Physiological parameter acquisition equipment and physiological parameter acquisition method

Abstract

The invention relates to the technical field of medical instruments, and provides physiological parameter acquisition equipment and a physiological parameter acquisition method.The equipment comprises a host, a wrist strap, a pulse signal acquisition device, a metabolic heat detection assembly, an infrared spectrum detection device and a control device; the pulse signal acquisition device is mounted on the wrist strap and is used for acquiring a pulse signal of a to-be-tested person; the metabolic heat detection device is used for collecting metabolic data of a person to be detected, and the infrared spectrum detection device is used for collecting near-infrared diffuse reflection signals of a target part of the person to be detected; the control device is used for receiving the pulse signal, the metabolic data and the near-infrared diffuse reflection signal and generating a blood glucose concentration value according to the near-infrared diffuse reflection signal; the control device is further used for generating a visual physiological parameter acquisition result according to the pulse signal, the metabolic data and the blood glucose concentration value. The problems that a physiological parameter health monitor is single in function, invasive in blood glucose measurement and inconvenient to operate are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of medical devices, and in particular, to a physiological parameter acquisition device and a physiological parameter acquisition method. Background Art

[0002] With the continuous development of modern medical technology, physiological parameter health monitors have become an indispensable health management tool in people's daily lives. However, the physiological parameter health monitors widely used in the current market have relatively single functions. For example, a blood oxygen meter for monitoring blood oxygen concentration and blood oxygen saturation, a blood pressure meter for monitoring heart rate and blood pressure, etc., lack an integrated physiological parameter acquisition device. At the same time, when it comes to the prevention and management of chronic diseases such as diabetes, users usually need to additionally use a blood glucose meter to measure blood glucose through an invasive method of pricking the finger to draw blood, which not only increases the user's usage cost and inconvenience, but may also cause discomfort and resistance of the user due to frequent invasive operations.

[0003] In view of this, a physiological parameter acquisition device and a physiological parameter acquisition method are provided to solve the problems of single function of the physiological parameter health monitor and invasive and inconvenient blood glucose measurement existing in the prior art. Summary of the Invention

[0004] The present invention provides a physiological parameter acquisition device and a physiological parameter acquisition method to solve the problems of single function of the physiological parameter health monitor and invasive and inconvenient blood glucose measurement existing in the prior art, so as to achieve the integration of physiological parameter acquisition and avoid the inconvenience caused by invasive measurement.

[0005] The present invention provides a physiological parameter acquisition device, including:

[0006] A main body;

[0007] A wristband for sleeving on the wrist of a person to be measured;

[0008] A pulse signal acquisition device installed on the wristband to obtain the pulse signal of the person to be measured;

[0009] A metabolic heat detection component installed on the main body to collect the metabolic data of the person to be measured;

[0010] An infrared spectrum detection device installed on the main body to collect the near-infrared diffuse reflection signal of the target part of the person to be measured;

[0011] A control device, which is configured to receive the pulse signal, the metabolic data, and the near-infrared diffuse reflection signal, and generate a blood glucose concentration value based on the near-infrared diffuse reflection signal; the control device is further configured to generate a visualized physiological parameter acquisition result from the pulse signal, the metabolic data, and the blood glucose concentration value.

[0012] In some embodiments, the pulse signal acquisition device includes:

[0013] An airbag assembly, which is installed in the wristband and is in communication with the air pump;

[0014] A pulse pressure sensor, which is configured to collect the current pressure value of the airbag assembly, and the control device generates a start command or a stop command based on the relationship between the current pressure value and a pressure threshold;

[0015] An air pump, which is started in response to a start command issued by the control device or is closed in response to a stop command issued by the control device.

[0016] In some embodiments, the airbag assembly includes at least two airbags, and the airbags are stacked along the radial direction of the wristband.

[0017] In some embodiments, there are at least three groups of airbag assemblies, and the airbag assemblies are arranged along the tangential direction of the wristband.

[0018] In some embodiments, the metabolic heat detection assembly includes:

[0019] A temperature sensor, which is installed on the main body and is configured to collect the body temperature data of the person to be measured;

[0020] An infrared sensor, which is installed on the main body and is configured to collect the skin surface temperature of the person to be measured;

[0021] A humidity sensor, which is installed on the main body and is configured to collect the body surface humidity data of the person to be measured;

[0022] An optical measurement device, which is installed on the main body and is configured to collect the blood oxygen saturation of the person to be measured.

[0023] In some embodiments, the infrared spectroscopy detection device includes:

[0024] An optical path module, which includes a near-infrared light source, a photodetector, a fiber optic adapter, and a fiber optic collimator;

[0025] A regional temperature control module;

[0026] A regional pressure detection module.

[0027] The present invention also provides a method for collecting physiological parameters, the method comprising:

[0028] Collecting the pulse signal, metabolic data and near-infrared diffuse reflection signal of the subject to be measured;

[0029] Generating a blood glucose concentration value according to the near-infrared diffuse reflection signal;

[0030] Generating a visualized physiological parameter collection result from the pulse signal, the metabolic data and the blood glucose concentration value.

[0031] In some embodiments, collecting the metabolic data of the subject to be measured specifically includes:

[0032] Collecting the body temperature data, body surface humidity data, blood flow rate data and blood oxygen saturation data of the subject to be measured.

[0033] In some embodiments, after collecting the metabolic data of the subject to be measured, it further includes:

[0034] Converting the temperature, humidity, blood flow rate and blood oxygen saturation information related to metabolic heat into data, and finally reflecting the situation of blood glucose concentration.

