Wearable device and method for monitoring abnormal connective tissue surface metabolism

Abstract

The present invention discloses a wearable device and method for monitoring abnormal metabolism of connective tissue surface. A semi-circular electrode array is attached to a suitable position of human skin to obtain the potential signal on the skin surface and extract the characteristics of the frequency band where the connective tissue potential is located, collect data on human connective tissue metabolism in real time, and finally display the location of metabolic abnormalities in real time based on the signal characteristics of the data. The present invention has a simple structure and convenient measurement. It can measure the changes in connective tissue potential to monitor body surface metabolism, can collect data in real time and display images, has a compact structure, a small system, and is easy to wear.

Description

Technical Field

[0001] The present invention relates to a wearable monitoring device and method in the field of chronic disease monitoring in health management, and in particular to a wearable device for monitoring abnormal metabolism of connective tissue surface and a method for characterizing metabolic characteristics. Background Art

[0002] Chronic mental illness can cause changes in the physiological state of the human body. According to literature reports, these changes in physiological state occur in connective tissue. The corresponding acute and chronic inflammation are significantly related to emotions, especially in the case of repeated inflammation. However, the reversibility of connective tissue damage is limited. If inflammation occurs repeatedly, the reversible damage to the connective tissue will gradually develop into an irreversible chronic disease. Therefore, long-term connective tissue damage caused by mental illness will form chronic diseases. The health of the connective tissue determines the health of the human body.

[0003] Connective tissue is spread all over the human body and is a complex network system. Changes in connective tissue potential reflect changes in human metabolism and oxidative stress levels. Specific chronic diseases have specific connective tissue potential change characteristics. At present, the acquisition of connective tissue potential signals is basically single-point acquisition, and without array acquisition equipment, it is difficult to detect changes in the same connective tissue potential at different locations. Converting the change characteristics of connective tissue into real-time image display can intuitively find problems with body surface metabolism. The flexible substrate allows the electrode array to better adhere to the skin surface. Summary of the invention

[0004] In order to detect the abnormal metabolism of the connective tissue surface of the human body in real time and collect monitoring data, the electrode array involved in the present invention is attached to the appropriate position of the human skin, and the metabolic characteristics of the connective tissue are obtained by obtaining the potential information on the skin surface, and can be displayed in real time. The present invention has a compact structure, a small system, and is easy to wear.

[0005] In order to achieve the above object, the technical solution adopted by the present invention is:

[0006] 1. A wearable device for monitoring abnormal metabolism of connective tissue surface:

[0007] It includes a host, connecting wires and array electrodes; the array electrodes are electrically connected to the host via the connecting wires, and the array electrodes are attached to the body surface to be monitored. The array electrodes are mainly composed of a plurality of dual-electrode structural units arranged in an array.

[0008] The dual-electrode structural unit is mainly composed of two semi-annular electrodes arranged opposite to each other at intervals, and the two semi-annular electrodes are a reference electrode and a measuring electrode respectively.

[0009] The reference electrodes of different dual-electrode structural units are connected together in series or independently.

[0010] The reference electrodes of different dual-electrode structural units can be the reference electrodes in any dual-electrode structural unit used independently without being connected in series with other reference electrodes, or the necessary reference electrodes in the dual-electrode structural units can be connected in series and shared.

[0011] The host part includes a passive low-pass filter module, a differential amplifier module, an analog-to-digital conversion module, a microcontroller module and a wireless module; each dual-electrode structural unit of the array electrode is connected to the passive low-pass filter module, the passive low-pass filter module is connected to the microcontroller module via the differential amplifier module and the analog-to-digital conversion module, and the microcontroller module is connected to the Internet via the wireless module.

[0012] The passive low-pass filter module of the host part includes an array RC filter circuit whose number is twice the number of dual-electrode structural units in the array electrode. The input of the RC filter circuit is connected to the dual-electrode structural units in the array electrode, and the output of the RC filter circuit is connected to the input end of the differential amplifier module.

