A combined wearable non-invasive blood sugar measurement device

By combining wearable non-invasive blood sugar measurement device, a special breathing valve is used to obtain respiratory frequency and depth data, and combined with heart rate data to correct the blood sugar estimation of metabolic heat integration method, solving the problem of accurate blood sugar measurement in non-rest states, real-time, Continuous blood sugar monitoring.

CN115886805BActive Publication Date: 2024-12-24JIAXING UNIV +1
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Patent Information

Application Number
CN202211459012.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-11-17
Publication Date
2024-12-24
Estimated Expiration
2042-11-17

AI Technical Summary

Technical Problem

The existing blood glucose measurement methods are not very accurate in non-rest states, and cannot achieve real-time and continuous blood glucose monitoring, especially because measurement errors caused by human physiological tissue interference and individual differences are difficult to compensate.

Method used

A combined wearable blood sugar non-invasive measurement device was designed, combining bracelets and mask wearable devices, and the breathing frequency and breathing depth data were obtained through a special breathing valve, and combined with heart rate data, the blood sugar estimation results of metabolic heat integration were corrected to achieve Blood glucose measurements in non-rest states.

Benefits of technology

Accurate, continuous and real-time measurement of blood sugar in a non-rest state is achieved, and the accuracy and reliability of blood sugar monitoring is improved.

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Abstract

The present invention discloses a combined wearable non-invasive blood glucose measurement device, comprising a wristband wearable device and a mask wearable device. The mask wearable device is equipped with a special breathing valve on the mask, and the breathing valve is equipped with a pressure sensor unit to obtain human respiratory frequency and breathing depth data, and is connected to the wristband wearable device through a data transmission channel. The wristband wearable device is composed of a measurement sensor module, a memory module and a processor module. Among them, the measurement sensor module includes a temperature and humidity sensor, a heart rate sensor, a blood flow rate sensor, and a blood oxygen sensor unit; the memory module is used to store data; the processor module reads data from the memory module and obtains blood glucose measurement results through calculation processing. The present invention is a wearable blood glucose non-invasive measurement solution that can be worn for a long time and perform continuous and real-time blood glucose measurement.
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Description

Technical Field

[0001] The present invention relates to the technical field of blood sugar measurement, in particular to a combined wearable blood sugar non-invasive measurement device. Background Art

[0002] Diabetes is a metabolic disease with multiple causes. Data show that in 2021, the number of adults with diabetes worldwide has reached 537 million, affecting about one in ten adults, highlighting the alarming increase in the global prevalence of diabetes. With the increasing number of patients and the younger age of the patient population, diabetes has gradually become the third largest chronic disease after cardiovascular disease and tumor diseases, and the threat to human health is increasing year by year. In order to achieve timely diagnosis and auxiliary treatment of diabetes, frequent blood sugar measurements are required. Therefore, convenient and accurate blood sugar measurement methods are extremely important.

[0003] In addition to invasive blood glucose measurement technologies such as biochemical blood sampling or surgical implantation of sensors, optical measurement is widely used due to its convenience, painlessness, high speed and high precision in principle. However, this type of method still has problems such as serious interference from human physiological tissues, strong time-varying physiological background, and individual differences. Therefore, the accuracy of blood glucose measurement by this measurement method is not high. The metabolic heat integration method calculates blood glucose by testing physiological parameters related to human metabolism and basic physiological information of the human body. Although there are problems such as more measurement data and difficulty in parameter coupling, the multi-modal human physiological parameters ensure a higher blood glucose accuracy.

[0004] However, the metabolic heat integration method requires the body to remain in a resting state, and cannot accurately measure blood glucose in a non-resting state. It has not been applied to real-time blood glucose measurement in humans. In order to solve this problem, the influence of the body's external work should be considered in a reasonable manner in the non-resting state of the human body, and corresponding compensation adjustments should be made to blood glucose measurement. Summary of the invention

[0005] The purpose of the present invention is to provide a combined wearable non-invasive blood glucose measurement device to address the shortcomings of traditional blood glucose measurement methods. The device can be worn for a long time and can perform continuous and real-time blood glucose measurement. The present invention designs a special breathing valve to obtain breathing rate and breathing depth data. The present invention combines heart rate, breathing rate and breathing depth data to correct the blood glucose estimation data of the metabolic heat integration method, and can achieve accurate measurement of blood glucose in a non-resting state.