[0035] In some embodiments, generating a blood glucose concentration value according to the near-infrared diffuse reflection signal specifically includes:

[0036] Calculating the blood glucose concentration value by analyzing the spectral contribution of glucose in the diffuse reflection light and the correlation between glucose and blood glucose.

[0037] The physiological parameter collection device provided by the present invention includes a main body, a wristband, a pulse signal collection device, a metabolic heat detection component, an infrared spectrum detection device and a control device; wherein, the wristband is used to be sleeved on the wrist of the subject to be measured, the pulse signal collection device is installed on the wristband and obtains the pulse signal of the subject to be measured; the metabolic heat detection device is installed on the main body and collects the metabolic data of the subject to be measured, the infrared spectrum detection device is installed on the main body and collects the near-infrared diffuse reflection signal of the target part of the subject to be measured; the control device is used to receive the pulse signal, the metabolic data and the near-infrared diffuse reflection signal, and generate a blood glucose concentration value according to the near-infrared diffuse reflection signal; the control device is further used to generate a visualized physiological parameter collection result from the pulse signal, the metabolic data and the blood glucose concentration value.

[0038] In this way, the physiological parameter acquisition device provided by the present invention integrates a pulse signal acquisition device, a metabolic heat detection device, and an infrared spectroscopy detection device on the wristband, thereby realizing the acquisition of pulse signals, metabolic data, and near-infrared diffuse reflection signals, and further realizing the generation of visual results of pulse, metabolic data, and blood glucose concentration values. Thus, the problems existing in the prior art that the physiological parameter health monitor has a single function, the blood glucose measurement is invasive and inconvenient to operate are solved, thereby realizing the integration of physiological parameter acquisition and avoiding the inconvenience of operation caused by invasive measurement. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0040] Figure 1 is a schematic structural diagram of a physiological parameter acquisition device provided by the present invention;

[0041] Figure 2 is Figure 1 a cross-sectional view of the cuff in the physiological parameter acquisition device shown;

[0042] Figure 3 is Figure 1 a partial enlarged view of the main unit in the physiological parameter acquisition device shown;

[0043] Figure 4 is a schematic diagram of the correspondence between the amplitude parameter and the time parameter of the pulse wave time-domain waveform;

[0044] Figure 5 is a schematic diagram of the angular characteristics of the pulse time-domain waveform;

[0045] Figure 6 is a control flowchart of the pulse signal acquisition device provided by the present invention;

[0046] Figure 7 is a schematic diagram of the blood glucose level calculation dimension provided by the present invention;

[0047] Figure 8 is a schematic structural diagram of the infrared spectroscopy detection device provided by the present invention;

[0048] Figure 9 is a flowchart of the physiological parameter acquisition method provided by the present invention.

[0049] Reference Signs:

[0050] 100 - the wrist of the subject to be measured;

[0051] 11 - Housing, 12 - Hose, 13 - Data cable, 14 - Charging port, 15 - Power button, 16 - Display screen, 17 - Air pump interface, 18 - Finger groove;

[0052] 2 - Wristband;

[0053] 21 - Airbag, 22 - Pulse pressure sensor;

[0054] 3 - Thermistor probe;

[0055] 41 - Infrared sensor, 42 - Laser diode array, 43 - Photoelectric receiver. Specific embodiments

[0056] The following further describes the embodiments of the present invention in detail in conjunction with the accompanying drawings and embodiments. The following embodiments are used to illustrate the present invention, but cannot be used to limit the scope of the present invention.

[0057] In the description of the embodiments of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "center", "longitudinal", "transverse", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the embodiments of the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation to the embodiments of the present invention. In addition, the terms "first", "second", and "third" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0058] In the description of the embodiments of the present invention, it should be noted that unless otherwise clearly specified and limited, the terms "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium. For those of ordinary skill in the art, the specific meanings of the above terms in the embodiments of the present invention can be understood according to specific situations.

[0059] In the embodiments of the present invention, unless otherwise clearly specified and limited, the first feature being "above" or "below" the second feature can be that the first and second features are in direct contact, or the first and second features are indirectly in contact through an intermediate medium. Moreover, the first feature being "above", "over", and "on" the second feature can be that the first feature is directly above or obliquely above the second feature, or simply means that the first feature has a higher horizontal height than the second feature. The first feature being "below", "beneath", and "under" the second feature can be that the first feature is directly below or obliquely below the second feature, or simply means that the first feature has a lower horizontal height than the second feature.

[0060] In the description of this specification, the descriptions referring to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the embodiments of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0061] Aiming at the problems of the existing physiological parameter health monitors with single functions, invasive blood glucose measurement and inconvenient operation, the present invention proposes a multi-functional physiological parameter acquisition device integrating non-invasive blood glucose measurement technology and flexible sensing pulse diagnosis technology. This physiological parameter acquisition device realizes non-invasive blood glucose measurement through a single device, and at the same time uses the flexible sensing pulse diagnosis technology to monitor various physiological health parameters, such as blood pressure, pulse, etc. In addition, this technology also synchronizes the monitoring data to the mobile app through a real-time feedback transmission mechanism, enabling users to grasp their own physiological health status in real time.

