Multi-modal data fusion-based sarcopenia quantitative evaluation system

Abstract

The invention discloses a sarcopenia quantitative evaluation system based on multi-modal data fusion, and the system comprises a local unit which comprises an excitation module and a measurement module; the excitation module is used for generating an excitation signal and outputting the excitation signal to the human skin surface; the measuring module is used for collecting human body electric signals on the human body skin surface. The transmission unit is used for realizing data interaction between the local unit and the cloud unit; the cloud unit comprises a storage module, an operation module and a display module; the storage module is used for storing diagnosis parameters; the operation module is used for receiving the human body electric signal, converting the human body electric signal into a human body impedance detection value, matching the human body impedance detection value with the diagnosis parameter and generating a matching result; the display module is used for displaying the matching result. According to the method, the diagnosis cost can be reduced in the sarcopenia evaluation and diagnosis process, and the operation complexity is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of sarcopenia treatment, and in particular to a sarcopenia quantitative assessment system based on multimodal data fusion. Background Art

[0002] Sarcopenia, also known as "skeletal muscle aging" or "sarcopenia" clinically, refers to the decline in skeletal muscle mass and muscle strength caused by aging. Elderly people with sarcopenia usually have difficulty standing, slow walking, and are prone to falls and fractures. In addition, sarcopenia can also affect the patient's organ function, easily leading to heart and lung failure and even death of the patient. At present, clinical practice mainly uses CT or MRI or DXA to measure muscle volume or mass to achieve quantitative assessment and diagnosis of sarcopenia. The problems with the above-mentioned existing solutions are high cost-effectiveness and complex operation. Therefore, how to develop a new sarcopenia assessment device to overcome the above-mentioned problems in the existing technology is a direction that technicians in this field need to further study. Summary of the Invention

[0003] The purpose of the present invention is to provide a sarcopenia quantitative assessment system based on multimodal data fusion, which can reduce the diagnostic cost and operational complexity during the process of sarcopenia assessment and diagnosis.

[0004] The present invention discloses a sarcopenia quantitative assessment system based on multimodal data fusion, which includes:

[0005] A local unit, comprising: an excitation module and a measurement module;

[0006] The excitation module is used to generate an excitation signal and output the excitation signal to the surface of human skin;

[0007] The measuring module is used to collect human electrical signals on the surface of human skin;

[0008] A transmission unit, configured to implement data exchange between the local unit and the cloud unit;

[0009] A cloud unit, comprising a storage module, a computing module, and a display module;

[0010] The storage module is used to store diagnostic parameters;

[0011] The operation module is used to receive the human body electrical signal and convert it into a human body impedance detection value, and match the human body impedance detection value with the diagnostic parameter to generate a matching result;

[0012] The display module is used to display the matching result.

[0013] By adopting this technical solution, the local unit can be set up in the patient's home offline. The excitation module generates an excitation signal and outputs it to the patient's skin surface, which in turn generates an impedance change. The measurement module collects the human body electrical signal generated by this impedance change. This data is uploaded to the cloud unit and converted into a human body impedance detection value, and automatically matches the diagnostic parameters corresponding to the human body impedance detection value. The doctor logs in to the cloud unit and reads the diagnostic parameters to achieve remote data collection and online diagnosis of whether the patient suffers from sarcopenia with the help of this device.

[0014] Preferably, the incentive module includes:

[0015] A signal generating circuit, wherein the signal generating circuit is used to generate an AC sinusoidal signal;

[0016] a voltage-current conversion circuit, the voltage-current conversion circuit being signal-connected to the signal generating circuit and configured to convert the AC sinusoidal signal into an excitation signal;

[0017] an excitation electrode, the excitation electrode being connected to the voltage-current conversion circuit signal and being adapted to be attached to the surface of human skin;

[0018] The measurement module includes:

[0019] Measuring electrodes, the measuring electrodes are used to be attached to the surface of human skin;

[0020] A signal acquisition circuit, the signal acquisition circuit being connected to the measuring electrode signal and being used to sample the signal from the human skin surface through the measuring electrode;

[0021] The analog-to-digital conversion circuit is connected to the signal acquisition circuit and is used to convert the analog signal sampled by the signal acquisition circuit into a digital signal.

[0022] Preferably, the local unit further comprises:

[0023] The treatment module is used to generate a pulse stimulation current and output the pulse stimulation current to the surface of human skin.

[0024] By adopting this technical solution: when a patient is diagnosed with sarcopenia online, pulse stimulation current is output to the affected area for on-site treatment, thereby improving the treatment efficiency of sarcopenia patients.

