obtained; and then establishing the blood component mathematical computation model, carrying out sample training by utilizing the data of the components to be measured with determined component values and the corresponding pulse wave waveforms, training model data analysis logic, and obtaining the values of the components to be measured through calculation and analysis according to the analysis logic by inputting experimental sample data into the blood component mathematical computation model. Compared with the prior art, the sensor group can conveniently and rapidly collect the blood component signal data of the detected personnel and carry out analysis and detection according to the 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 used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block flow diagram illustrating the steps of a method for assaying blood components by integrating multiple measurement mechanisms according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a detection spectrum transmission collection mode according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a detection spectral reflectance collection mode according to an embodiment of the present invention;
fig. 4 is a working schematic diagram of an integrated acquisition mode according to an embodiment of the present invention;
fig. 5 is a flowchart illustrating steps of calculating the model data according to an embodiment of the present invention.
Description of reference numerals:
an emission sensor 1; a transmission reception sensor 2; the reflection reception sensor 3.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
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 disposed 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 will be understood that the terms "length," "width," "upper," "lower," "front," "rear," "first," "second," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like, as used herein, refer to an orientation or positional relationship indicated in the drawings that is solely for the purpose of facilitating the description and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the application.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "plurality" or "a plurality" means two or more unless specifically limited otherwise.
It should be understood that the structures, ratios, sizes, and the like shown in the drawings are only used for matching the disclosure of the specification, so as to be understood and read by those skilled in the art, and are not used to limit the practical limit conditions of the present application, so that the modifications of the structures, the changes of the ratio relationships, or the adjustment of the sizes, do not have the technical essence, and the modifications, the changes of the ratio relationships, or the adjustment of the sizes, are all within the scope of the technical contents disclosed in the present application without affecting the efficacy and the achievable purpose of the present application.
Referring to fig. 1 to 5, the present invention provides a method for assaying blood components by integrating a plurality of measurement mechanisms, comprising the steps of: s1, presetting parameters to be detected: determining 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 for receiving and transmitting light wave signals by using the detection spectrum based on the resonance sensitive absorption and pause sensitive absorption conditions of the component to be detected on the wavelength of the detection spectrum; s3, layout sensor group: according to the resonance absorption condition of the sensor group on the spectral 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 sensors 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 of the light wave signal after passing through human tissues; s5, converting signal waveforms: converting a light path measurement signal obtained based on the sensitive absorption wavelength and the pause-sensing absorption wavelength of the component to be detected in the pulse fluctuation signal into a visual pulse waveform, namely converting the sensitive absorption and the blunt-sensing absorption conditions of the component to be detected on the projection of the spectral wavelength into corresponding pulse waveform; the pulse wave waveforms comprise sensitive pulse waves and pause-sensing pulse waves; s6, model data calculation: and establishing a blood component mathematical calculation model, inputting the pulse wave waveform as model characteristics, then extracting a numerical value represented by the pulse wave waveform, carrying out quantitative analysis training on the numerical value, and calculating to obtain the numerical value of the component to be detected in the blood composition. The invention discloses a blood component detection method integrating multiple measurement mechanisms, which is characterized in that 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, a sensor group is utilized to integrate a data acquisition mode of detecting spectrum transmission, detecting spectrum reflection and combining transmission and reflection, the pulse wave waveform formed after photoelectric signals are transmitted and reflected in human tissues is obtained, and information data in the pulse wave waveform is extracted by utilizing a curve tracking method or a waveform scanning method, so that accurate data calculation premises can be obtained; and then establishing the blood component mathematical computation model, carrying out sample training by utilizing the data of the components to be measured with determined component values and the corresponding pulse wave waveforms, training model data analysis logic, and obtaining the values of the components to be measured through calculation and analysis according to the analysis logic by inputting experimental sample data into the blood component mathematical computation model. Compared with the prior art, the sensor group can conveniently and rapidly collect the blood component signal data of the detected personnel and carry out analysis and detection according to the signal data, so that accurate and standardized blood component values can be obtained.
The application discloses a blood component detection method integrating multiple measurement mechanisms, which specifically comprises the following steps: s1, presetting parameters to be detected: and determining the component to be detected in the blood composition according to the detection requirement.
Among the blood components, the blood components have different compositions including: glucose, water, hemoglobin, and plasma, among others, with different compositions differing in the resonant absorption of a particular wavelength signal in different detection spectra.