[0062] Combined with Figure 1 and Figure 2 According to an embodiment of the present invention, the physiological parameter acquisition device includes a main body, a wristband 2, a pulse signal acquisition device, a metabolic heat detection component, an infrared spectrum detection device, and a control device; the wristband 2 is used to be sleeved on the wrist 100 of the person to be measured, and the wristband 2 is a flexible band, for example, it can be in the form similar to the wristband 2 of a sphygmomanometer; both the main body and the wristband 2 are provided with air pump interfaces 17, and the air pump interface 17 on the main body is connected to the air pump interface 17 on the wristband 2 through a hose 12, and both the main body and the wristband 2 are provided with data line interfaces, and the data line interface on the main body is connected to the data line interface on the wristband 2 through a data line 13. The pulse signal acquisition device is installed on the wristband 2 and acquires the pulse signal of the person to be measured, and the metabolic heat detection component is installed on the main body and acquires the metabolic data of the person to be measured; the infrared spectrum detection device is installed on the main body and acquires the near-infrared diffuse reflection signal of the target part of the person to be measured. The control device is used to receive the pulse signal, the metabolic data, and the near-infrared diffuse reflection signal, and generate a blood glucose concentration value according to the near-infrared diffuse reflection signal; the control device is also used to generate a visualized physiological parameter acquisition result from the pulse signal, the metabolic data, and the blood glucose concentration value.

[0063] Among them, the main unit has a housing 11, the material of the housing 11 can be TPU material. Inside the housing 11 of the main unit, a micro air pump and an electromagnetic air release valve are provided, which can control the inflation and deflation of the airbag 21 in the pulse signal acquisition device according to the real-time data fed back by the air pressure sensor. A charging port 14, a power button 15 and a display screen 16 are also provided on the housing 11 of the main unit. The display screen 16 can adopt a color liquid crystal display (LCD), which has high resolution and wide viewing angle to ensure clear display of information at different angles, real-time monitoring and display of physiological health parameters, and provide data curve graphs or trend graphs to help users intuitively understand the change trend of physiological parameters.

[0064] Furthermore, finger grooves 18 are formed on the housing 11 of the main unit. In this embodiment, four groups of finger grooves 18 can be provided, and each sensor or the probe of the sensor (such as the infrared sensor 41, the laser diode array 42 or the photoelectric receiver 43, the probe of the temperature sensor, etc.) is arranged in the finger grooves 18.

[0065] The pulse signal acquisition device is used to acquire information such as the blood pressure and pulse of the person to be measured. In some embodiments, the pulse signal acquisition device provided by the present invention includes an airbag assembly, a pulse pressure sensor 22 and an air pump; wherein, the airbag assembly is installed in the wristband 2, and the airbag assembly is communicated with the air pump; the inflation type airbag pressing method can be used to realize the pressing control of the floating, middle and sinking pulses in traditional Chinese medicine pulse diagnosis, so as to complete the acquisition of pulse signals at the cun, guan and chi positions of the wrist. The pulse pressure sensor 22 is used to acquire the current pressure value of the airbag assembly, and the control device generates a start instruction or a stop instruction according to the relationship between the current pressure value and the pressure threshold; the pulse pressure sensor 22, as a pulse signal acquisition device, is used to detect the pressure change generated during arterial pulsation and convert it into an electrical signal. According to the signal acquisition method, the pulse sensor can be divided into piezoelectric type, piezoresistive type and photoelectric type; the piezoelectric type and piezoresistive type sensors convert the pressure process of pulse beating into signal output through micro pressure type materials (such as piezoelectric chips, Wheatstone bridges, etc.), and the photoelectric pulse sensor converts the signal by detecting the change of light transmittance of blood vessels during pulse beating; the air pump is started in response to the start instruction issued by the control device, or closed in response to the stop instruction issued by the control device; for example, a start instruction or a stop instruction of the air pump is generated in response to the operation of the user, or a corresponding instruction of the air pump can be generated according to the detected current pressure value of the airbag 21 and the relationship between the current pressure value and the pressure threshold, that is, if the current pressure value is less than the pressure threshold, a start instruction of the air pump is generated, and if the current pressure value is greater than the pressure threshold, a stop instruction of the air pump is generated.

[0066] In some embodiments, the pulse signal acquisition device is specifically a flexible pulse sensor array. That is to say, a flexible pulse pressure sensor 22 is arranged inside the annular wristband 2, which is used to detect the pulse signal under the condition of airbag 21 pressurization, and the detected signal transmitted back in real time through the above data transmission line is subjected to signal conditioning and data processing in the host. The flexible pulse pressure sensor 22 captures the pulse signal generated during the pressurization process of the airbag 21, and these signals will inevitably be mixed with noise and other interferences. In order to improve the clarity of the signal, signal conditioning is required. For example, wavelet denoising algorithm can be used to effectively remove noise and baseline drift at the same time, making the signal cleaner. The conditioned signal is converted into a digital signal by an analog-to-digital converter (ADC) for subsequent computer processing. In this embodiment, the peak point of the pulse wave at the radial artery of the wrist can be used as a reference to calculate the time interval between adjacent peak points, so as to obtain the heart rate. The heart rate data is an important basis for heart rate variability analysis. In addition, software algorithms can be used to extract the respiratory wave from the pulse wave signal and calculate the number of respiratory waves per unit time, and then obtain the respiratory rate.

