CN111700628A - Noninvasive blood glucose detection system based on infrared transmission light path - Google Patents
Noninvasive blood glucose detection system based on infrared transmission light path Download PDFInfo
- Publication number
- CN111700628A CN111700628A CN202010721608.9A CN202010721608A CN111700628A CN 111700628 A CN111700628 A CN 111700628A CN 202010721608 A CN202010721608 A CN 202010721608A CN 111700628 A CN111700628 A CN 111700628A
- Authority
- CN
- China
- Prior art keywords
- sensor
- human body
- temperature sensor
- blood glucose
- light path
- 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.)
- Pending
Links
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 or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
- A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or 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
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0008—Temperature signals
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/002—Monitoring the patient using a local or closed circuit, e.g. in a room or building
-
- 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 for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
- A61B5/0205—Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
- A61B5/02055—Simultaneously evaluating both cardiovascular condition and temperature
-
- 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 for evaluating the cardiovascular system, e.g. pulse, heart rate, blood pressure or blood flow
- A61B5/024—Measuring pulse rate or heart rate
-
- 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 or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or cerebral tissue
- A61B5/1455—Measuring characteristics of blood in vivo, e.g. gas concentration or pH-value ; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid or 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
- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
- A61B5/6801—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
- A61B5/6844—Monitoring or controlling distance between sensor and tissue
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
- A61B2560/02—Operational features
- A61B2560/0242—Operational features adapted to measure environmental factors, e.g. temperature, pollution
- A61B2560/0247—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value
- A61B2560/0252—Operational features adapted to measure environmental factors, e.g. temperature, pollution for compensation or correction of the measured physiological value using ambient temperature
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Veterinary Medicine (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Physiology (AREA)
- Cardiology (AREA)
- Computer Networks & Wireless Communication (AREA)
- Optics & Photonics (AREA)
- Pulmonology (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Emergency Medicine (AREA)
- Artificial Intelligence (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Psychiatry (AREA)
- Signal Processing (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
Abstract
The invention discloses a noninvasive blood glucose detection system based on an infrared transmission light path. The infrared light path comprises a light source, a filter, a first light beam adjusting component, a second light beam adjusting component and a photoelectric sensor in sequence. The system also comprises a human body temperature sensor, a heart rate sensor, a human body radiation temperature sensor, a distance sensor, an environment temperature sensor, a signal processing module, a Bluetooth module and a computer; the human body temperature sensor and the heart rate sensor are attached to the human body part to be measured, and relevant parameters of the human body part to be measured are obtained; the human body radiation temperature sensor is used for detecting the radiation temperature of the part to be detected of the human body, and the distance sensor is used for detecting the distance between the human body radiation temperature sensor and the part to be detected of the human body; the environment temperature sensor is used for detecting the environment temperature; the signal processing module is used for processing the information of each sensor and sending the processed information number to the computer through the Bluetooth module; the computer calculates the blood sugar concentration value of the human body according to the information of the sensors.
Description
Technical Field
The invention relates to the field of blood sugar detection, in particular to a noninvasive blood sugar detection system based on an infrared transmission light path.
Background
Currently, there are two conventional blood glucose detection methods: venous blood testing and electrochemical blood glucose testing. Both methods are invasive or minimally invasive and can cause some trauma to the patient's body. Especially blood glucose management is a long-term process and invasive or minimally invasive methods are putting a great strain on the body, mind and economy of diabetics. Therefore, the truly noninvasive blood glucose detection device has important significance for long-term blood glucose management of diabetics, physical and psychological damage reduction, economic stress reduction and the like, and has a great promoting effect on improvement of the health level of the whole nation.
There are a variety of principles and ways of non-invasive blood glucose detection. Among them, infrared spectroscopy is considered to be one of the more ideal methods for noninvasive blood glucose detection. However, the noninvasive blood glucose detecting device in the prior art has the problems of low measurement precision, large individual difference and the like.
Disclosure of Invention
The invention aims to provide a noninvasive blood glucose detecting system based on an infrared transmission light path, which can solve one or more of the technical problems.
