Electroencephalogram signal guidance-based electrical stimulation swallowing rehabilitation system

Abstract

The invention discloses an electroencephalogram signal guidance-based electrical stimulation swallowing rehabilitation system, which comprises an electrical stimulation module for applying electrical stimulation to a target area of a user; the parameter configuration module is used for setting initial stimulation parameters of the electrical stimulation module; the control module is used for controlling the electrical stimulation module to execute electrical stimulation operation based on the parameters configured by the parameter configuration module; the signal acquisition module is used for acquiring electroencephalogram data of a user in real time; the data processing module is used for preprocessing the electroencephalogram data acquired by the electroencephalogram signal acquisition module; the data analysis module is used for analyzing the electroencephalogram data preprocessed by the data processing module; the control module also automatically starts and stops or adjusts the stimulation parameters of the electrical stimulation module based on the analysis result of the data analysis module. According to the electrical stimulation swallowing rehabilitation system based on electroencephalogram signal guidance, electroencephalogram signal monitoring and the electrical stimulation technology are combined, and accurate rehabilitation treatment of the swallowing function is achieved.

Description

Technical Field

[0001] The present invention specifically relates to an electrical stimulation swallowing rehabilitation system guided by electroencephalogram signals. Background Art

[0002] Dysphagia, especially neurogenic dysphagia, is a common complication of many diseases (such as stroke, brain injury, Parkinson's disease, etc.), which seriously affects the quality of life and nutritional intake of patients. Traditional rehabilitation treatment methods include speech therapy, swallowing training, body position adjustment, etc. Although these methods have certain therapeutic effects, the rehabilitation cycle is long, individual differences are large, and the effect is limited for some severe patients. Summary of the invention

[0003] The present invention provides an electrical stimulation swallowing rehabilitation system guided by EEG signals to solve the above-mentioned technical problems, and specifically adopts the following technical solutions:

[0004] An electrical stimulation swallowing rehabilitation system based on EEG signal guidance, comprising:

[0005] an electrical stimulation module for applying electrical stimulation to a target area of ​​a user;

[0006] A parameter configuration module, used to set the initial stimulation parameters of the electrical stimulation module;

[0007] A control module, configured to control the electrical stimulation module to perform an electrical stimulation operation based on the parameters configured by the parameter configuration module;

[0008] Signal acquisition module, used to collect the user's EEG data in real time;

[0009] A data processing module, used for preprocessing the EEG data collected by the EEG signal collection module;

[0010] A data analysis module, used for analyzing the EEG data preprocessed by the data processing module;

[0011] The control module also automatically starts, stops or adjusts the stimulation parameters of the electrical stimulation module based on the analysis results of the data analysis module.

[0012] Furthermore, the electrical stimulation module is provided with a programmable micro-electrode array, which is arranged on the swallowing muscle groups of the throat, tongue root and bottom of the mouth;

[0013] The electrodes of the microelectrode array are made of one of platinum-iridium alloy and titanium-nickel alloy.

[0014] Furthermore, the data processing module performs denoising, filtering and baseline correction on the collected EEG signals.

[0015] Furthermore, the initial stimulation parameters of the electrical stimulation module set by the parameter configuration module include current intensity, frequency, pulse width and waveform.

[0016] Furthermore, the data analysis module extracts EEG features of the EEG data;

[0017] The data analysis module identifies the user's swallowing movement intention based on EEG features;

[0018] The control module automatically starts, stops or adjusts the stimulation parameters of the electrical stimulation module based on the recognition result of the data analysis module.

[0019] Furthermore, the data analysis module identifies the swallowing movement intention of the user when performing the swallowing action based on the trained classification model.

[0020] Furthermore, the electro-stimulation swallowing rehabilitation system guided by EEG signals also includes:

[0021] A first monitoring module, used to collect user's facial video data;

[0022] A recognition module for recognizing a user's emotions based on facial video data;

[0023] The control module also adjusts the stimulation parameters of the electrical stimulation module based on the recognition result of the recognition module.

[0024] Furthermore, the electro-stimulation swallowing rehabilitation system guided by EEG signals also includes:

[0025] The scoring module is used to score the user's satisfaction with the rehabilitation training based on the recognition result of the recognition module.