[0067] Specifically, the waveform characteristics and their changes of the pulse wave are not only the basis for traditional Chinese medicine pulse discrimination, but also reflect the operation status of the human cardiovascular system, containing a large amount of physiological and pathological information. In this embodiment, multiple time-domain characteristic quantities of the pulse wave are extracted. The characteristic points of the time-domain waveform of the pulse wave are extracted by the extreme value method, and the amplitude parameters and time parameters of each point are obtained, and then the amplitude ratio and time ratio of the pulse wave are calculated. Among them, the corresponding relationship between the amplitude parameters and time parameters of the time-domain waveform of the pulse wave is as Figure 4 shown; Figure 4 In 1 , h 1 refers to the amplitude of the main wave, which is the height from the peak of the main wave to the baseline of the pulse wave diagram, mainly reflecting the ejection function of the left ventricle and the compliance of the large artery. When the left ventricular contractility is strong and the compliance of the large artery is good, h 2 is large, otherwise it is small; h 3 refers to the amplitude of the pre-diastolic wave, which is the height from the peak of the pre-diastolic wave to the baseline of the pulse wave diagram, mainly reflecting the arterial vascular elasticity and peripheral resistance state; h 3 refers to the amplitude of the dicrotic notch, which is the height from the bottom of the dicrotic notch to the baseline of the pulse wave diagram. The height of the dicrotic notch corresponds to the diastolic blood pressure, mainly related to the arterial vascular peripheral resistance and the aortic valve closing function. When the peripheral resistance increases, h 4 increases, otherwise it decreases; h 4 refers to the amplitude of the dicrotic wave, which is the height between the peak of the dicrotic wave and the baseline parallel line drawn from the bottom of the dicrotic notch. The amplitude of the dicrotic wave mainly reflects the elasticity (compliance) of the large artery and the aortic valve function. When the compliance of the large artery decreases, h 4It can be 0 or even a negative value; t 1 is the time value from the starting point of the pulse diagram to the peak point of the main wave, corresponding to the rapid ejection period of the left ventricle; t 2 is the time value from the starting point of the pulse diagram to the dicrotic notch, corresponding to the systolic period of the left ventricle; t 3 is the time value from the dicrotic notch to the end point of the pulse diagram, corresponding to the diastolic period of the left ventricle; t is the time value from the starting point to the end point of the pulse diagram, corresponding to the cardiac cycle (pulse cycle) of the left ventricle.

[0068] To better reflect the characteristics of the pulse diagram and the cardiovascular state, the relative values of each parameter are generally taken to analyze the pulse diagram. h 2 / h 1 mainly reflects the compliance of the blood vessel wall and the peripheral resistance. When the blood vessel compliance is poor and the reflection wave of the peripheral resistance returns quickly, the pre-dicrotic wave appears early, h 2 / h 1 When it increases, the angle of the pre-dicrotic wave is obtuse; h 2 / h 1 When it rises, even >1, and the pre-dicrotic wave is acute, it indicates high vascular tension and good zero-pressure compliance of the blood vessel. It can be seen in the tense pulse caused by various factors and is of great significance in the discrimination of traditional Chinese medicine pulses. h 3 / h 1 mainly reflects the level of peripheral resistance. When the peripheral blood vessels contract, the resistance increases, h 3 / h 1 rises; conversely, when the peripheral resistance decreases, h 3 / h 1 becomes smaller, which is more common in the qi deficiency and blood deficiency syndromes of traditional Chinese medicine syndrome differentiation; h 4 / h 1 mainly reflects the compliance of the aorta and the function of the aortic valve. When the arterial compliance is poor or the aortic valve is insufficiently closed, h 4 / h 1 is equal to 0 or even negative; conversely, when the aortic valve function is normal, the arterial compliance is good, and the blood volume is sufficient, h 4 / h 1 increases; t 1 / t is related to the cardiac ejection function. When the systolic function of the left ventricle decreases and the ejection rate decreases, t 1 / t prolongs; (t 2 -t 1 ) / t is related to the cardiac ejection function. When the cardiac output decreases, (t 2 -t 1 ) / t decreases; t 2 / t 3 is related to the heart rate. When the heart rate increases, t 2 / t 3 >1, which is more common in yin deficiency and internal heat in traditional Chinese medicine syndrome differentiation.

[0069] The angular features are as follows Figure 5 shown. A1, A2, A3, A4, and A5 are respectively five included angle features of the pulse wave. Among them, A1 and A2 respectively represent the rising slope and falling slope of the main wave of the pulse wave, A3 and A4 represent the rising slope and falling slope of the tidal wave, and A5 represents the rising slope of the dicrotic wave. In the time-domain analysis of the pulse wave, statistical analysis is mainly carried out on several main waveform features of coronary heart disease patients and normal people, including h 2 / h 1 、h 3 / h 1 、t 1 / T、t 2 / T、t 3 / T、A2, and A3; As shown in Table 1, through the statistical analysis of the characteristic data, the average values and standard deviations of the corresponding characteristics of coronary heart disease patients and normal people are obtained. The amplitude ratio of the tidal wave to the main wave of the pulse wave in coronary heart disease patients is significantly greater than that in normal people, indicating that the amplitudes of the main wave and tidal wave of the pulse wave in coronary heart disease patients are relatively close. At the same time, the falling slope A2 of the main wave of the pulse wave and the rising slope A3 of the tidal wave in coronary heart disease patients are both greater than the angular characteristic values of the pulse wave in normal people, reflecting that due to arteriosclerosis in coronary heart disease patients, the vascular elasticity and compliance are reduced, and when entering the stage of slow ejection, the elastic recoil ability of the dilated blood vessels is weakened.