S2, presetting detection conditions: selecting a detection spectrum for blood detection according to the selected component to be detected, and selecting a sensor group for receiving and transmitting light wave signals by using the detection spectrum based on the resonance sensitive absorption and pause sensitive absorption conditions of the component 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, the specific resonance absorption condition of the components in the blood on the near infrared spectrum is as follows: 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 wavelength of the near infrared spectrum in the sensor group is consistent with the sensitive absorption wavelength of the component to be tested in the blood composition, and the selection of the emission power and the emission wavelength of the emission sensor 1 is closely related to the component to be tested; moreover, the transmitting sensor 1 has higher power, so that the condition that the diffuse reflection light at the receiving end of the sensor after being absorbed and scattered by human tissues is too weak to be detected normally is avoided, and the selection of the wavelength is required to correspond to the sensitive and insensitive frequency bands of the specific blood component substances.
S3, layout sensor group: and arranging the sensor group at a part to be detected according to the resonance absorption condition of the sensor group on the spectral wavelength, and determining the installation positions and the response sequence of the transmitting sensor 1 and the transmitting and reflecting receiving sensors 3 in the sensor group.
S4, acquiring signal data: and 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 of the light wave signal after passing through human tissues.
In an embodiment of the present invention, the acquisition mode of the signal data includes: a detection spectrum transmission acquisition mode, a detection spectrum reflection acquisition mode and an integrated acquisition mode; three information data acquisition modes can be selected alternatively or by combining a plurality of acquisition mechanisms for data acquisition.
Specifically, the operation steps of the detection spectrum transmission acquisition mode specifically include: a detection spectrum transmission acquisition mode, wherein the detection spectrum transmission acquisition mode specifically comprises the following steps: configuring a plurality of transmitting sensors 1 and transmitting and receiving sensors 2, arranging the transmitting sensors 1 and the receiving sensors in a pairwise opposite manner, and placing a part to be measured of a human body between the two sensors;
the transmitting sensors 1 are controlled to be sequentially started in unit time, photoelectric signals are sensitively absorbed by components to be detected in blood through the parts to be detected of the human body, and the transmission receiving sensors 2 correspondingly acquire pulse wave waveforms generated after the photoelectric signals penetrate through the parts to be detected of the human body.
Wherein, in the embodiment of the invention, the near infrared spectrum is adopted as the detection spectrum;
specifically, the operation steps of detecting the spectral reflection collection mode specifically include: configuring a plurality of transmitting sensors 1 and reflecting receiving sensors 3, wherein 1 transmitting sensor 1 is matched with 2 reflecting receiving sensors which are arranged in parallel, and the transmitting sensors 1 are arranged among the reflecting receiving sensors 3;
the transmitting sensors 1 are controlled to be sequentially started in unit time, photoelectric signals are sensitively absorbed by components to be detected in blood through the parts to be detected of the human body, and the reflection receiving sensors 3 correspondingly acquire pulse wave waveforms generated by the photoelectric signals reflected by the parts to be detected of the human body.
Specifically, the integrated acquisition mode specifically includes: configuring a plurality of the transmitting sensors 1, transmitting receiving sensors 2 and reflecting receiving sensors 3, wherein 1 transmitting sensor 1 is matched with 1 transmitting receiving sensor 2 and 2 reflecting receiving sensors 3, and the transmitting sensor 1 and the transmitting receiving sensor 2 are arranged oppositely and arranged parallel to and side by side with the reflecting receiving sensor 3;
the transmitting sensors 1 are controlled to be sequentially started in unit time, photoelectric signals are sensitively absorbed by components to be detected in blood through a part to be detected of a human body, 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 penetrate through the part to be detected and pass through the part to be detected;
and then combining the transmission pulse wave waveform and the reflection pulse wave waveform to obtain the pulse wave waveform required by the final subsequent calculation.
S5, converting signal waveforms: converting a light path measurement signal obtained based on the sensitive absorption wavelength and the pause-sensing absorption wavelength of the component to be detected in the pulse fluctuation signal into a visual pulse waveform, namely converting the sensitive absorption and the blunt-sensing absorption conditions of the component to be detected on the projection of the spectral wavelength into corresponding pulse waveform; the pulse wave waveforms include a sensitive pulse wave and a pause-sensitive pulse wave.
Wherein, the display of the visual pulse waveform conversion can be displayed by an oscilloscope or a computer terminal; in step S5, the method further includes, after converting into the pulse wave waveform:
and (3) pulse waveform correction: and taking the pause-sensing pulse wave obtained by the pause-sensing 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, model data calculation: and establishing a blood component mathematical calculation model, inputting the pulse wave waveform as model characteristics, then extracting a numerical value represented by the pulse wave waveform, carrying out quantitative analysis training on the numerical value, and calculating to obtain the numerical value of the component to be detected in the blood composition.