[0013] It also includes an image display module, which is connected to the microcontroller module and receives signals sent from the microcontroller module for display. The image display module displays multiple image display color blocks in the same arrangement as the array arrangement of each dual-electrode structure unit. The displayed image display color blocks correspond one-to-one to the dual-electrode structure units in the array electrode.

[0014] 2. A method for monitoring abnormal metabolism of connective tissue surface:

[0015] The potential signal between the two electrodes of each dual-electrode structural unit of the array electrode is collected and sent to the microcontroller module. The microcontroller module controls the collection of the potential signal of each dual-electrode structural unit within a period of time as a surface bioelectric signal, and then processes and analyzes the surface bioelectric signal of each dual-electrode structural unit to identify and display the abnormal location of connective tissue surface metabolism.

[0016] The convolution function is used to perform cross-correlation calculation on the surface bioelectric signal of each two-electrode structure unit and the surface bioelectric signal of another two-electrode structure unit to obtain the absolute time delay, and then the average value of all absolute time delays of the current two-electrode structure unit is calculated as the average time delay value, and then the average value of the time delay value of all two-electrode structure units is calculated and the time offset is added to obtain the time threshold, and the average time delay value of each two-electrode structure unit is compared with the time threshold:

[0017] If the average value of the time delay is greater than the time threshold, the dual-electrode structural unit corresponding to the average value of the time delay is a metabolic abnormality site on the surface of the connective tissue;

[0018] If the average value of the time delay is not greater than the time threshold, the dual-electrode structural unit corresponding to the average value of the time delay is not a metabolic abnormality site on the surface of the connective tissue.

[0019] In the microcontroller module, the wavelet power of the surface bioelectric signal of each dual-electrode structural unit in a specific frequency band is calculated, the activity information of the connective tissue surface metabolism of each dual-electrode structural unit is obtained, and a display control signal is generated accordingly and sent to the image display module to display each image display color block.

[0020] In the microcontroller module, the wavelet power of the surface bioelectric signal of each dual-electrode structure unit in the frequency range of 0.05-0.25Hz is calculated, and then the wavelet energy is obtained according to the wavelet power. The wavelet energy is normalized and converted into color block brightness, and then the image display color block corresponding to the dual-electrode structure unit is controlled to display.

[0021] The present invention uses a semi-circular electrode array attached to the appropriate position of the human skin to obtain the potential signal on the skin surface and extract the characteristics of the frequency band of the connective tissue potential, collect data on the metabolism of the human connective tissue in real time, and finally display the location of the metabolic abnormality in real-time images based on the signal characteristics of the data.

[0022] The beneficial effects of the present invention are as follows:

[0023] The invention has a simple structure and is convenient for measurement, can measure the change of connective tissue potential to monitor body surface metabolism, and can collect data in real time and display them in images.

[0024] The present invention acquires disease characteristics related to the skin surface location and reflecting the metabolic state of connective tissue by array-type data collection, and these data characteristics can be used to diagnose chronic mental illness and connective tissue damage. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 is a schematic diagram of the dual-electrode structure and array;

[0026] Figure 2 It is a schematic diagram showing the use of the equipment;

[0027] Figure 3 This is a schematic diagram of the framework of the host part.

[0028] Figure 4 is a schematic diagram of embodiment 1;

[0029] Figure 5 It is a schematic diagram of the second embodiment.

[0030] In the figure: a host 1, connecting wires 2, and array electrodes 3. DETAILED DESCRIPTION

[0031] The present invention is further described below in conjunction with the accompanying drawings and embodiments.

[0032] like Figure 2 As shown, the device includes a host 1, a connecting wire 2 and an array electrode 3; the array electrode 3 is electrically connected to the host 1 via the connecting wire 2, and the array electrode 3 is attached to the body surface to be monitored. The array electrode 3 is mainly composed of a plurality of double-electrode structural unit arrays arranged on the surface. The device uses the array electrode to collect body surface bioelectric signals.