In order to achieve the purpose, the technical scheme provided by the invention is as follows:
a noninvasive blood glucose detection system based on an infrared transmission light path. The device comprises a light source, a filter, a first light beam adjusting component, a part to be measured of a human body, a second light beam adjusting component and a photoelectric sensor in sequence according to the light path of infrared transmission light.
The system also comprises a human body temperature sensor, a heart rate sensor, a human body radiation temperature sensor, a distance sensor, an environment temperature sensor, a signal processing module, a Bluetooth module and a computer;
the human body temperature sensor and the heart rate sensor are attached to the human body part to be measured, and relevant parameters of the human body part to be measured are obtained;
the human body radiation temperature sensor is used for detecting the radiation temperature of the part to be detected of the human body, and the distance sensor is used for detecting the distance between the human body radiation temperature sensor and the part to be detected of the human body;
the environment temperature sensor is used for detecting the environment temperature;
the distance between the environment temperature sensor and the part to be measured of the human body is L1(ii) a The distance between the human body radiation temperature sensor and the part to be measured of the human body is L2；L1＞L2；
The signal processing module is used for processing the information of each sensor and sending the processed information to a computer through the Bluetooth module;
and the computer calculates and obtains the blood glucose concentration value of the part to be measured of the human body through the information of the sensors.
The specific using steps of the invention are as follows:
(1) a light filter device and a light beam adjusting component (a first light beam adjusting component and a second light beam adjusting component) are arranged on a light path of a light source emergent light beam, and the light beam adjusting component adjusts light beam parameters or propagation behavior characteristics to realize the propagation direction of the light beam for noninvasive blood sugar detection;
(2) the light source light beam irradiates the fingertip of the detected person, the human body part to be detected of the detected person has light absorption, and the light beam transmits the fingertip of the detected person to form a transmission light beam, so that transmission of the transmission light beam signal is realized;
(3) the transmission light beam is received by the photoelectric sensor, the photoelectric sensor detects and records a transmission light beam signal, and the conversion of light and an electric signal is realized according to the detection result of the photoelectric sensor;
(4) the body temperature sensor which is directly contacted with the fingertip of the detected person measures the body surface temperature of the detected person, when the body surface temperature is abnormal, a prompt is set and the detection data is canceled, so that the influence of temperature fluctuation on the blood sugar detection precision is reduced;
(5) the heart rate sensor directly contacted with the fingertip of the detected person measures the heart rate of the detected person, and a prompt is set when the heart rate is abnormal, and the detection data is invalidated, so that the influence of heart rate fluctuation on the detection precision is reduced;
(6) the radiation temperature sensor and the distance sensor which are not in contact with the fingertip of the detected person measure the body surface radiation temperature of the detected person.
In the subsequent blood sugar detection link, the body surface radiation temperature is a very important parameter, the infrared thermopile is adopted to measure the body surface radiation temperature, the temperature measurement distance in the method has very great influence on the measurement precision, and a distance sensor is added for accurately obtaining the body surface radiation temperature of a detected person.
(7) The environment temperature sensor measures the environment temperature and is far away from the fingertip of the detected person, so that the working process is not interfered by the detected person and the radiation temperature.
(8) The signals obtained by the photoelectric sensor, the temperature sensor and the heart rate sensor are received by the signal processing module, the signal processing module amplifies and filters the detected electric signals and then enters the microcontroller, the microcontroller performs A/D conversion through Bluetooth and transmits the data to the mobile terminal (computer), and the blood glucose information of the detected person is calculated through mathematical models of various influence parameters established in the computer and displayed on a screen.
In the prior art, the connection between the signal processing module, the bluetooth module and the microcontroller and the signal processing manner are not described in detail.
Preferably: the human body part to be measured includes one of a finger or an earlobe.
Preferably: the filter device is any one of an infrared filter and a band-pass filter.