[0070] Table 1 Comparison table of pulse parameters between coronary heart disease patients and normal people

[0071]

[0072] In a specific usage scenario, feature extraction and feature selection are first performed; according to the characteristics and physiological significance of the pulse signal, appropriate time-domain feature quantities are selected, including 7 typical features of the pulse wave, the amplitude ratio and time ratio between feature points, the pulse wave period T, and 5 angular features, and image processing or signal processing algorithms are used to automatically extract the feature values. Then, comparative analysis is carried out, which specifically includes the following steps:

[0073] Obtain normal data: Obtain the average value and standard deviation of the pulse waveform feature data of normal people from literature materials or databases;

[0074] Compare feature values: Compare the feature values of the user with the average value of the feature data of normal people and calculate the difference value; For example: Difference value = User feature value - Average value of normal people's feature value, Standardized difference value = (Difference value - Standard deviation of normal people's feature value) / (Standard deviation of normal people's feature value);

[0075] Judge abnormality: According to the magnitude and direction of the difference, judge whether there is an abnormality in the user's pulse waveform. When the difference value is greater than the normal range or the standardized difference value is greater than the threshold, it is considered that there is an abnormality.

[0076] Conduct a health status assessment based on the comparison results obtained in the previous step, specifically including:

[0077] Combined with physiological significance: Combine the waveform characteristics of the pulse diagram (such as amplitude, time parameters, etc.) to evaluate the user's health status;

[0078] Refer to other indicators: Combine the pulse wave characteristics with other physiological indicators (such as blood pressure, heart rate, blood lipids, etc.) for comprehensive evaluation.

[0079] Finally, generate a report based on the obtained health status assessment results and provide suggestions; specifically, generate a report containing information such as the user's pulse waveform characteristics, differences from normal people, and health assessment results according to the analysis results; provide corresponding health suggestions according to the assessment results, such as diet, exercise, drug treatment, etc.

[0080] In some embodiments, please continue to refer to Figure 1 and Figure 2 , the airbag assembly includes at least two airbags 21, and each of the airbags 21 is arranged in a radial stack along the wristband 2. That is to say, the airbag assembly can be arranged in an array. The arrangement of the airbag array is that two airbags 21 are sequentially arranged from the outside to the inside along the radial direction of the annular wristband 2. Two airbags 21 form an airbag assembly. It should be noted that the number of airbag assemblies being two is only a specific setting method, and it can be adjusted in actual applications to adapt to specific application scenarios. In each airbag assembly, there are multiple airbags 21 that communicate with each other. After filling with an appropriate amount of air, the pulse sensor can be closely attached to the wrist part with a stable pressure. These airbags 21 adopt a stacked layout, ensuring that the center and edge dimensions of each airbag 21 are approximately the same, so that each detection point on the pulse sensor bears uniform pressure.

[0081] Furthermore, the airbag assembly is at least three groups, and each of the airbag assemblies is arranged along the tangential direction of the wristband 2. Three above-mentioned airbag combinations are arranged along the tangential direction of the annular wristband 2, corresponding to the three key positions of the chi, guan, and cun of the patient's pulse position respectively. This airbag array, as the core means of applying pressure in pulse diagnosis technology, ensures the application of appropriate pressure during pulse diagnosis through a precise regulation mechanism. To achieve this goal, a pressure sensor is introduced to monitor the pressure changes of each airbag 21 in real time. According to the data feedback by the pressure sensor, the system can control the inflation and deflation of the airbag 21.

[0082] Such as Figure 2As shown in the figure, two airbags 21 are sequentially arranged from outside to inside along the radial direction of the annular wristband 2. Two or more airbags 21 form an airbag combination. By pressurizing the pulse pressure sensor 22 through the airbag combination, the size difference between the middle and the edge parts of the airbag 21 can be reduced, and each part of the entire array sensor can be abutted against the surface of the wrist, so that the pressure of the airbag 21 on different points of the array sensor is kept consistent. In practical applications, uniform pressurization is achieved by uniformly inflating the airbag 21, and the pressure on the array sensor is gradually increased, so as to stably collect pulse wave information. As Figure 3 shown in the figure, during the inflation and deflation process of the airbag 21, automatic control can be achieved through pressure regulation. When it is detected by the pressure sensor that the pressure of the airbag 21 is lower than the lowest threshold value, the air pump is turned on, and the airbag 21 is inflated through the air pump. During the inflation process of the airbag 21, the pressure of the airbag 21 is monitored in real time until the pressure of the airbag 21 reaches the preset value, and then the air pump is controlled to stop working; after the measurement is completed, the electromagnetic air release valve is started to realize the deflation of the airbag 21.

[0083] In some embodiments, as Figure 3 shown, the metabolic heat detection component includes:

[0084] a temperature sensor, which is a thermistor arranged in the main body. The thermistor detection head 3 is arranged inside the finger groove and is used to collect the body temperature data of the person to be measured;

[0085] an infrared sensor, which is installed in the finger groove and is used to collect the skin surface temperature of the person to be measured;

[0086] a humidity sensor, which is installed in the humidity measurement cavity opened on the main body and is used to collect the body surface humidity data of the person to be measured;

[0087] an optical measurement device, which includes a laser diode array and a photoelectric receiver installed in the finger groove and is used to collect the blood oxygen saturation of the person to be measured.

[0088] Theoretically speaking, the maintenance of homeostasis depends on the physiological rhythm, which is determined by the interaction among the heat generated by metabolism, the local oxygen supply, and the blood glucose concentration. In the human body, glucose and oxygen in the blood are transported to all cells of the body through the blood circulation system; in these cells, glucose is oxidized and finally converted into water, carbon dioxide, and energy, and this energy is released into the surrounding environment through convection, radiation, evaporation, etc. The heat generated by human metabolism is proportional to the blood glucose concentration and the oxygen supply, and can be regarded as a function of these two factors. In order to monitor this process, the metabolic heat detection module uses a temperature sensor, an infrared sensor, a humidity sensor, and an optical measurement device to convert the temperature, humidity, blood flow rate, and blood oxygen saturation information related to metabolic heat into data, and finally reflects the situation of the blood glucose concentration.