[0026] Furthermore, the electro-stimulation swallowing rehabilitation system guided by EEG signals also includes:

[0027] An evaluation module, used to conduct an initial evaluation of the user;

[0028] A determination module is used to determine the initial stimulation parameters of the parameter configuration module according to the evaluation result of the evaluation module.

[0029] Furthermore, the electro-stimulation swallowing rehabilitation system guided by EEG signals also includes:

[0030] The second monitoring module is used to collect physiological data such as the user's heart rate, blood pressure and blood oxygen saturation, and determine the user's physiological state based on the physiological data;

[0031] The early warning module sends a pause signal to the control module when the detection result of the second monitoring module indicates that the user is currently in an unsafe state, and the control module controls the electrical stimulation module to stop electrical stimulation.

[0032] The benefit of the present invention lies in that the provided electrostimulation swallowing rehabilitation system based on EEG signal guidance combines EEG signal monitoring with electrostimulation technology to achieve accurate rehabilitation treatment of swallowing function. By real-time monitoring of EEG activity, the system can intelligently identify the active state of the swallowing-related brain area and dynamically adjust the electrostimulation parameters accordingly, thereby improving the pertinence and effectiveness of the treatment.

[0033] The present invention is also beneficial in that the electro-stimulation swallowing rehabilitation system provided based on EEG signal guidance can determine the corresponding initial parameters according to the patient's specific conditions, and through a closed-loop feedback mechanism, achieve dynamic adjustment of the treatment parameters, thereby ensuring maximization of the treatment effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0035] Figure 1 It is a schematic diagram of the electro-stimulation swallowing rehabilitation system guided by EEG signals of the present application. DETAILED DESCRIPTION

[0036] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0037] like Figure 1 The present application shows an electrical stimulation swallowing rehabilitation system based on EEG signal guidance, which includes: an electrical stimulation module, a parameter configuration module, a control module, a signal acquisition module, a data processing module and a data analysis module.

[0038] Among them, the electrical stimulation module is used to apply electrical stimulation to the user's target area. Specifically, the electrical stimulation module uses a programmable micro-electrode array that can accurately act on swallowing muscle groups such as the throat, tongue root, and bottom of the mouth. The electrode material is selected from materials with good biocompatibility and excellent conductivity, such as platinum-iridium alloy or titanium-nickel alloy, to ensure safety and stability for long-term use.

[0039] The parameter configuration module is used to set the initial stimulation parameters of the electrical stimulation module. The electrical stimulation parameters include current intensity, pulse width, frequency and waveform, etc. By setting and adjusting these parameters, the best treatment effect can be achieved.

[0040] In an embodiment of the present application, the electrostimulation swallowing rehabilitation system guided by EEG signals further comprises: an evaluation module and a determination module. The evaluation module is used to perform an initial evaluation on the user. The determination module is used to determine the initial stimulation parameters of the parameter configuration module according to the evaluation results of the evaluation module.

[0041] It is understandable that before treatment, a personalized treatment profile is established for the patient through comprehensive clinical evaluation, including swallowing function test, EEG baseline measurement, etc. Based on the treatment data of a large number of patients, a machine learning model is constructed to predict the treatment effect under different parameter combinations, and the optimal initial parameters are recommended for each patient as the initial treatment plan.

[0042] The control module is used to control the electrical stimulation module to perform electrical stimulation operations based on the parameters configured by the parameter configuration module.

[0043] The signal acquisition module is used to collect the user's EEG data in real time. The module uses a high-sensitivity, low-noise EEG sensor array, covering brain areas closely related to swallowing function (such as the precentral gyrus, postcentral gyrus, insula, etc.). The sensor is in close contact with the scalp through conductive gel to ensure accurate signal collection. At the same time, the dry electrode or flexible electrode design is used to improve wearing comfort and reduce skin irritation.

[0044] The data processing module is used to pre-process the EEG data collected by the EEG signal acquisition module. The data processing module first pre-processes the collected EEG signals, including denoising, filtering, baseline correction and other steps to improve the signal quality.