Preferably: the first light beam adjusting component and the second light beam adjusting component are the same and are any one of a lens type light beam adjusting component, a reflection type light beam adjusting component, an acousto-optic modulator, an electro-optic modulator, a liquid crystal light beam adjusting component and a micro-nano structure light beam adjusting component.
Preferably: the photoelectric sensor is any one of a photodiode array, a phototriode array, an avalanche transistor array, a photomultiplier array, a charge coupled device and a complementary metal oxide semiconductor electric sensor.
Preferably: the human body temperature sensor is any one of a pressure temperature sensor, a resistance temperature sensor, a thermocouple temperature sensor and an infrared temperature sensor.
Preferably: the heart rate sensor is any one of a piezoelectric heart rate sensor, a piezoresistive heart rate sensor and a photoelectric heart rate sensor.
Preferably: the human body radiation temperature sensor is any one of a pyroelectric type sensor, a thermopile type sensor, a diode type sensor, a pyroelectric capacity type sensor and a thermistor type sensor.
Preferably: the distance sensor is any one of an ultrasonic distance measuring sensor, a laser distance measuring sensor and an infrared distance measuring sensor.
Preferably: the environment temperature sensor is any one of a pressure temperature sensor, a resistance temperature sensor, a thermocouple temperature sensor and an infrared temperature sensor.
The invention has the technical effects that:
according to the invention, a noninvasive blood glucose detection system is constructed by near-infrared transmission spectroscopy, and individual differences are reduced and the blood glucose detection precision is improved by adding temperature, distance and heart rate sensors.
The invention aims to provide a noninvasive blood glucose detection optical path system based on an infrared spectroscopy, which is based on a near-infrared transmission spectroscopy technology, combines a temperature sensor, a distance sensor and a heart rate sensor, improves the accuracy of noninvasive blood glucose detection, and has the advantages of noninvasive detection, high reliability, strong anti-interference energy and easy system construction.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention.
In the drawings:
fig. 1 is a schematic structural diagram of an embodiment of the present invention.
FIG. 2 is a block diagram of a module of the present invention.
Fig. 3 is a schematic diagram of a specific device structure in the use process of the system.
Fig. 4 is a schematic structural diagram of the first beam adjustment unit in fig. 3.
Detailed Description
The present invention will now be described in detail with reference to the drawings and specific embodiments, wherein the exemplary embodiments and descriptions are provided only for the purpose of illustrating the present invention and are not to be construed as unduly limiting the invention.
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments according to the present application. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are, for example, capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The present invention will be described in detail below by taking fingertips as an example.
As shown in fig. 1 and 2, the noninvasive blood glucose detecting system based on the infrared transmission light path. The device comprises a light source, a filter, a first light beam adjusting component, a part to be measured of a human body, a second light beam adjusting component and a photoelectric sensor in sequence according to the light path of infrared transmission light. The above devices constitute an optical system.
Still include human temperature sensor, rhythm of the heart sensor, human body radiation temperature sensor, distance sensor, ambient temperature sensor, signal processing module, bluetooth module, computer. The above components constitute a blood sugar detection system.
The human body temperature sensor and the heart rate sensor are attached to the human body part to be measured, and relevant parameters of the human body part to be measured are obtained;
the human body radiation temperature sensor is used for detecting the radiation temperature of the part to be detected of the human body, and the distance sensor is used for detecting the distance between the human body radiation temperature sensor and the part to be detected of the human body; the environment temperature sensor is used for detecting the environment temperature;
the distance between the environment temperature sensor and the part to be measured of the human body is L1(ii) a The distance between the human body radiation temperature sensor and the part to be measured of the human body is L2；L1＞L2。
The body temperature sensor and the heart rate sensor are in direct contact with the fingertip of the detected person and are used for measuring the body surface temperature and the heart rate of the detected person; the radiation temperature sensor and the distance sensor are in non-contact with the detected person, and the body surface radiation test of the detected person is accurately measured; the environment temperature sensor is far away from a detected person, so that the working process is not interfered.