[0089] As Figure 7 shown, theoretically, the temperature sensor is used to collect the skin surface temperature and environmental temperature of the person to be measured, and the radiative heat dissipation level and convective heat dissipation level can be obtained based on the skin surface temperature and environmental temperature; the humidity sensor is used to collect the humidity near the skin and environmental humidity of the person to be measured, and the evaporative heat dissipation level can be obtained based on the humidity near the skin and environmental humidity; the blood flow rate is obtained based on the skin surface temperature, the temperature of the proximal end of the metal rod near the skin, and the temperature of the distal end of the metal rod far from the skin; the optical measurement device can obtain the blood oxygen saturation; the blood glucose level can be obtained based on the radiative heat dissipation level, convective heat dissipation level, evaporative heat dissipation level, blood flow rate, and blood oxygen saturation.

[0090] The physiological rhythm of homeostasis depends on the relationship among metabolic heat, local oxygen supply, and blood glucose concentration. Glucose and oxygen in the blood are supplied to all body cells through the blood circulation system. Glucose is ultimately oxidized into water, carbon dioxide, and energy, and the energy is dissipated into the surrounding environment in the forms of convection, radiation, evaporation, etc. 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.

[0091] The principle and algorithm for calculating the blood glucose level based on the radiative heat dissipation level, convective heat dissipation level, evaporative heat dissipation level, blood flow rate, and blood oxygen saturation are as follows:

[0092] According to the theory of metabolic heat integration method, the blood glucose concentration can be estimated by the heat generated by metabolism, blood flow rate, and blood oxygen saturation. Within the normal physiological range, their relationship can be expressed as a linear relationship, that is:

[0093] G = a 0 + a 1 × H + a 2 × BF + a 3 × O

[0094] where G is the blood glucose concentration, H is the heat generated by metabolism, BF is the blood flow rate, and O is the blood oxygen saturation.

[0095] Since the heat generated by metabolism is estimated by radiative, convective, and evaporative heat dissipation and can be divided into three terms, the formula is transformed into:

[0096] G = a 0 + a 1 × R + a 2 × C + a 3 × E + a 4 × BF + a 5 × O

[0097] where R is the radiative heat dissipation, C is the convective heat transfer, and E is the evaporative heat dissipation.

[0098] According to the data collected by the sensors, the radiative heat dissipation parameter, convective heat dissipation parameter, evaporative heat dissipation parameter, blood flow rate parameter, and blood oxygen saturation parameter are calculated respectively. After normalizing these parameters, partial least squares regression analysis is used to determine the coefficient a in the formula. i During measurement, after normalizing the collected raw data, partial least squares discriminant analysis can be used to estimate the actual blood glucose concentration.

[0099] Obtaining the heat generated by human metabolism includes:

[0100] 1. Heat generated by radiation:

[0101] Measure the skin surface temperature using an infrared sensor and combine it with measuring the ambient temperature using a thermistor. According to the Slefan-Boltzmann law, the heat of radiative exchange can be obtained:

[0102] R = δ·S(T s -T E )

[0103] where R is the radiative heat dissipation, δ is the radiation coefficient, S is the radiation area, T s is the absolute body surface temperature, and T E is the absolute ambient temperature.

[0104] 2. Heat generated by convection:

[0105] Under certain conditions, convective heat dissipation is also related to the skin surface temperature and the ambient temperature. Using Newton's heat transfer formula, convective heat transfer can be expressed as:

[0106] C = h t (t u -t f )

[0107] where C is the convective heat transfer; h t is the convective heat transfer coefficient; t u is the body surface temperature; t f is the ambient temperature.

[0108] 3. Heat generated by evaporation:

[0109] Use a humidity sensor to measure the relative humidity RHskin near the skin surface and the relative humidity RHenv of the environment respectively;

[0110] According to the Tetens formula, the saturated water vapor pressure P sat (T) at the corresponding temperature is obtained:

[0111]

[0112] Calculate the water vapor partial pressure P near the skin surface and the water vapor partial pressure P of the environment respectively according to the partial pressure formula skin and the water vapor partial pressure P of the environment env ;

[0113] Calculate the evaporation rate through the following formula

[0114]

[0115] where A is the skin surface area, h D is the water vapor diffusion coefficient (related to wind speed, air density, etc., L v is the latent heat of vaporization of water (J / kg), about 2260 J / g or 2.26 MJ / kg).

[0116] Use the following formula to calculate the heat of evaporation:

[0117]

[0118] When obtaining the blood flow velocity, since the heat transfer rate on the body surface depends not only on the body surface temperature and the temperature of the metal rod, but also is closely related to the blood flow in the capillaries. The faster the blood flow velocity, the faster the heat on the body surface is carried away, thus affecting the temperature change of the metal rod. Usually, the blood flow velocity can be estimated by measuring the temperature changes T1 and T2 at both ends of the metal rod

[0119] Measure the temperature T1 at the end of the metal rod close to the body surface and the temperature T2 at the end far from the body surface with a thermistor, and at the same time measure the body surface temperature Tbody and the metal rod surface temperature Tlead (the units of the above four parameters are degrees Celsius or K); the heat transfer rate has the following formula:

[0120] Q = h·A·(γ body -γ lead )