[0045] The data analysis module is used to analyze the EEG data preprocessed by the data processing module. The control module also automatically starts, stops or adjusts the stimulation parameters of the electrical stimulation module based on the analysis results of the data analysis module.

[0046] In an embodiment of the present application, the data analysis module extracts EEG features of EEG data. Specifically, independent component analysis (ICA), wavelet transform, machine learning and other algorithms are used to extract features of EEG signals. The data analysis module identifies the user's swallowing movement intention based on the EEG features. Preferably, the data analysis module identifies the user's swallowing movement intention based on a trained classification model. The control module adjusts the stimulation parameters of the electrical stimulation module based on the recognition results of the data analysis module.

[0047] The user wears an EEG cap to collect EEG data in real time throughout the whole process. The system analyzes the patient's EEG signals in real time. When it detects that the patient has the intention to swallow, it starts the electrical stimulation module to perform electrical stimulation to assist the patient in swallowing rehabilitation training, so as to realize what the patient wants and wants. Electrical stimulation generally does not stimulate all the time, and it may stop after a short period of time. The system will set a safety time between the current electrical stimulation and the next electrical stimulation. In addition, different adjustment strategies are implemented based on different swallowing movement intentions. Specifically, when EEG activity is detected in the swallowing preparation stage, the stimulation intensity or frequency is appropriately increased on the basis of the initial parameters to promote muscle contraction. In the swallowing execution stage, the stimulation intensity can be reduced on the basis of the initial parameters to avoid excessive muscle contraction. That is, in an embodiment of the present application, the control module automatically starts and stops and adjusts the stimulation parameters of the electrical stimulation module based on the analysis results of the data analysis module.

[0048] In an embodiment of the present application, the electrostimulation swallowing rehabilitation system guided by EEG signals further comprises: a first monitoring module, the first monitoring module is used to collect the user's facial video data. The recognition module is used to recognize the user's emotions based on the facial video data. The control module also adjusts the stimulation parameters of the electrostimulation module based on the recognition result of the recognition module.

[0049] For example, when it is detected that the user is in an uncomfortable state, the stimulation intensity can be appropriately reduced to avoid causing harm to the user.

[0050] In an embodiment of the present application, the electrostimulation swallowing rehabilitation system guided by EEG signals also includes: a scoring module. The scoring module is used to score the user's satisfaction with the rehabilitation training based on the recognition result of the recognition module. Furthermore, the treatment plan for the user can be adjusted based on the scoring result of the scoring module. It is understandable that tools such as swallowing angiography and swallowing function scales can also be used to regularly evaluate the patient's swallowing function recovery to provide a basis for the optimization of the treatment plan.

[0051] In an embodiment of the present application, the electrostimulation swallowing rehabilitation system guided by EEG signals also includes: a second monitoring module. The second monitoring module is used to collect physiological data such as the user's heart rate, blood pressure, and blood oxygen saturation, and determine the user's physiological state based on the physiological data. When the detection result of the second monitoring module indicates that the user is currently in an unsafe state, the early warning module sends a pause signal to the control module, and the control module controls the electrostimulation module to stop electrostimulation. The system has a built-in current monitoring and protection mechanism. When an abnormal current is detected or the patient shows discomfort, the stimulation is stopped immediately to ensure the safety of the treatment process.

[0052] The electrostimulation swallowing rehabilitation system guided by EEG signals in this application can automatically record and store the patient's treatment data, including EEG signals, electrostimulation parameters, physiological parameters and treatment effect evaluation results, support data export and remote access, and facilitate scientific research analysis and clinical decision-making.

[0053] Example 1

[0054] A 65-year-old male patient with dysphagia caused by stroke was given rehabilitation training by the electro-stimulation swallowing rehabilitation system guided by EEG signals of the present application. First, an initial assessment was conducted, including swallowing function test, EEG baseline measurement, etc., to establish a personalized treatment profile for the patient. Then, according to the evaluation results, the initial treatment parameters were set, such as the current intensity of 1mA, the pulse width of 200μs, and the frequency of 50Hz. During the treatment, the system monitors the patient's EEG signals in real time. When EEG activity is detected in the swallowing preparation stage, the stimulation intensity is automatically increased to 1.5mA to promote muscle contraction. In the swallowing execution stage, the stimulation intensity is reduced to 0.9mA to avoid excessive muscle contraction. At the same time, the system monitors the patient's heart rate, blood pressure and other physiological parameters in real time to ensure the safety of the treatment process. After one month of rehabilitation training, the patient's swallowing function improved significantly, and he was able to eat independently without any adverse reactions.