[0025] Preferably, the treatment module comprises:

[0026] A frequency conversion circuit, wherein the frequency conversion circuit is used to generate a low-voltage pulse current;

[0027] The treatment electrode is electrically connected to the frequency conversion circuit and is used to be attached to the surface of human skin and output the low-voltage pulse current to the surface of human skin.

[0028] Preferably, the local unit further comprises:

[0029] A pulse acquisition module, wherein the pulse acquisition module is used to acquire a human body pulse waveform;

[0030] The computing module is also used to receive the human body pulse waveform and convert it into pulse data;

[0031] The display module is also used to display the pulse data.

[0032] This technology allows patients to collect pulse waveforms and upload them to a cloud unit, where they are converted into pulse data. Doctors can log in to the cloud unit and simultaneously read pulse data and diagnostic parameters, integrating traditional Chinese and Western medical diagnostic standards to improve the accuracy of online diagnosis.

[0033] Preferably, the local unit further comprises:

[0034] A mobile acquisition module, which is used to collect medical consultation data and human tongue images;

[0035] The computing module is also used to receive the human tongue image and perform pre-processing;

[0036] The display module is also used to display the pulse data, medical consultation data and the pre-processed human tongue image.

[0037] By adopting this technical solution: the patient's medical data and human tongue images are collected and uploaded to the cloud unit. Doctors can log in to the cloud unit to synchronously read the human tongue images and diagnostic parameters, integrate Chinese and Western medicine diagnostic standards, and improve the accuracy of online diagnosis.

[0038] Compared with the prior art, the present invention has the following technical advantages:

[0039] First, the present invention can achieve the evaluation and diagnosis of sarcopenia without the need for CT / MRI / DXA, thereby reducing the diagnostic cost and simplifying the operation process.

[0040] Secondly, the present invention realizes on-site treatment of sarcopenia after diagnosis, thereby improving the treatment efficiency of sarcopenia patients.

[0041] Third, the present invention combines Western medicine quantitative indicators with the four diagnostic characteristic standards of traditional Chinese medicine to achieve joint diagnosis of Chinese and Western medicine based on multimodal data.

[0042] Fourthly, the present invention can realize online diagnosis and immediate treatment for patients without leaving their homes.

[0043] Finally, the structure and logic of the present invention are relatively simple, and are easy to program and manufacture. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is a module schematic diagram of Example 1.

[0045] Figure 2 This is a schematic diagram of the local structure in Example 1.

[0046] In the figure, the corresponding components of the reference numerals are as follows:

[0047] 100, local unit; 200, transmission unit; 300, cloud unit; 700, host box; 710, charging port; 720, input panel; 730, connection port; 800, mobile electronic device; 900, pulse detection bracelet; 111, measuring electrode; 121, treatment electrode; 161, stimulation electrode. DETAILED DESCRIPTION

[0048] The following describes the embodiments of the present invention through specific examples. Those skilled in the art will readily understand the other advantages and benefits of the present invention from the disclosure herein. The present invention may also be implemented or applied through various other specific embodiments, and the details in this specification may be modified or altered based on different viewpoints and applications without departing from the spirit of the present invention.

[0049] Example 1, please refer to Figure 1-2 :

[0050] A sarcopenia quantitative assessment system based on multimodal data fusion includes: a local unit 100, a transmission unit 200, and a cloud unit 300. The transmission unit 200 is used to implement data interaction between the local unit 100 and the cloud unit 300.

[0051] The local unit 100 specifically includes an excitation module, a measurement module, a pulse acquisition module, a mobile acquisition module, and a treatment module. The excitation module is used to generate an excitation signal and output the excitation signal to the surface of the human skin; the measurement module is used to acquire human electrical signals on the surface of the human skin; the pulse acquisition module is used to acquire human pulse waveforms; the treatment module is used to generate a pulse stimulation current and output the pulse stimulation current to the surface of the human skin. The mobile acquisition module is used to collect medical consultation data and human tongue images.

[0052] Specifically, the excitation module includes a signal generating circuit, a voltage-current conversion circuit, and an excitation electrode 161. The signal generating circuit is configured to generate an AC sinusoidal signal. The voltage-current conversion circuit is signal-connected to the signal generating circuit and is configured to convert the AC sinusoidal signal into an excitation signal. The excitation electrode 161 is signal-connected to the voltage-current conversion circuit and is designed to adhere to the surface of human skin. The measurement module includes a measurement electrode 111, a signal acquisition circuit, and an analog-to-digital conversion circuit. The measurement electrode 111 is designed to adhere to the surface of human skin. The signal acquisition circuit is signal-connected to the measurement electrode 111 and is configured to sample signals from the surface of human skin via the measurement electrode 111. The analog-to-digital conversion circuit is connected to the signal acquisition circuit and is configured to convert the analog signals sampled by the signal acquisition circuit into digital signals. The treatment module includes a frequency conversion circuit and a treatment electrode 121. The frequency conversion circuit is configured to generate a low-voltage pulsed current. The treatment electrode 121 is electrically connected to the frequency conversion circuit and is configured to adhere to the surface of human skin and output the low-voltage pulsed current to the surface of human skin. The pulse acquisition module specifically uses a pulse detection bracelet 900, a mature existing device with a built-in MEMS piezoresistive array for acquiring the human radial artery pulse waveform. The mobile acquisition module uses a mobile electronic device 800 equipped with a camera and a customized app, connected to the host box 700 via Bluetooth protocol signals. The tongue image acquisition is standardized by the camera on the mobile electronic device 800 and the call of the customized app.