[0033] In a specific implementation, the arrangement position of the array electrodes is to extend from corner point A of the body surface area to be monitored to corner point B, and the starting position electrode No. 0, ie, the xy coordinate, is used to mark the body surface position information.

[0034] like Figure 1 As shown, the dual-electrode structural unit is mainly composed of two semi-circular electrodes arranged opposite to each other without contact, and the two semi-circular electrodes are respectively a reference electrode (digital serial number -) and a measuring electrode (digital serial number +). The array electrode adopts a semi-circular electrode structure and is used for the protection and monitoring of the human body's metabolic state.

[0035] The two electrodes in a dual-electrode structural unit must be a reference electrode and a measuring electrode, but the positional relationship is not restricted, and the functions can be adjusted and interchanged by the analog-to-digital conversion module controlled by the microcontroller module, but there is no functional limitation.

[0036] The reference electrodes of different dual-electrode structural units can use only the reference electrodes in any dual-electrode structural unit. The analog-to-digital conversion module is controlled by the microcontroller module to adjust the selection.

[0037] The distance between adjacent double-electrode structural units is not less than 0.8 cm.

[0038] The electrode material in the dual-electrode structural unit is used but not limited to silver / silver chloride material. According to the conductive properties of the electrode material, it can be used with a conductive gel, and the resistance of the conductive gel is less than 0.1MΩ / cm.

[0039] A superoxide radical detection reagent is disposed on the electrode surface in the double-electrode structural unit, and the electrical results are collected and detected by the electrode.

[0040] like Figure 3As shown, the host part includes a passive low-pass filter module, a differential amplifier module, an analog-to-digital conversion module, a microcontroller module and a wireless module; each dual-electrode structural unit of the array electrode 3 is connected to the passive low-pass filter module, and the passive low-pass filter module is connected to the microcontroller module after the differential amplifier module and the analog-to-digital conversion module in turn, and the microcontroller module is connected to the Internet wirelessly through the wireless module. The analog-to-digital conversion module uses a multi-channel analog-to-digital conversion module, and the multi-channel input is respectively connected to the measuring electrode and the reference electrode in each dual-electrode structural unit. The analog-to-digital conversion module communicates with the microcontroller module through the SPI protocol.

[0041] It also includes a power supply module, which is electrically connected to the differential amplifier module, the analog-to-digital conversion module, and the microcontroller module respectively.

[0042] The passive low-pass filter module of the host part includes an array RC filter circuit whose number is twice the number of the dual-electrode structural units in the array electrode 3. The input of the RC filter circuit is connected to the dual-electrode structural units in the array electrode 3, and the output of the RC filter circuit is connected to the input end of the differential amplifier module.

[0043] In a specific implementation, the passive low-pass filter module is provided with different channels, and one channel corresponds to collecting the potential signal between two electrodes of a dual-electrode structural unit.

[0044] The differential amplification function can be realized through the positive and negative inputs of the analog-to-digital conversion module and the internal programmable operational amplifier. The analog-to-digital conversion module polls the potential data of each pair of channels after AD conversion. The microcontroller module communicates with the analog-to-digital conversion module through the SPI or IIC serial port protocol and obtains the array potential data after analog-to-digital conversion. The microcontroller module packages the data of each sampling cycle, adds a time tag, and then uploads it to the mobile phone Bluetooth or cloud server through the wireless module.

[0045] The specific implementation also includes an image display module, which is connected to the microcontroller module and receives the dual-electrode structure unit array signal sent from the microcontroller module for display. The image display module presents and displays multiple image display color blocks in the same arrangement as the arrangement of each dual-electrode structure unit array, and the displayed image display color blocks correspond one-to-one to the dual-electrode structure units in the array electrode.

[0046] The color and brightness of the color blocks displayed in the image are related to the synchronization of the connective tissue potential at the corresponding position on the skin surface and the signal power.