[0006] The present invention adopts the following technical scheme to achieve the above-mentioned invention object: a combined wearable non-invasive blood glucose measurement device, including a wristband wearing device and a mask wearing device;

[0007] The mask wearing device includes a mask, a special breathing valve, a data transmission channel and a fixing clip, wherein the special breathing valve is arranged on the mask, and the special breathing valve is connected to the bracelet wearing device through the data transmission channel, and the data transmission channel is fixed to the mask through the fixing clip to prevent the data transmission channel from being pulled by human body movement;

[0008] The special breathing valve comprises an outer end cover of the mask, a varistor, a wiring hole, a conical valve sheet, and an inner end cover of the mask; a varistor and a conical valve sheet are installed between the outer end cover of the mask and the inner end cover of the mask, the conical valve sheet is a conical structure, and a wiring hole for arranging a data transmission channel is provided on the side of the outer end cover of the mask;

[0009] The wristband wearable device includes a measurement sensor module, a memory module and a processor module; the measurement sensor module includes a temperature and humidity sensor, a heart rate sensor, a blood flow rate sensor and a blood oxygen sensor unit; the memory module is used to store the human body's local and environmental temperature and humidity, heart rate, blood flow rate and blood oxygen measurement data and the human body's breathing frequency and breathing depth data transmitted by the mask wearable device; the processor module reads data from the memory module and obtains blood sugar measurement results through calculation and processing;

[0010] The human body's breathing frequency and breathing depth data are obtained based on the output changes of the varistor, and are connected to the bracelet wearable device through a data transmission channel.

[0011] Furthermore, when the human body exhales, the exhaled gas pushes the conical valve plate to contact the varistor. The conical valve plate ensures that the thrust of the human body's exhalation is concentrated on the varistor, and the varistor outputs a corresponding signal through the data transmission channel. When the human body inhales, the conical valve plate does not contact the varistor. At this time, the varistor output signal should remain at around 0. By processing the varistor output signal, the human body's breathing frequency and breathing depth information can be obtained.

[0012] Furthermore, when the processor module performs calculations, it first estimates blood glucose based on the principle of metabolic heat integration, according to local and environmental temperature and humidity of the human body, blood flow rate and blood oxygen data. After obtaining the blood glucose estimation result, it corrects the blood glucose estimation result in combination with heart rate, human breathing rate and breathing depth data to obtain the final blood glucose measurement result.

[0013] The invention has the following beneficial effects:

[0014] 1. The present application provides a combined wearable non-invasive blood glucose measurement device that can be worn for a long time and perform continuous and real-time blood glucose measurement.

[0015] 2. The present application provides a combined wearable non-invasive blood glucose measurement device, which is designed with a special mask wearing device to obtain human respiratory rate and respiratory depth data, and combines the heart rate, respiratory rate and respiratory depth data to correct the blood glucose estimation data of the metabolic heat integration method, thereby realizing accurate measurement of blood glucose in non-resting state. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the structure of an implementation example of a combined wearable non-invasive blood glucose measurement of the present invention.

[0017] Figure 2 It is a structural schematic diagram of the special breathing valve of the present invention.

[0018] Figure 3 It is a flow chart of the operation processing of the processor module of the present invention.

[0019] Among them: 1-mask wearing device, 2-special breathing valve, 3-data transmission channel, 4-fixing clip, 5-bracelet wearing device, 21-mask external end cover, 22-varistor, 23-wiring hole, 24-conical valve sheet, 25-mask internal end cover. DETAILED DESCRIPTION

[0020] The technical solution of the invention is described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0021] The basic idea of ​​the present invention is to additionally introduce heart rate, respiratory rate and breathing depth data on the basis of the traditional metabolic heat integration method, evaluate the external work state of the human body based on the heart rate, respiratory rate and breathing depth, and expand the applicable state of the metabolic heat integration method from the resting state to the non-resting state, thereby realizing continuous and real-time measurement of blood sugar.

[0022] like Figure 1 As shown, a combined wearable non-invasive blood glucose measurement device described in the present invention includes a wristband wearing device 5 and a mask wearing device 1.

[0023] The mask wearing device 1 comprises a mask, a special breathing valve 2, a data transmission channel 3 and a fixing clip 4. The mask is equipped with a special breathing valve 2 and connected to a bracelet wearing device 5 through the data transmission channel 3. The fixing clip 4 is used to fix the data transmission channel 3 to prevent the data transmission channel from being pulled by human body movement.

[0024] Figure 2It is a schematic diagram of the structure of a special breathing valve. A varistor 22 is installed in the outer end cover 21 of the breathing valve, and a wiring hole 23 is opened on the side of the outer end cover 21 of the mask for arranging the data transmission channel 3. The conical valve plate 24 of the special breathing valve is a conical structure. When the human body exhales, the exhaled gas pushes the conical valve plate 24 to contact the varistor 22. The conical valve plate can ensure that the exhalation thrust of the human body is concentrated on the varistor 22, and the varistor 22 outputs the corresponding signal through the data transmission channel 3; when the human body inhales, the conical valve plate 24 does not contact the varistor 22, and the output signal of the varistor 22 should be maintained at about 0. By processing the output signal of the varistor 22, the human body's breathing frequency and breathing depth information can be obtained.