[0053] In this example, the control module, the signal generating circuit, the voltage-current conversion circuit, the signal acquisition circuit, the analog-to-digital conversion circuit, the frequency conversion circuit, and the transmission unit 200 are all configured to be integrated into a main box 700. The main box 700 is provided with a plurality of connection ports 730, and the measuring electrode 111, the treatment electrode 121, the excitation electrode 161, and the pulse detection bracelet 900 are respectively connected to the main box 700 through the connection ports 730.

[0054] The cloud unit 300 includes a storage module, a computing module, and a display module. The storage module is used to store diagnostic parameters. The computing module is used to receive human electrical signals and convert them into human impedance values, match the human impedance values with the diagnostic parameters, and generate matching results. The display module is used to display the matching results. The computing module is also used to receive human pulse waveforms and convert them into pulse data. The display module is also used to display the pulse data. The computing module is also used to receive and preprocess the human tongue image. The display module is also used to display the pulse data and the preprocessed human tongue image. The preprocessing includes capturing the tongue surface image, segmenting the tongue body ROI using a lightweight U-Net model, and quantifying the tongue quality (hue / saturation) and tongue coating (grayscale / texture) features in HSV space.

[0055] In this example, the measurement electrode 111, the treatment electrode 121, and the stimulation electrode 161 are each configured to be attached to the surface of human skin. The number of each of the measurement electrode 111, the treatment electrode 121, and the stimulation electrode 161 is configured to be at least two, and the number can be increased as needed.

[0056] The signal generating circuit is configured to generate an AC sinusoidal signal; the voltage-to-current conversion circuit is signal-connected to the signal generating circuit and configured to convert the AC sinusoidal signal into an excitation signal, which is then output to the surface of human skin via the excitation electrode 161. The signal acquisition circuit is signal-connected to the measuring electrode 111 and configured to sample signals from the surface of human skin via the measuring electrode 111; the analog-to-digital conversion circuit is connected to the signal acquisition circuit and the control module, respectively, and configured to convert the analog signal sampled by the signal acquisition circuit into a digital signal, which is then output to the control module. The frequency conversion circuit is configured to generate a low-voltage pulse current and output the low-voltage pulse current to the surface of human skin via the treatment electrode 121.

[0057] The diagnostic parameter includes a muscle mass index at the measurement site. Specifically, the muscle mass index at the measurement site can be determined using the BIA standard for detecting sarcopenia in the "Asian Consensus on the Diagnosis and Treatment of Sarcopenia."

[0058] In this example, the surface of the host box 700 may also be provided with an input panel 720, and the input panel 720 may be configured as a panel with several control buttons of different functions distributed on the panel. The input unit is connected to the control module through a signal line and is used to input control instructions to the control module. The input unit may also include a transmission module and an external mobile device; the transmission unit 200 may use a transmission protocol such as 4G, 5G, NFC, etc. to realize signal interaction with the remote unit. The host box 700 also integrates a power supply module for realizing power supply, and the power supply module may use a lithium battery. The surface of the host box 700 may also be provided with a charging port 710 connected to the power supply module. The charging port 710 may use a type C universal interface or other interfaces.

[0059] During operation, when the excitation signal generated by the excitation module passes through the human body, a weak voltage signal of the microvolt to millivolt level will be generated on the surface of the human body. Due to the different electrical properties of resistance, capacitance and other electrical properties of different human tissues, the obstruction to the current is also different, which will produce different electrical impedances. Therefore, it is only necessary to collect the electrical impedance value to judge the muscle mass of the human body accordingly. At this time, the signal acquisition circuit samples and amplifies the voltage signal through the measuring electrode 111 attached to the surface of the human skin to obtain the amplified analog signal. The analog-to-digital conversion circuit converts the analog signal sampled by the signal acquisition circuit into a digital signal, the control module reads the digital signal, and matches the data value of the digital signal with the pre-stored "Asian Sarcopenia Diagnosis and Treatment Consensus" on the standard of BIA detection of sarcopenia. Specifically: the preset normal male muscle mass index is ≥7.0kg / m², and the normal female muscle mass index is ≥5.7kg / m². When the digital signal value of a man is ≥7.0kg / m² or the digital signal value of a woman is ≥5.7kg / m², the judgment result is "healthy"; if the digital signal value of a man is <7.0kg / m² or the digital signal value of a woman is <5.7kg / m², the judgment result is "suffering from sarcopenia".