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 the pulse wave waveform of the component to be detected for determining the blood component value, and extracting the represented information data from the pulse wave waveform;
s602, establishing a training model: establishing a blood component mathematical computation model, inputting the component numerical values determined by the components to be tested and information data represented by corresponding pulse wave waveforms as characteristic input into the blood component mathematical computation model for training to obtain a training sample set;
s603, extracting experiment sample data: acquiring a component to be detected preset in blood component detection by using the sensor group, acquiring the pulse wave waveform corresponding to the component to be detected, extracting information data represented by the pulse wave waveform, taking the information data as an experimental sample set, and inputting the experimental sample set into the blood component mathematical model for sample training analysis;
s604, obtaining a training result of the experimental sample: and the blood component mathematical computation model performs data analysis on the experimental sample set according to the analysis logic of the training sample set, and obtains the numerical value of the component to be detected through analysis and computation 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: a curve tracing method or a waveform scanning method.
The waveform scanning method comprises the following specific steps:
step one, inputting the pulse wave waveform as input 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 oscillogram according to a lossless format;
cutting the decomposed picture into a waveform diagram only containing a single waveform, wherein the single waveform is the waveform diagram of the single component to be detected, and obvious noise is removed;
step four, extracting a base line of the oscillogram, and performing inclination correction and amplitude calibration on the base line;
and step five, waveform data are processed.
In view of the above, the blood component detection method integrating multiple measurement mechanisms according to the embodiment of the present invention integrates a data acquisition mode of spectrum transmission, spectrum reflection, and combination of transmission and reflection based on the fact that substance molecules of different components in blood have strong resonance absorption phenomena on specific wavelength signals in different detection spectra, and acquires the pulse wave waveform formed by transmission and reflection of photoelectric signals in human tissues by using the sensor group, and extracts information data therein by using the curve tracking method or the waveform scanning method, thereby ensuring that accurate data calculation premises can be acquired; and then establishing the blood component mathematical computation model, carrying out sample training by utilizing the data of the components to be measured with determined component values and the corresponding pulse wave waveforms, training model data analysis logic, and obtaining the values of the components to be measured through calculation and analysis according to the analysis logic by inputting experimental sample data into the blood component mathematical computation model. Compared with the prior art, the sensor group can conveniently and rapidly collect the blood component signal data of the detected personnel and carry out analysis and detection according to the 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 multiple measurement mechanisms, comprising the steps of: s1, presetting parameters to be detected: determining 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 for receiving and transmitting light wave signals by using the detection spectrum based on the resonance sensitive absorption and pause sensitive absorption conditions of the component to be detected on the wavelength of the detection spectrum;
s3, layout sensor group: according to the resonance absorption condition of the sensor group on the spectral wavelength, the sensor group is arranged at a part to be detected, and the installation positions and the response sequence of an emission sensor and a transmission and 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 a pulse fluctuation signal of the light wave signal after passing through human tissues;
s5, converting signal waveforms: converting a light path measurement signal obtained based on the sensitive absorption wavelength and the pause-sensing absorption wavelength of the component to be detected in the pulse fluctuation signal into a visual pulse waveform, namely converting the sensitive absorption and the blunt-sensing absorption conditions of the component to be detected on the projection of the spectral wavelength into corresponding pulse waveform; the pulse wave waveforms comprise sensitive pulse waves and pause-sensing pulse waves;
s6, model data calculation: and establishing a blood component mathematical calculation model, inputting the pulse wave waveform as model characteristics, then extracting a numerical value represented by the pulse wave waveform, carrying out quantitative analysis training on the numerical value, and calculating to obtain the numerical value of the component to be detected in the blood composition.
2. The method for assaying blood components according to claim 1, wherein the detection spectrum comprises a near infrared spectrum in step S2.
3. The method for assaying blood components according to claim 2, wherein in step S2, the component to be assayed has the 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.
4. The method for assaying blood components according to claim 1, wherein in step S4, the signal data collection mode includes:
a detection spectrum transmission acquisition mode, wherein 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 opposite manner, and placing a part to be measured of a human body between the two sensors; the transmitting sensors are controlled to be sequentially started in unit time, photoelectric signals are sensitively absorbed by the components to be detected in blood through the parts to be detected of the human body, and the transmitting and receiving sensors correspondingly acquire pulse wave waveforms generated after the photoelectric signals penetrate through the parts to be detected of the human body.