The signal processing module is used for processing the information of each sensor and sending the processed information to a computer through the Bluetooth module;
the signal processing module comprises an amplifying circuit, a filter circuit and a microcontroller; the hardware interaction module comprises a screen, a key and Bluetooth. The computer comprises a screen, a keyboard (or keys) and a Bluetooth receiving module.
And the computer calculates and obtains the blood glucose concentration value of the part to be measured of the human body through the information of the sensors.
Light emitted by the light source firstly passes through the light filtering device, irradiates to the fingertip of a detected person after being focused, is focused again after being transmitted by the fingertip of the detected person, the photoelectric sensor detects transmitted light field information and converts an optical signal into an electric signal, the signal processing module amplifies and filters the electric signal, the electric signal and signals obtained by the temperature sensor and the heart rate sensor enter the microcontroller together, and the Bluetooth module completes A/D conversion of the signals and transmits the data to the mobile terminal. The mathematical model is established by a nonlinear adaptive multiple regression analysis method, the complexity of the model can be reduced, the weight quantity is reduced, effective feature extraction is carried out, and the blood glucose concentration value is calculated by sectional probability admission.
The specific implementation steps of this embodiment are:
a light path of an emergent beam of the light source 1 is provided with a filter device 2 for adjusting the emergent beam to form a required light source; the first and second beam adjustment members 3 and 4 change the beam propagation behavior characteristics.
In this embodiment, the light source 1 is a near-infrared laser diode, the light beam adjusting component 2 is a narrow-band filter for filtering the light beam emitted from the light source to form light with a required specific wavelength, the light beam adjusting component 3 is a focusing lens for adjusting the position of the light beam spot emitted from the light source to focus the light spot on a specific position of a detected person, and the light beam adjusting component 4 is a focusing lens for adjusting the position of the transmitted light beam spot to focus the transmitted light beam into the photoelectric sensor 5;
and (2) focusing the light source emergent beam to the fingertip 7 of the detected person through the light beam adjusting component 3, wherein the fingertip 7 of the detected person has light absorption, and the emergent beam penetrates through the fingertip 7 of the detected person to form a transmission beam. In the present embodiment, the first beam adjustment member 3 is a focus lens.
And (3) the transmitted light beam is received by the photoelectric sensor 5 through the second light beam adjusting component 4. In this embodiment, the beam adjusting component 4 is a focusing lens, the photosensor 5 is a photodiode, and the photodiode detects and records the transmitted beam signal to realize the optical-electrical conversion of the transmitted beam signal;
and (4) measuring the body surface temperature of the detected person by the body temperature sensor 8 directly contacted with the fingertip 7 of the detected person. In this embodiment, the body temperature sensor 8 is an infrared temperature sensor, the infrared temperature sensor measures the body surface temperature of the detected person, when the body surface temperature is abnormal, a prompt is set and the detection data is invalidated, so that the influence of temperature fluctuation on the detection precision is reduced;
and (5) measuring the heart rate of the detected person by the heart rate sensor 9 directly contacted with the fingertip 7 of the detected person. In this embodiment, the heart rate sensor 9 is a piezoelectric heart rate sensor, the piezoelectric heart rate sensor measures the heart rate of the detected person, and when the heart rate is abnormal, a prompt is set and the detection data is invalidated, so that the influence of heart rate fluctuation on the detection precision is reduced;
and (6) measuring the body surface radiation temperature of the detected person by the radiation temperature sensor 11 and the distance sensor 10 which are not in contact with the fingertip 7 of the detected person. In this embodiment, the radiation temperature sensor 11 is an infrared thermopile type sensor, the distance sensor 10 is an infrared distance measuring sensor, the temperature measuring distance in the body surface radiation temperature measuring method adopted by the invention has a great influence on the measuring precision, and in order to accurately obtain the body surface radiation temperature of the detected person, the distance sensor is added in the invention for reducing the influence of the distance on the body surface radiation temperature detecting precision;
and (7) measuring the ambient temperature by the ambient temperature sensor 12. In this embodiment, the ambient temperature sensor 12 is an infrared temperature sensor, and is far away from the fingertip of the detected person (for example, a distance of 1 meter) during the operation process, so as to ensure that the interference from the detected person and the radiation temperature is avoided.