[0060] In this example, when a patient is diagnosed with sarcopenia, the treatment module is immediately activated. A low-frequency circuit generates a low-voltage pulse current, which is then output via treatment electrodes 121 to the affected area along the meridians, where it is applied to the corresponding acupuncture points for electrical stimulation. The stimulation areas are primarily located based on the directions of meridians in Traditional Chinese Medicine (including but not limited to the Hand Yangming Large Intestine Meridian, the Foot Yangming Stomach Meridian, and the Foot Taiyin Spleen Meridian). The stimulated acupuncture points include but are not limited to Jianyu, Quchi, Hegu, and Zusanli.

[0061] Furthermore, this solution can also set the pulse frequency output, voltage output, and stimulation site (specific meridian segments and acupoints) accordingly based on the muscle mass test results of the sarcopenia diagnostic unit. The pulse frequency output is set based on the muscle mass test results, including a warm-up phase, stimulation cycle, and cool-down phase. The stimulation intensity is set to a level where the muscles at the stimulation site are fully contracted, visible and palpable. When the muscles are no longer fully contracted, the intensity is immediately increased approximately every three minutes. Furthermore, the voltage and pulse frequency output can be controlled by connecting the mobile control app to the bioelectricity generating circuit via Bluetooth.

[0062] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited to the above embodiments. Even if various changes are made to the present invention, if these changes fall within the scope of the claims of the present invention and their equivalents, they still fall within the scope of protection of the present invention.

Claims

1. A sarcopenia quantitative assessment system based on multimodal data fusion, characterized by: include: A local unit, comprising: an excitation module and a measurement module; The excitation module is used to generate an excitation signal and output the excitation signal to the surface of human skin; The measuring module is used to collect human electrical signals on the surface of human skin; A transmission unit, configured to implement data exchange between the local unit and the cloud unit; A cloud unit, comprising a storage module, a computing module, and a display module; The storage module is used to store diagnostic parameters; The operation module is used to receive the human body electrical signal and convert it into a human body impedance detection value, and match the human body impedance detection value with the diagnostic parameter to generate a matching result; The display module is used to display the matching result.

2. The sarcopenia quantitative assessment system according to claim 1, characterized in that: The incentive module includes: A signal generating circuit, wherein the signal generating circuit is used to generate an AC sinusoidal signal; a voltage-current conversion circuit, the voltage-current conversion circuit being signal-connected to the signal generating circuit and configured to convert the AC sinusoidal signal into an excitation signal; an excitation electrode, the excitation electrode being connected to the voltage-current conversion circuit signal and being adapted to be attached to the surface of human skin; The measurement module includes: Measuring electrodes, the measuring electrodes are used to be attached to the surface of human skin; A signal acquisition circuit, the signal acquisition circuit being connected to the measuring electrode signal and being used to sample the signal from the human skin surface through the measuring electrode; The analog-to-digital conversion circuit is connected to the signal acquisition circuit and is used to convert the analog signal sampled by the signal acquisition circuit into a digital signal.

3. The sarcopenia quantitative assessment system according to claim 1, characterized in that: The local unit further comprises: The treatment module is used to generate a pulse stimulation current and output the pulse stimulation current to the surface of human skin.

4. The sarcopenia quantitative assessment system according to claim 3, characterized in that: The treatment module includes: A frequency conversion circuit, wherein the frequency conversion circuit is used to generate a low-voltage pulse current; The treatment electrode is electrically connected to the frequency conversion circuit and is used to be attached to the surface of human skin and output the low-voltage pulse current to the surface of human skin.

5. The sarcopenia quantitative assessment system according to claim 4, characterized in that: The local unit further comprises: A pulse acquisition module, wherein the pulse acquisition module is used to acquire a human body pulse waveform; The computing module is also used to receive the human body pulse waveform and convert it into pulse data; The display module is also used to display the pulse data.

6. The sarcopenia quantitative assessment system according to claim 5, characterized in that: The local unit further comprises: A mobile acquisition module, which is used to collect medical consultation data and human tongue images; The computing module is also used to receive the human tongue image and perform pre-processing; The display module is also used to display the pulse data, medical consultation data and the pre-processed human tongue image.

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