[0055] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the above embodiments do not limit the present invention in any form, and any technical solution obtained by equivalent replacement or equivalent transformation falls within the protection scope of the present invention.

Claims

1. An electrical stimulation swallowing rehabilitation system guided by EEG signals, characterized in that: Include: an electrical stimulation module for applying electrical stimulation to a target area of ​​a user; A parameter configuration module, used to set the initial stimulation parameters of the electrical stimulation module; A control module, configured to control the electrical stimulation module to perform an electrical stimulation operation based on the parameters configured by the parameter configuration module; Signal acquisition module, used to collect the user's EEG data in real time; A data processing module, used for preprocessing the EEG data collected by the EEG signal collection module; A data analysis module, used for analyzing the EEG data preprocessed by the data processing module; The control module also automatically starts, stops or adjusts the stimulation parameters of the electrical stimulation module based on the analysis results of the data analysis module.

2. The electro-stimulation swallowing rehabilitation system based on EEG signal guidance according to claim 1, characterized in that: The electrical stimulation module is provided with a programmable micro-electrode array, which is arranged on the swallowing muscle groups of the throat, tongue root and bottom of the mouth; The electrodes of the microelectrode array are made of one of platinum-iridium alloy and titanium-nickel alloy.

3. The electro-stimulation swallowing rehabilitation system based on EEG signal guidance according to claim 1, characterized in that: The data processing module performs denoising, filtering and baseline correction on the collected EEG signals.

4. The electroencephalogram-guided electrical stimulation swallowing rehabilitation system according to claim 1, characterized in that: The initial stimulation parameters of the electrical stimulation module set by the parameter configuration module include current intensity, frequency, pulse width and waveform.

5. The electro-stimulation swallowing rehabilitation system based on EEG signal guidance according to claim 1, characterized in that: The data analysis module extracts EEG features of EEG data; The data analysis module identifies the user's swallowing movement intention based on EEG features; The control module automatically starts, stops or adjusts the stimulation parameters of the electrical stimulation module based on the recognition result of the data analysis module.

6. The electroencephalogram-guided electrical stimulation swallowing rehabilitation system according to claim 5, characterized in that: The data analysis module identifies the user's swallowing movement intention based on the trained classification model.

7. The electro-stimulation swallowing rehabilitation system based on EEG signal guidance according to claim 6, characterized in that: The electrostimulation swallowing rehabilitation system based on EEG signal guidance also includes: A first monitoring module, used to collect user's facial video data; A recognition module for recognizing a user's emotions based on facial video data; The control module also adjusts the stimulation parameters of the electrical stimulation module based on the recognition result of the recognition module.

8. The electro-stimulation swallowing rehabilitation system based on EEG signal guidance according to claim 7, characterized in that: The electrostimulation swallowing rehabilitation system based on EEG signal guidance also includes: The scoring module is used to score the user's satisfaction with the rehabilitation training based on the recognition result of the recognition module.

9. The electroencephalogram-guided electrical stimulation swallowing rehabilitation system according to claim 1, characterized in that: The electrostimulation swallowing rehabilitation system based on EEG signal guidance also includes: An evaluation module, used to conduct an initial evaluation of the user; A determination module is used to determine the initial stimulation parameters of the parameter configuration module according to the evaluation result of the evaluation module.

10. The electroencephalogram-guided electrical stimulation swallowing rehabilitation system according to claim 1, characterized in that: The electrostimulation swallowing rehabilitation system based on EEG signal guidance also includes: The second monitoring module is used to collect physiological data such as the user's heart rate, blood pressure and blood oxygen saturation, and determine the user's physiological state based on the physiological data; The early warning module sends a pause signal to the control module when the detection result of the second monitoring module indicates that the user is currently in an unsafe state, and the control module controls the electrical stimulation module to stop electrical stimulation.

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