And (8) receiving data obtained by the photoelectric sensor, the temperature sensor and the heart rate sensor by a blood glucose detection system 6 (formed by multiple components and mainly comprising a signal processing module, a Bluetooth module and a computer). In this embodiment, the signal processing module amplifies and filters the electric signal, and enters the microcontroller together with the signals obtained by the temperature sensor and the heart rate sensor, and the bluetooth module completes the A/D conversion of the signals and transmits the data to the mobile terminal. A mathematical model is established by a nonlinear adaptive multiple regression analysis method, and the blood glucose concentration value is calculated and displayed on a screen by sectional probability admission.
The establishment process of the algorithm model is as follows: the non-invasive detection of blood glucose is based on the principle of conservation of energy metabolism, so the blood glucose depth level can be expressed as:
GLU＝f(M,SPO2,BF,PF,ξ)
wherein GLU is the blood glucose concentration level, M is the metabolic heat production rate, SPO2Since the blood oxygen saturation level is BF, the blood flow rate is BF, the pulse rate is PF, and ξ is a correction factor, the blood glucose level can be estimated by measuring the above 5 parameters.
The physiology shows that the heat dissipation of a human body is mainly carried out through the skin, and the skin heat dissipation has four main modes, namely radiation heat dissipation, conduction heat dissipation, convection heat dissipation and evaporation heat dissipation in sequence, wherein the radiation heat dissipation accounts for 60% of the heat dissipation of the skin of the human body, so that the body surface radiation temperature is required to be accurately measured, the measurement precision of the metabolic heat generation rate M is improved, and the precision of the noninvasive blood glucose detection is further improved.
Based on an energy metabolism conservation method and by a nonlinear adaptive multiple regression analysis method, the constructed mathematical model of the noninvasive blood glucose is as follows:
wherein (α)10,...,α13,α20,...,α23,α30,...,α33,α40,...,α43) The nonlinear regression coefficient matrix is a 4 × 4 matrix, and ζ is a correction coefficient.
In practical applications, the model has poor convergence in a wide range due to the fluctuation of multiple parameters such as heart rate. Therefore, a segmentation probability admittance model is provided, namely, the model is used for respectively solving the corresponding parameters aiming at different blood sugar wave bands, so that the model has good accuracy and good regression in different segments.
The method comprises the following steps of dividing blood sugar into j +1 sections (0, GLU 1), (GLU1, GLU 2), …, (GLUj-1, GLUj ], (GLUj, infinity)), wherein the j +1 sections are total, the specific sections can be partially crossed and overlapped according to actual requirements, and adjacent sections can be partially crossed and overlapped.
Where i is 1,2 … k, k can be set according to actual conditions.
The invention successfully realizes the non-invasive blood sugar detection of the fingertip 7 of the detected person. The invention has the characteristics of non-invasive detection, high reliability, strong anti-interference energy, easy system construction and the like.
As shown in fig. 3, for convenience of use, the system further includes a vertical column 13, and a light source frame, a filter frame, a first light beam adjusting frame, a second light beam adjusting frame, and a photoelectric sensor frame are sequentially disposed on the vertical column from top to bottom; the end parts of the upright posts are hinged with a first auxiliary post 132 and a second auxiliary post 131; the human body temperature sensor and the heart rate sensor are connected to the upright post 13 through flexible wires.
As shown in fig. 4, the first beam adjustment frame and the second beam adjustment frame are identical in structure and include a fixed frame 1303, an elastic member 1306 (e.g., a compression spring), a bolt 1305, and a movable frame 1304. The fixing frame is fixed on the upright post 13. The movable frame is positioned below the fixed frame, and the bolt penetrates through the fixed frame and is in spiral connection with the movable frame; an elastic piece is arranged between the movable frame and the fixed frame, and the bolt is adjusted up and down to change the elasticity of the elastic piece so as to realize fine adjustment of the distance between the movable frame and the fixed frame.