[0025] The wristband wearable device 5 is specifically composed of a measurement sensor module, a memory module and a processor module. The measurement sensor module includes a temperature and humidity sensor, a heart rate sensor, a blood flow rate sensor and a blood oxygen sensor unit; the memory module is used to store the human body's local and environmental temperature and humidity, heart rate, blood flow rate and blood oxygen measurement data and the human body's breathing frequency and breathing depth data transmitted by the mask wearable device 1; the processor module reads data from the memory module and obtains blood sugar measurement results through calculation and processing.

[0026] like Figure 3 As shown, when the processor module performs calculations, it first estimates blood glucose based on the principle of metabolic heat integration method, according to the local and environmental temperature and humidity, blood flow rate and blood oxygen data. The basis of the metabolic heat integration method is the relationship between metabolic heat, local oxygen supply and blood glucose concentration in the body's homeostasis. The heat generated by human metabolism is a function of blood glucose concentration and oxygen supply, and is positively correlated with blood glucose concentration and oxygen supply. That is, the total amount of local metabolic heat H in the human body can be expressed as blood glucose level GLU, body blood flow rate BV and blood oxygen saturation SpO 2 The functions are:

[0027] H=f(GLU,BV,SpO 2 ) (1)

[0028] Therefore, the expression for blood glucose level GLU can be obtained as:

[0029] GLU=g(H,BV,SpO 2 ) (2)

[0030] However, the total amount of local metabolic heat production H of the human body cannot be directly obtained. The traditional metabolic heat integration method assumes that the human body is in a resting state, that is, the mechanical work done by the human body is 0. At this time, the local metabolic heat production can be estimated based on the local heat dissipation of the human body, that is,

[0031] H=M=E+R+C (3)

[0032] In the formula, E is the local evaporation heat of the human body, R and C are the radiation heat exchange and convection heat exchange between the local human body and the external environment. By obtaining the local temperature and humidity of the human body and the ambient temperature and humidity, the local heat dissipation of the human body can be estimated, thereby obtaining the total metabolic heat generation H of the local human body.

[0033] However, real-time measurement of blood sugar cannot ensure that the body always remains in a resting state. It is necessary to examine the influence of body movement and external work on metabolic heat integration and make compensation accordingly. The present invention corrects the blood sugar estimation result by combining heart rate, respiratory rate and respiratory depth data to obtain the final blood sugar measurement result.

[0034] It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention, and these improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. A combined wearable non-invasive blood glucose measurement device, characterized in that: Including wristband wearing device and mask wearing device; The mask wearing device comprises a mask, a special breathing valve, a data transmission channel and a fixing clip, wherein the special breathing valve is arranged on the mask, the special breathing valve is connected to the bracelet wearing device through the data transmission channel, and the data transmission channel is fixed to the mask through the fixing clip; The special breathing valve comprises an outer end cover of the mask, a varistor, a wiring hole, a conical valve sheet, and an inner end cover of the mask; a varistor and a conical valve sheet are installed between the outer end cover of the mask and the inner end cover of the mask, the conical valve sheet is a conical structure, and a wiring hole for arranging a data transmission channel is provided on the side of the outer end cover of the mask; The wristband wearable device includes a measurement sensor module, a memory module and a processor module; the measurement sensor module includes a temperature and humidity sensor, a heart rate sensor, a blood flow rate sensor and a blood oxygen sensor unit; the memory module is used to store the human body's local and environmental temperature and humidity, heart rate, blood flow rate and blood oxygen measurement data and the human body's breathing frequency and breathing depth data transmitted by the mask wearable device; the processor module reads data from the memory module and obtains blood sugar measurement results through calculation and processing; According to the output change of the varistor, the human body's breathing frequency and breathing depth data are obtained, and connected to the bracelet wearable device through the data transmission channel; When the human body exhales, the exhaled gas pushes the conical valve plate to contact the varistor. The conical valve plate ensures that the exhalation thrust of the human body is concentrated on the varistor, and the varistor outputs the corresponding signal through the data transmission channel; when the human body inhales, the conical valve plate does not contact the varistor, and the output signal of the varistor should be kept at about 0 at this time; by processing the output signal of the varistor, the human body's breathing frequency and breathing depth information can be obtained; When the processor module performs calculations, it first estimates blood glucose based on the principle of metabolic heat integration method, according to the local and environmental temperature and humidity of the human body, blood flow rate and blood oxygen data. After obtaining the blood glucose estimation result, it corrects the blood glucose estimation result in combination with the heart rate, human breathing rate and breathing depth data to obtain the final blood glucose measurement result.

Citation Information

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