5. The method for assaying blood components according to claim 4, which integrates a plurality of measurement mechanisms, wherein the signal data acquisition mode further comprises:
a detection spectrum reflection collection mode, wherein the detection spectrum reflection collection mode specifically comprises: 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 the transmitting sensors are arranged among the reflecting receiving sensors;
the transmitting sensors are controlled to be sequentially started in unit time, photoelectric signals are sensitively absorbed by the components to be detected in blood through the parts to be detected of the human body, and the reflection receiving sensors correspondingly acquire pulse wave waveforms generated by the photoelectric signals reflected by the parts to be detected of the human body.
6. The method for assaying blood components according to claim 5 integrated with multiple measurement mechanisms, wherein the signal data acquisition mode further comprises:
an integrated acquisition mode, which specifically comprises: configuring a plurality of the transmitting sensors, the transmitting receiving sensors and the reflecting receiving sensors, wherein 1 transmitting sensor is matched with 1 transmitting receiving sensor and 2 reflecting receiving sensors, and the transmitting sensors and the transmitting receiving sensors are oppositely arranged and are arranged in parallel with the reflecting receiving sensors;
the transmitting sensors are controlled to be sequentially started in unit time, photoelectric signals are sensitively absorbed by the components to be detected in blood through the parts to be detected of the human body, and the transmitting receiving sensors and the reflecting receiving sensors respectively receive transmission pulse wave waveforms and reflection pulse wave waveforms generated after the photoelectric signals penetrate through the parts to be detected and pass through the parts to be detected;
and then combining the transmission pulse wave waveform and the reflection pulse wave waveform to obtain the pulse wave waveform required by the final subsequent calculation.
7. The method for assaying blood components according to claim 6, wherein in step S4, the signal data acquisition module is embodied in one or more of the detection spectral transmission acquisition mode, the detection spectral reflection acquisition mode and an integrated acquisition mode.
8. The method for assaying blood components according to claim 1, wherein the signal waveform conversion further comprises, in step S5:
and (3) pulse waveform correction: and taking the pause-sensing pulse wave obtained by the pause-sensing 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 assaying blood components according to claim 1, wherein the step of calculating model data in step S6 is specifically:
s601, extracting training sample data: taking the pulse wave waveform of the component to be detected for determining the blood component value, and extracting the represented information data from the pulse wave waveform;
s602, establishing a training model: establishing a blood component mathematical computation model, inputting the component numerical values determined by the components to be tested and information data represented by corresponding pulse wave waveforms as characteristic input into the blood component mathematical computation model for training to obtain a training sample set;
s603, extracting experiment sample data: acquiring a component to be detected preset in blood component detection by using the sensor group, acquiring the pulse wave waveform corresponding to the component to be detected, extracting information data represented by the pulse wave waveform, taking the information data as an experimental sample set, and inputting the experimental sample set into the blood component mathematical model for sample training analysis;
s604, obtaining a training result of the experimental sample: and the blood component mathematical computation model performs data analysis on the experimental sample set according to the analysis logic of the training sample set, and obtains the numerical value of the component to be detected through analysis and computation based on the information data represented by the pulse wave waveform.
10. The method of blood component verification integrating multiple measurement mechanisms according to claim 9, wherein the method of extracting information data represented by the pulse wave waveform comprises: a curve tracing method or a waveform scanning method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210035982.2A CN114366090B (en) | 2022-01-13 | 2022-01-13 | Blood component verification method integrating multiple measurement mechanisms |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210035982.2A CN114366090B (en) | 2022-01-13 | 2022-01-13 | Blood component verification method integrating multiple measurement mechanisms |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114366090A true CN114366090A (en) | 2022-04-19 |
| CN114366090B CN114366090B (en) | 2024-02-02 |
Family
ID=81144639
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210035982.2A Active CN114366090B (en) | 2022-01-13 | 2022-01-13 | Blood component verification method integrating multiple measurement mechanisms |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114366090B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116889388A (en) * | 2023-09-11 | 2023-10-17 | 长春理工大学 | Intelligent detection system and method based on rPPG technology |