The radiation temperature sensor and the distance sensor are arranged on the first auxiliary column; and the ambient temperature sensor is arranged at the top end of the second auxiliary column. The second auxiliary column is a telescopic column, and the length of the second auxiliary column is at least one meter.
The using process is as follows: the stand is held by hands, a human body part is placed between the first light beam adjusting frame and the second light beam adjusting frame, the detection result is sent to the computer through the Bluetooth, and the internal model of the computer performs comprehensive calculation to obtain the blood sugar value.
In addition, still include the base, set up wireless charging device between base and the stand, the light source is wireless charging. The specific structure of the wireless charging is not elaborated.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A noninvasive blood glucose detection system based on an infrared transmission light path; the method is characterized in that:
the device comprises a light source, a filter, a first light beam adjusting component, a part to be measured of a human body, a second light beam adjusting component and a photoelectric sensor in sequence according to the light path of infrared transmission light;
the system also comprises a human body temperature sensor, a heart rate sensor, a human body radiation temperature sensor, a distance sensor, an environment temperature sensor, a signal processing module, a Bluetooth module and a computer;
the human body temperature sensor and the heart rate sensor are attached to the human body part to be measured, and relevant parameters of the human body part to be measured are obtained; the human body radiation temperature sensor is used for detecting the radiation temperature of the part to be detected of the human body, and the distance sensor is used for detecting the distance between the human body radiation temperature sensor and the part to be detected of the human body;
the environment temperature sensor is used for detecting the environment temperature;
the distance between the environment temperature sensor and the part to be measured of the human body is L1(ii) a The distance between the human body radiation temperature sensor and the part to be measured of the human body is L2；L1＞L2；
The signal processing module is used for processing the information of each sensor and sending the processed information to a computer through the Bluetooth module;
and the computer calculates and obtains the blood glucose concentration value of the part to be measured of the human body through the information of the sensors.
2. The infrared transmission light path based non-invasive blood glucose detection system of claim 1; the method is characterized in that: the human body part to be measured includes one of a finger or an earlobe.
3. The infrared transmission light path based non-invasive blood glucose detection system of claim 1; the method is characterized in that: the filter device is any one of an infrared filter and a band-pass filter.
4. The infrared transmission light path based non-invasive blood glucose detection system of claim 1; the method is characterized in that: the first light beam adjusting component and the second light beam adjusting component are the same and are any one of a lens type light beam adjusting component, a reflection type light beam adjusting component, an acousto-optic modulator, an electro-optic modulator, a liquid crystal light beam adjusting component and a micro-nano structure light beam adjusting component.
5. The infrared transmission light path based non-invasive blood glucose detection system of claim 1; the method is characterized in that: the photoelectric sensor is any one of a photodiode array, a phototriode array, an avalanche transistor array, a photomultiplier array, a charge coupled device and a complementary metal oxide semiconductor electric sensor.
6. The infrared transmission light path based non-invasive blood glucose detection system of claim 1; the method is characterized in that: the human body temperature sensor is any one of a pressure temperature sensor, a resistance temperature sensor, a thermocouple temperature sensor and an infrared temperature sensor.
7. The infrared transmission light path based non-invasive blood glucose detection system of claim 1; the method is characterized in that: the heart rate sensor is any one of a piezoelectric heart rate sensor, a piezoresistive heart rate sensor and a photoelectric heart rate sensor.
8. The infrared transmission light path based non-invasive blood glucose detection system of claim 1; the method is characterized in that: the human body radiation temperature sensor is any one of a pyroelectric type sensor, a thermopile type sensor, a diode type sensor, a pyroelectric capacity type sensor and a thermistor type sensor.
9. The infrared transmission light path based non-invasive blood glucose detection system of claim 1; the method is characterized in that: the distance sensor is any one of an ultrasonic distance measuring sensor, a laser distance measuring sensor and an infrared distance measuring sensor.