[0047] In a specific implementation, the host part of the wearable device can be fixed on the arm, waist, leg or any position that can play a fixing role by a strap for measurement, and the flexible semi-ring is attached to the position where the connective tissue potential is to be measured.

[0048] The abnormal monitoring process using the device of the present invention is specifically as follows:

[0049] The potential signal between the two electrodes of each dual-electrode structural unit of the array electrode 3 is collected by the passive low-pass filter module, the differential amplifier module, and the analog-to-digital conversion module and then sent to the microcontroller module. The microcontroller module controls the collection of the potential signal of each dual-electrode structural unit within a period of time as a surface bioelectric signal. The device uses array electrodes to collect surface bioelectric signals, and then processes and analyzes the surface bioelectric signals of each dual-electrode structural unit to identify and display the abnormal location of connective tissue surface metabolism.

[0050] This frame of body surface bioelectric signal data is added to the local data file and uploaded via WiFi or Bluetooth.

[0051] The convolution function is used to perform cross-correlation calculation on the surface bioelectric signal of each two-electrode structure unit and the surface bioelectric signal of another two-electrode structure unit to obtain the absolute time delay, and then the average value of all absolute time delays of the current two-electrode structure unit is calculated as the average time delay value, and then the average value of the time delay value of all two-electrode structure units is calculated and the time offset is added to obtain the time threshold, and the average time delay value of each two-electrode structure unit is compared with the time threshold:

[0052] If the average value of the time delay is greater than the time threshold, the dual-electrode structural unit corresponding to the average value of the time delay is a metabolic abnormality site on the surface of the connective tissue;

[0053] If the average value of the time delay is not greater than the time threshold, the dual-electrode structural unit corresponding to the average value of the time delay is not a metabolic abnormality site on the surface of the connective tissue.

[0054] In this way, through the convolution of the potential signals between the dual-electrode structural units, the surface bioelectric signals of each dual-electrode structural unit are identified as synchronous and asynchronous types according to the change in the amount of the signal. The positions corresponding to the asynchronous dual-electrode structural units are identified as abnormal connective tissue surface metabolism.

[0055] The method combined with the device can find the location of the abnormal metabolic area of ​​the connective tissue surface that is not synchronized, and circle the image display color block corresponding to the abnormal metabolic area of ​​the connective tissue surface. Figure 2 As shown, the circled blocks indicate the locations and areas of abnormal connective tissue metabolism.

[0056] In the microcontroller module, the wavelet power of the surface bioelectric signals of each dual-electrode structural unit in a specific frequency band is calculated based on the surface bioelectric signals, the activity information of the connective tissue surface metabolism of each dual-electrode structural unit is obtained, and a display control signal is generated accordingly and sent to the image display module to display each image display color block.

[0057] In the microcontroller module, the wavelet power of the surface bioelectric signal of each dual-electrode structure unit in the frequency band of 0.05-0.25Hz is calculated, and then the wavelet energy is obtained according to the wavelet power. After normalization, the wavelet energy is converted into color block brightness, and then the image display color block corresponding to the dual-electrode structure unit is controlled to display.

[0058] Thus, the wavelet power of the connective tissue potential signal is calculated, and the power value is displayed by the color block brightness. In the present invention, the brightness of the color block is positively correlated with the activity of connective tissue metabolism. By observing and comparing the color block brightness of each image display color block, the location of the abnormality of connective tissue surface metabolism can also be determined.

[0059] Embodiment 1

[0060] The electrode array starts at the wrist and goes around the arm. Figure 4 As shown, the zero-unit electrode is attached to the inner side of the wrist to calibrate the image coordinates. The unit electrode in the electrode array consists of two parts: the reference electrode and the measuring electrode. The spacing between adjacent unit electrodes is not less than 0.8 cm.

[0061] Embodiment 2

[0062] The electrode array is attached to the surface of the abdomen, such as Figure 5 As shown, the unit electrode No. 0 is attached to the upper left corner to calibrate the image coordinates.