[0121] Q: The heat transfer rate between the body surface and the heat conductor (unit: J / s)

[0122] h: Heat transfer coefficient, the heat transfer ability between the body surface and the heat conductor (unit: W / m 2 ·K)

[0123] A: The contact area between the heat conductor and the body surface (unit: m 2 )

[0124] T body : Body surface temperature (unit: °C or K)

[0125] T lead : Heat conductor surface temperature (unit: °C or K)

[0126]

[0127] T 1 : The temperature at the end of the heat conductor close to the body surface (unit: °C or K)

[0128] T 2 : The temperature at the end of the heat conductor far from the body surface (unit: °C or K)

[0129] L: The length of the heat conductor (unit: m)

[0130] By combining the above two formulas, an empirical formula for blood flow rate can be obtained:

[0131]

[0132] Through experiments, combined with the empirical coefficient C obtained by calibration, Q and V b can be correlated to obtain the relationship between the heat transfer rate and the blood flow rate.

[0133] When obtaining blood oxygen saturation, theoretically, the blood oxygen saturation (SpO 2 ) is the ratio of oxyhemoglobin (HbO 2 ) to total hemoglobin in the blood, and its optical measurement device is realized by the principle of a pulse oximeter. The measurement formula is as follows:

[0134] SpO 2 = 110 - 25×R

[0135] where R = A 660 / A 880 , A 660 and A 880 respectively represent the absorbances under red light and near-infrared light.

[0136] The required measurement components are

[0137] Light sources: Red light LED and near-infrared light LED emit light of different wavelengths (usually 660 nm and 880 nm);

[0138] Used to receive the transmitted light intensity after passing through the tissue, usually placed on the other side opposite to the light source;

[0139] Calculate the absorbances at two wavelengths, and then calculate the blood oxygen saturation.

[0140] In some embodiments, the infrared spectrum detection device includes:

[0141] An optical path module, which includes a near-infrared light source, a photodetector, an optical fiber adapter, and an optical fiber collimator;

[0142] A regional temperature control module;

[0143] Regional pressure detection module.

[0144] As Figure 8 shown, the infrared spectroscopy detection module internally includes an optical path module, a regional temperature control module, and a regional pressure detection module. The optical path module includes a near-infrared light source, a photodetector, an optical fiber adapter, and an optical fiber collimator. When the temperature and pressure are adjusted appropriately, for example, the temperature change is basically stabilized within the range of 36.5 ± 0.5 °C, and the optimal pressure is 20 N / cm 2 , the detection starts. At this time, the built-in near-infrared light source is lit, and the photoelectric sensor receives the near-infrared diffuse reflection signal passing through the human fingertip. The change in blood glucose concentration can be manifested as the change in glucose concentration in the dermis layer, and there are almost no water-soluble living components such as glucose in the subcutaneous tissue layer. The diffuse reflection spectral information received by the photodetector consists of a variable signal caused by the change in component concentration in the finger tissue and an invariant signal of the inherent absorption of the tissue. By analyzing the spectral contribution of glucose in the diffuse reflection light and combining the known correlation between glucose and blood glucose, the blood glucose concentration value is calculated.

[0145] In addition to the above physiological parameter acquisition device, the present invention also provides a physiological parameter acquisition method based on this device. As Figure 9 shown, the method includes the following steps:

[0146] S610: Collect the pulse signal, metabolic data, and near-infrared diffuse reflection signal of the person to be measured; among them, collecting the metabolic data of the person to be measured specifically includes collecting the body temperature data, body surface humidity data, blood flow rate data, and blood oxygen saturation data of the person to be measured.

[0147] S620: Generate a blood glucose concentration value according to the near-infrared diffuse reflection signal;

[0148] S630: Generate a visual physiological parameter acquisition result from the pulse signal, the metabolic data, and the blood glucose concentration value.

[0149] In some embodiments, after collecting the metabolic data of the person to be measured, it further includes:

[0150] Convert the temperature, humidity, blood flow rate, and blood oxygen saturation information related to metabolic heat into data, and finally reflect the situation of blood glucose concentration.

[0151] In some embodiments, generating a blood glucose concentration value according to the near-infrared diffuse reflection signal specifically includes:

[0152] By analyzing the spectral contribution of glucose in the diffuse reflection light and combining the known correlation between glucose and blood glucose, calculate the blood glucose concentration value.

[0153] In the above specific embodiments, the physiological parameter acquisition device provided by the present invention includes a main body, a wristband 2, a pulse signal acquisition device, a metabolic heat detection component, an infrared spectroscopy detection device, and a control device; wherein, the wristband 2 is used to be sleeved on the wrist 100 of the person to be measured, the pulse signal acquisition device is installed on the wristband 2 and acquires the pulse signal of the person to be measured; the metabolic heat detection device is installed on the main body and acquires the metabolic data of the person to be measured, the infrared spectroscopy detection device is installed on the main body and acquires the near-infrared diffuse reflection signal of the target part of the person to be measured; the control device is used to receive the pulse signal, the metabolic data, and the near-infrared diffuse reflection signal, and generate a blood glucose concentration value according to the near-infrared diffuse reflection signal; the control device is further used to generate a visual physiological parameter acquisition result from the pulse signal, the metabolic data, and the blood glucose concentration value.