10. The infrared transmission light path based non-invasive blood glucose detection system of claim 1; the method is characterized in that: the environment temperature sensor is any one of a pressure temperature sensor, a resistance temperature sensor, a thermocouple temperature sensor and an infrared temperature sensor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010721608.9A CN111700628A (en) | 2020-07-24 | 2020-07-24 | Noninvasive blood glucose detection system based on infrared transmission light path |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010721608.9A CN111700628A (en) | 2020-07-24 | 2020-07-24 | Noninvasive blood glucose detection system based on infrared transmission light path |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111700628A true CN111700628A (en) | 2020-09-25 |
Family
ID=72547659
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010721608.9A Pending CN111700628A (en) | 2020-07-24 | 2020-07-24 | Noninvasive blood glucose detection system based on infrared transmission light path |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111700628A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112515667A (en) * | 2020-12-01 | 2021-03-19 | 戴昊霖 | Noninvasive blood glucose estimation method |
| CN112842259A (en) * | 2020-11-26 | 2021-05-28 | 山东宝盛鑫信息科技有限公司 | Online dispersion method for specific crowd |
| CN113171086A (en) * | 2021-03-31 | 2021-07-27 | 合肥铭源鸿医疗科技有限公司 | A blood sugar monitoring device |
| CN114397334A (en) * | 2021-12-28 | 2022-04-26 | 乐普（北京）医疗器械股份有限公司 | Noninvasive blood glucose analysis system |
| CN114739945A (en) * | 2022-05-16 | 2022-07-12 | 四川启睿克科技有限公司 | Method for bidirectionally correcting noninvasive detection blood glucose near infrared spectrum data |
| CN115736913A (en) * | 2022-11-14 | 2023-03-07 | 安徽奇智科技有限公司 | Noninvasive blood glucose detection method and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1579322A (en) * | 2004-05-21 | 2005-02-16 | 天津大学 | Time-domain light-deivisding differential wavelength spectro meter for detecting artery blood content and detection method thereof |
| CN107714049A (en) * | 2017-09-08 | 2018-02-23 | 上海乐糖信息科技有限公司 | Noninvasive Blood Glucose Detection Methods, system and device based on Multi-information acquisition |
| CN107802255A (en) * | 2017-11-30 | 2018-03-16 | 杭州电子科技大学 | A kind of blood glucose level data processing method and processing device based on metabolic method |
| CN209342243U (en) * | 2019-03-11 | 2019-09-03 | 南京慧和建筑技术有限公司 | An anti-condensation device for detecting the capillary radiation temperature of the three-constant system |
| CN111351583A (en) * | 2020-03-24 | 2020-06-30 | 广州尚衡信息科技有限公司 | Temperature correction method for infrared temperature measurement and infrared thermal imager |
| CN212382618U (en) * | 2020-07-24 | 2021-01-22 | 合肥铭源鸿医疗科技有限公司 | Noninvasive blood glucose detection system based on infrared transmission light path |
-
2020
- 2020-07-24 CN CN202010721608.9A patent/CN111700628A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1579322A (en) * | 2004-05-21 | 2005-02-16 | 天津大学 | Time-domain light-deivisding differential wavelength spectro meter for detecting artery blood content and detection method thereof |
| CN107714049A (en) * | 2017-09-08 | 2018-02-23 | 上海乐糖信息科技有限公司 | Noninvasive Blood Glucose Detection Methods, system and device based on Multi-information acquisition |
| CN107802255A (en) * | 2017-11-30 | 2018-03-16 | 杭州电子科技大学 | A kind of blood glucose level data processing method and processing device based on metabolic method |
| CN209342243U (en) * | 2019-03-11 | 2019-09-03 | 南京慧和建筑技术有限公司 | An anti-condensation device for detecting the capillary radiation temperature of the three-constant system |
| CN111351583A (en) * | 2020-03-24 | 2020-06-30 | 广州尚衡信息科技有限公司 | Temperature correction method for infrared temperature measurement and infrared thermal imager |