[0063] The unit electrode in the electrode array consists of two parts: a reference electrode and a measuring electrode, and the spacing between adjacent unit electrodes is not less than 0.8 cm.

Claims

1. A method for monitoring abnormal metabolism of connective tissue surface, characterized in that: The method is implemented by using a wearable device for monitoring abnormal metabolism of connective tissue surface, the wearable device comprising a host (1), a connecting wire (2) and an array electrode (3); the array electrode (3) is electrically connected to the host (1) via the connecting wire (2), the array electrode (3) is attached to the body surface to be monitored, and the array electrode (3) is composed of a plurality of double-electrode structural units arranged in an array; The dual-electrode structural unit is composed of two semi-circular electrodes arranged opposite to each other at intervals, and the two semi-circular electrodes are a reference electrode and a measuring electrode respectively; The reference electrodes of different dual-electrode structural units are connected together in series or independently; The host comprises a passive low-pass filter module, a differential amplifier module, an analog-to-digital conversion module, a microcontroller module and a wireless module; each double-electrode structural unit of the array electrode (3) is connected to the passive low-pass filter module, the passive low-pass filter module is connected to the microcontroller module via the differential amplifier module and the analog-to-digital conversion module, and the microcontroller module is connected to the Internet via the wireless module; The passive low-pass filter module of the host comprises an array RC filter circuit whose number is twice the number of the dual-electrode structural units in the array electrode (3); the input of the RC filter circuit is connected to the dual-electrode structural units in the array electrode (3); and the output of the RC filter circuit is connected to the input end of the differential amplifier module; It also includes an image display module, which is connected to the microcontroller module and receives signals sent from the microcontroller module for display. The image display module displays a plurality of image display color blocks in the same arrangement as the array arrangement of each dual-electrode structure unit, and the displayed image display color blocks correspond one to one to the dual-electrode structure units in the array electrode; The abnormality monitoring method comprises: The electric potential signal between the two electrodes of each dual-electrode structural unit of the array electrode (3) is collected and sent to the microcontroller module, which controls the collection of the electric potential signal of each dual-electrode structural unit within a period of time as a body surface bioelectric signal, and then processes and analyzes the body surface bioelectric signal of each dual-electrode structural unit to identify and display the abnormal location of connective tissue surface metabolism.

2. A method for monitoring abnormal connective tissue surface metabolism according to claim 1, characterized in that: The convolution function is used to perform cross-correlation calculation on the surface bioelectric signal of each dual-electrode structure unit and the surface bioelectric signal of another dual-electrode structure unit to obtain the absolute time delay, and then the average value of all absolute time delays of the current dual-electrode structure unit is calculated as the average time delay value, and then the average value of the time delay value of all dual-electrode structure units is calculated and the time offset is added to obtain the time threshold, and the average time delay value of each dual-electrode structure unit is compared with the time threshold: If the average value of the time delay is greater than the time threshold, the dual-electrode structural unit corresponding to the average value of the time delay is a metabolic abnormality site on the surface of the connective tissue; If the average value of the time delay is not greater than the time threshold, the dual-electrode structural unit corresponding to the average value of the time delay is not a metabolic abnormality site on the surface of the connective tissue.

3. A method for monitoring abnormal connective tissue surface metabolism according to claim 1, characterized in that: In the microcontroller module, the wavelet power of the surface bioelectric signal of each dual-electrode structural unit in a specific frequency band is calculated, the activity information of the connective tissue surface metabolism of each dual-electrode structural unit is obtained, and a display control signal is generated accordingly and sent to the image display module to display each image display color block.

4. A method for monitoring abnormal connective tissue surface metabolism according to claim 3, characterized in that: In the microcontroller module, the wavelet power of the surface bioelectric signal of each dual-electrode structure unit in the frequency range of 0.05-0.25Hz is calculated, and then the wavelet energy is obtained according to the wavelet power. The wavelet energy is normalized and converted into color block brightness, and then the image display color block corresponding to the dual-electrode structure unit is controlled to display.

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