[0154] In this way, the physiological parameter acquisition device provided by the present invention integrates a pulse signal acquisition device, a metabolic heat detection device, and an infrared spectroscopy detection device on the wristband 2, thereby realizing the acquisition of pulse signals, metabolic data, and near-infrared diffuse reflection signals, and further realizing the generation of visual results of pulse, metabolic data, and blood glucose concentration values. Thus, it solves the problems of single function of physiological parameter health monitors and invasive and inconvenient blood glucose measurement in the prior art, thereby realizing the integration of physiological parameter acquisition and avoiding the inconvenience caused by invasive measurement.

[0155] Furthermore, this multi-parameter health detector brings a brand-new health monitoring experience to users by applying compound high-precision infrared sensors and metabolic heat integration technology, and combining traditional Chinese medicine pulse diagnosis methods with Western medicine non-invasive technologies. The beneficial effects demonstrated by this product are remarkable, mainly reflected in the following aspects:

[0156] First of all, by adopting compound high-precision infrared sensors and metabolic heat integration technology, this product can measure and display multiple key physiological parameters such as blood glucose, blood oxygen, and peripheral pulse in real time and accurately. This comprehensive monitoring ability enables users to comprehensively understand their own health status, providing strong support for disease prevention, detection, and management.

[0157] Secondly, this product combines traditional Chinese medicine pulse diagnosis methods with Western medicine non-invasive technologies to achieve painless and convenient health monitoring. Compared with the traditional method of pricking the finger to draw blood for blood glucose measurement, the non-invasive technology adopted by this product greatly reduces the pain and discomfort of users and improves the comfort and acceptance of measurement. At the same time, the traditional Chinese medicine pulse diagnosis method is equipped with an automatic pressurizing airbag 21, making the monitoring results more comprehensive and accurate, and providing more reliable health data for users.

[0158] In addition, this product also has a real-time feedback transmission mechanism, which can synchronize the monitoring data to the mobile app side to achieve real-time monitoring of the physiological health status. Users can view their health data on the mobile phone at any time and place, promptly discover abnormal situations, and take corresponding measures for intervention and management. This convenience not only improves users' health awareness but also provides a more efficient and convenient means for disease prevention and management.

[0159] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments or equivalently replace some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A physiological parameter acquisition device, characterized in that: include: Host; A wristband (2), the wristband (2) being used to be worn on the wrist (100) of a person to be tested; A pulse signal acquisition device, which is installed on the wristband (2) and acquires the pulse signal of the person to be measured; A metabolic heat detection component, wherein the metabolic heat detection device is installed on the host and collects metabolic data of the subject; An infrared spectrum detection device, which is installed on the host and collects near-infrared diffuse reflection signals of a target part of the subject to be tested; A control device, wherein the control device is used to receive the pulse signal, the metabolic data and the near-infrared diffuse reflection signal, and generate a blood glucose concentration value according to the near-infrared diffuse reflection signal; the control device is also used to generate a visualized physiological parameter collection result from the pulse signal, the metabolic data and the blood glucose concentration value.

2. The physiological parameter acquisition device according to claim 1, characterized in that: The pulse signal acquisition device comprises: An airbag assembly, the airbag assembly being installed in the wristband (2) and being connected to the air pump; A pulse pressure sensor (22), the pulse pressure sensor (22) is used to collect the current pressure value of the airbag assembly, and the control device generates a start instruction or a stop instruction according to the relationship between the current pressure value and the pressure threshold; An air pump is started in response to a start command issued by the control device, or is shut down in response to a stop command issued by the control device.

3. The physiological parameter acquisition device according to claim 2, characterized in that: The airbag assembly comprises at least two airbags (21), and each of the airbags (21) is arranged in a stacked manner along the radial direction of the wristband (2).

4. The physiological parameter acquisition device according to claim 2, characterized in that: The airbag components are in at least three groups, and each of the airbag components is arranged along the tangential direction of the wristband (2).

5. The physiological parameter acquisition device according to claim 1, characterized in that: The metabolic heat detection component comprises: A temperature sensor, which is installed on the host and is used to collect body temperature data of a person to be measured; An infrared sensor, which is installed on the host and is used to collect the skin surface temperature of the person to be tested; A humidity sensor, which is installed on the host and is used to collect body surface humidity data of the subject to be tested; An optical measuring device is installed on the host and is used to collect the blood oxygen saturation of the subject to be measured.

6. The physiological parameter acquisition device according to claim 1, characterized in that: The infrared spectrum detection device comprises: An optical path module, wherein the optical path module comprises a near-infrared light source, a photodetector, an optical fiber adapter and an optical fiber collimator; Zone temperature control module; Area pressure detection module.

7. A physiological parameter collection method, characterized in that: The method comprises: Collect the pulse signal, metabolic data and near-infrared diffuse reflectance signal of the subject; generating a blood glucose concentration value according to the near-infrared diffuse reflection signal; The pulse signal, the metabolic data and the blood glucose concentration value are used to generate a visualized physiological parameter acquisition result.

8. The physiological parameter collection method according to claim 7, characterized in that: Collect metabolic data of the subject, including: Collect the subject's body temperature data, body surface humidity data, blood flow rate data and blood oxygen saturation data.

9. The physiological parameter collection method according to claim 8, characterized in that: Collect the metabolic data of the subjects, and then include: The temperature, humidity, blood flow rate and blood oxygen saturation information related to metabolic heat are converted into data, and ultimately reflect the blood glucose concentration.

10. The physiological parameter collection method according to claim 7, characterized in that: Generating a blood glucose concentration value according to the near-infrared diffuse reflection signal specifically includes: The blood glucose concentration value is calculated by analyzing the spectral contribution of glucose in the diffuse reflected light and the correlation between glucose and blood glucose.

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