| CN212382618U (en) * | 2020-07-24 | 2021-01-22 | 合肥铭源鸿医疗科技有限公司 | Noninvasive blood glucose detection system based on infrared transmission light path |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112842259A (en) * | 2020-11-26 | 2021-05-28 | 山东宝盛鑫信息科技有限公司 | Online dispersion method for specific crowd |
| CN112515667A (en) * | 2020-12-01 | 2021-03-19 | 戴昊霖 | Noninvasive blood glucose estimation method |
| CN113171086A (en) * | 2021-03-31 | 2021-07-27 | 合肥铭源鸿医疗科技有限公司 | A blood sugar monitoring device |
| CN113171086B (en) * | 2021-03-31 | 2024-11-08 | 合肥铭源鸿医疗科技有限公司 | A blood sugar monitoring device |
| CN114397334A (en) * | 2021-12-28 | 2022-04-26 | 乐普（北京）医疗器械股份有限公司 | Noninvasive blood glucose analysis system |
| CN114397334B (en) * | 2021-12-28 | 2024-05-07 | 乐普（北京）医疗器械股份有限公司 | A non-invasive blood glucose analysis system |
| CN114739945A (en) * | 2022-05-16 | 2022-07-12 | 四川启睿克科技有限公司 | Method for bidirectionally correcting noninvasive detection blood glucose near infrared spectrum data |
| CN115736913A (en) * | 2022-11-14 | 2023-03-07 | 安徽奇智科技有限公司 | Noninvasive blood glucose detection method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111700628A (en) | Noninvasive blood glucose detection system based on infrared transmission light path | |
| CN105559794B (en) | A kind of Wearable hurtless measure Dynamic Blood Glucose Monitoring instrument based on optoacoustic spectrum signature | |
| CN102293654B (en) | Non-invasive blood glucose detector based on metabolic heat-optical method | |
| CN110123339B (en) | Noninvasive blood glucose measuring device and method | |
| CN102755167B (en) | Device and method for non-invasive blood glucose monitoring and analysis method for biochemical molecules | |
| US20060009698A1 (en) | Hand-held monitor for measuring vital signs | |
| CN103190917B (en) | Laser Raman technique-based glucometer | |
| CN207721812U (en) | A kind of Woundless blood sugar concentration detector | |
| WO2018214298A1 (en) | Non-invasive blood glucose detection system and method | |
| CN101799412A (en) | Near infrared spectral transmission method and device for non-invasive measurement of blood sugar for human body | |
| CA2131715A1 (en) | Blood chemistry measurement by stimulated infrared emission | |
| CN105962949A (en) | Noninvasive blood glucose calculating method based on near-infrared light energy conservation law and signal collecting device | |
| WO2018214297A1 (en) | Portable device and method for non-invasive blood glucose detection | |
| KR102649561B1 (en) | Non-Invasive Biometric Sensor Based on Organic Photodetector | |
| Li et al. | Research on non-invasive glucose concentration measurement by NIR transmission | |
| CN111466921A (en) | Non-invasive blood glucose detector and detection method based on multi-source information perception and fusion | |
| CN201564481U (en) | Non-invasive blood glucose testing analyzer | |
| CN107684431B (en) | Noninvasive portable blood glucose meter based on array CCD | |
| CN104873207A (en) | Terahertz wave-based continuous blood glucose measurement system | |
| CN108324286A (en) | A kind of infrared light noninvasive dynamics monitoring device based on PCA-NARX correcting algorithms | |
| CN101696931B (en) | Method and device for nondestructively testing material concentration | |
| CN212382618U (en) | Noninvasive blood glucose detection system based on infrared transmission light path | |
| CN206261605U (en) | A kind of noninvasive portable glucose meter based on array CCD | |
| CN204654954U (en) | A kind of Terahertz continuous blood sugar measuring apparatus | |
| EP4175538A1 (en) | Device for non-invasive blood glucose concentration measurement |
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 |