Citations (15)
| 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 |
| US20070118028A1 (en) * | 2005-10-31 | 2007-05-24 | Konica Minolta Sensing, Inc. | Pulse wave analyzing device |
| US20110190192A1 (en) * | 2009-12-15 | 2011-08-04 | Cebix Inc. | Methods for treating erectile dysfunction in patients with insulin-dependent diabetes |
| US20120209095A1 (en) * | 2011-02-15 | 2012-08-16 | General Electric Company | Sensor, apparatus and method for non-invasively monitoring blood characteristics of a subject |
| 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 |
| US20140243612A1 (en) * | 2013-02-22 | 2014-08-28 | Biosign Technologies, Inc. | Simultanious multi-parameter physiological monitoring device with local and remote analytical capability |
| 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 |
| US20190274601A1 (en) * | 2016-05-19 | 2019-09-12 | Leman Micro Devices Sa | Non-invasive blood analysis |
| US20200397322A1 (en) * | 2019-06-18 | 2020-12-24 | Analytics For Life Inc. | Method and system to assess disease using dynamical analysis of biophysical signals |
| 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 |
-
2022
- 2022-01-13 CN CN202210035982.2A patent/CN114366090B/en active Active
Patent Citations (15)
| 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 |
| US20070118028A1 (en) * | 2005-10-31 | 2007-05-24 | Konica Minolta Sensing, Inc. | Pulse wave analyzing device |
| US20110190192A1 (en) * | 2009-12-15 | 2011-08-04 | Cebix Inc. | Methods for treating erectile dysfunction in patients with insulin-dependent diabetes |
| US20120209095A1 (en) * | 2011-02-15 | 2012-08-16 | General Electric Company | Sensor, apparatus and method for non-invasively monitoring blood characteristics of a subject |
| 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 |
| US20140243612A1 (en) * | 2013-02-22 | 2014-08-28 | Biosign Technologies, Inc. | Simultanious multi-parameter physiological monitoring device with local and remote analytical capability |
| 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 |
| US20190274601A1 (en) * | 2016-05-19 | 2019-09-12 | Leman Micro Devices Sa | Non-invasive blood analysis |
| 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 |
| US20200397322A1 (en) * | 2019-06-18 | 2020-12-24 | Analytics For Life Inc. | Method and system to assess disease using dynamical analysis of biophysical signals |
| 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 |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116889388A (en) * | 2023-09-11 | 2023-10-17 | 长春理工大学 | Intelligent detection system and method based on rPPG technology |
| CN116889388B (en) * | 2023-09-11 | 2023-11-17 | 长春理工大学 | Intelligent detection system and method based on rPPG technology |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114366090B (en) | 2024-02-02 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US5383452A (en) | Method, apparatus and procedure for non-invasive monitoring blood glucose by measuring the polarization ratio of blood luminescence | |
| CA2140239C (en) | Non-invasive testing | |
| CN103149177B (en) | Device and method for detecting biological tissue of pressure modulation near infrared spectrum | |
| CN103948393B (en) | A kind of near infrared no-wound detection method of blood constituent content and device | |
| KR20090092680A (en) | The apparatus and method for analyzing components of urine in toilet by using minature atr infrared spectroscopy | |
| JPH09503585A (en) | Non-spectrophotometric measurement of analyte concentration and optical properties of objects | |
| WO1996013202A1 (en) | Non-invasive determination of analyte concentration in body of mammals | |
| CN102198004A (en) | Noninvasive near-infrared electronic blood-glucose meter | |
| CN100998499A (en) | Determination of a measure of a glycation end-product or disease state using tissue fluorescence | |
| CN104266996A (en) | Multifunctional non-invasive and portable medical detection device and method based on near-infrared spectrum analysis | |
| CN114366090B (en) | Blood component verification method integrating multiple measurement mechanisms | |
| CN204666826U (en) | The continuous safety check imaging device of a kind of Terahertz | |
| CN112190247A (en) | Heart rate detection method, heart rate detection device and mobile terminal | |
| CN111513728A (en) | Multi-technology fused noninvasive blood glucose detection device and measurement method | |
| KR102164926B1 (en) | Non-Invasive Glucose Sensor | |
| JPH09113439A (en) | Method and apparatus for measuring organic component | |
| US6801316B2 (en) | Measurement of an analyte concentration in a scattering medium | |
| CN203303031U (en) | Diabetes non-invasive detecting device based on glycation end product fluorescence spectrum | |
| CN205126251U (en) | Microwave non -invasive glucose measuring device | |
| CN112568902A (en) | Noninvasive blood glucose calibration method based on blood glucose value | |
| CN104224198A (en) | Multi-function portable noninvasive medical treatment detection device and method based on Raman scattering | |
| CN205251548U (en) | Terahertz is blood glucose measurement device now | |
| CN204666538U (en) | A kind of blood glucose measuring device based on millimeter wave | |
| CN103245650A (en) | Noninvasive diabetes detection device based on advanced glycation end product fluorescence spectrum | |
| CN110575182A (en) | Method and device for detecting blood sugar |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |