A device for treating epilepsy

Abstract

A kind of epilepsy treatment device, comprising: brain wave and muscle action acquisition record module, abnormal electrical signal is monitored, identified and recorded to brain by standard electrode continuously, muscle contraction condition is detected in real time by surface electromyographic sensor, and the action muscle block of abnormal protrusion exceeding 1 millimeter is identified, and is marked as potential high-risk muscle group;Discharge and action recurrence module, simulate muscle contraction situation during the seizure of epilepsy in non-attack state, replay the historical attack data of patient, simulate the brain electricity and muscle response waveform at that time, access low-frequency electric stimulation electrode in muscle point position, discharge current is adjusted by different gear, and the contraction intensity of muscle is controlled;Data processing and training feedback module, analyze data, and evaluate training intensity using training record.

Description

Technical Field

[0001] This invention relates to the technical field of medical devices, and more particularly to a device for treating epilepsy. Background Technology

[0002] Epilepsy is a chronic neurological disorder characterized by sudden, abnormal electrical discharges in the brain. During a seizure, patients often experience a variety of symptoms, including loss of consciousness, convulsions, foaming at the mouth, falls, and abnormal speech and behavior. These abnormal discharges trigger a series of involuntary muscle movements, particularly concentrated in key muscle groups such as the face and neck. This can lead to physical injuries during a seizure (such as biting the tongue, neck strain, or falls), and may also cause long-term effects on the brain and other organs.

[0003] Currently, the main methods for controlling epilepsy include drug therapy, surgical intervention, and neuromodulation techniques. While drug therapy is the conventional approach, it suffers from delayed efficacy, significant side effects, and strong long-term dependence, and it cannot provide immediate prediction or rapid response. Surgical and neuromodulation techniques (such as vagus nerve stimulation) have limited applicability and carry invasive risks, making them unsuitable for most patients.

[0004] In addition, although there are some portable devices on the market for monitoring brain waves, they are mainly used for data recording and diagnostic assistance, lacking functions for motion simulation and adversarial training related to muscle control, and cannot effectively help patients with preventive rehabilitation interventions during non-attack periods.

[0005] Therefore, existing technologies have the following main shortcomings in addressing sudden muscle movement control issues in epilepsy:

[0006] 1. Lack of synchronous acquisition of muscle responses: Traditional EEG monitoring devices only record brain discharges and ignore the movement information of key muscle groups, making it difficult to establish a complete "electrical-muscle-behavior" mapping relationship.

[0007] 2. Inability to conduct targeted training: Currently, there is no equipment that can simulate the seizure process and train the patient's muscle resistance ability in a non-seizure state, and patients lack a preventive exercise mechanism.

[0008] 3. Inadequate treatment feedback mechanism: The lack of a closed-loop mechanism between electrical stimulation control and muscle movement feedback system makes it impossible to effectively assess training effects.

[0009] 4. Poor user adaptability: Most existing devices lack personalized adjustment capabilities and cannot adjust the stimulation intensity and simulation frequency according to the patient's specific muscle response.

[0010] In conclusion, current technologies cannot provide effective training and prevention for epilepsy patients during non-seizure periods, nor can they fundamentally reduce the physical harm caused by epileptic seizures. Summary of the Invention

[0011] To overcome the shortcomings of the prior art, the technical problem to be solved by the present invention is to provide an epilepsy treatment device that can realize the synchronous acquisition and recording of brain waves and key muscle group movements, reproduce muscle responses during seizures, realize a muscle stress resistance training mechanism, improve the patient's ability to resist movements during future seizures, prevent high-risk movements through training, improve the quality of life of epilepsy patients, reduce accident risks, and assist in the rehabilitation process.

[0012] The technical solution of the present invention is: this epilepsy treatment device, comprising:

[0013] The EEG and muscle movement acquisition and recording module continuously monitors, identifies and records abnormal electrical signals in the brain using standard electrodes, and detects muscle contraction in real time using surface electromyography sensors. It identifies muscle groups with abnormal protrusions exceeding 1 mm and marks them as potentially high-risk muscle groups.

[0014] The discharge and movement reproduction module simulates muscle contraction during an epileptic seizure in a non-seizure state. By replaying the patient's historical seizure data, it simulates the brain and muscle response waveforms at that time. Low-frequency electrical stimulation electrodes are connected to muscle points, and the intensity of muscle contraction is controlled by adjusting the discharge current at different levels.

[0015] The data processing and training feedback module analyzes the data and uses training records to evaluate the training intensity.

[0016] The present invention has the following technical effects:

[0017] 1. Enhance muscle control: Training improves the muscles' resistance to contractions caused by abnormal electrical discharges, reducing the risk of injury during an attack.

[0018] 2. Rebuilding neuromuscular pathway memory: This helps the brain adapt to defense mechanisms against high-risk actions in non-seizure states, and may stimulate neuroplasticity;

[0019] 3. Non-invasive rehabilitation pathway: Utilizing surface electrodes and low-frequency stimulation technology, it requires no surgical intervention or drug dependence;

[0020] 4. Real-time personalized adjustment: Supports personalized training intensity, taking into account the differences of patients with different seizure frequencies, muscle strength, and age groups;

[0021] 5. Assist doctors in judgment and intervention: The device automatically generates training assessment reports to provide a basis for subsequent clinical treatment. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the epilepsy treatment device of the present invention.

[0023] Figure 2 This is a schematic diagram illustrating the collection of cortical discharge information according to the present invention.

[0024] Figure 3 This is a schematic diagram illustrating the process of collecting relevant muscle group contraction data according to the present invention.

[0025] Figure 4 This is a schematic diagram of the discharge process of the present invention. Detailed Implementation

[0026] like Figure 1 As shown, this epilepsy treatment device includes:

[0027] The EEG and muscle movement acquisition and recording module continuously monitors, identifies and records abnormal electrical signals in the brain using standard electrodes, and detects muscle contraction in real time using surface electromyography sensors. It identifies muscle groups with abnormal protrusions exceeding 1 mm and marks them as potentially high-risk muscle groups.

[0028] The discharge and movement reproduction module simulates muscle contraction during an epileptic seizure in a non-seizure state. By replaying the patient's historical seizure data, it simulates the brain and muscle response waveforms at that time. Low-frequency electrical stimulation electrodes are connected to muscle points, and the intensity of muscle contraction is controlled by adjusting the discharge current at different levels.

[0029] The data processing and training feedback module analyzes the data and uses training records to evaluate the training intensity.

[0030] The present invention has the following technical effects:

[0031] 1. Enhance muscle control: Training improves the muscles' resistance to contractions caused by abnormal electrical discharges, reducing the risk of injury during an attack.

[0032] 2. Rebuilding neuromuscular pathway memory: This helps the brain adapt to defense mechanisms against high-risk actions in non-seizure states, and may stimulate neuroplasticity;

[0033] 3. Non-invasive rehabilitation pathway: Utilizing surface electrodes and low-frequency stimulation technology, it requires no surgical intervention or drug dependence;

[0034] 4. Real-time personalized adjustment: Supports personalized training intensity, taking into account the differences of patients with different seizure frequencies, muscle strength, and age groups;

[0035] 5. Assist doctors in judgment and intervention: The device automatically generates training assessment reports to provide a basis for subsequent clinical treatment.

[0036] Preferably, the brainwave and muscle movement acquisition and recording module includes:

[0037] The EEG acquisition submodule follows the internationally accepted 10-20 system electrode distribution standard, with 21 standard electrode positions. High-sensitivity electrode caps are used to adhere to the scalp surface (e.g., ...). Figure 2 As shown), it continuously monitors, identifies, and records abnormal electrical signals in the brain;

[0038] The electromyography (EMG) signal acquisition submodule uses surface electromyography (EMG) sensors to set up detection points for the following key muscle groups: the masseter muscle in the face, and the trapezius, splenius capitis, rectus capitis posterior major, and longissimus capitis in the neck and back.

[0039] Preferably, the key muscle groups (such as...) Figure 3 The surface electromyography (EMG) sensor (as shown) identifies protrusions larger than 1 mm, determines that the muscle at that location has undergone significant contraction, and records the contraction data, including: time point, contraction amplitude, and frequency.

[0040] Preferably, the discharge and action reproduction module includes:

[0041] The electrical signal playback system simulates the brainwave and muscle response waveforms at the time by playing back the patient's historical seizure data.

[0042] The muscle stimulation system connects low-frequency electrical stimulation electrodes to key muscle points, and controls the intensity of muscle contraction by adjusting the discharge current at different levels.

[0043] Preferably, the discharge and action reproduction module also includes a user control interface, where the user can adjust the current intensity according to individual differences (which can be set to 5 levels).

[0044] Preferably, the discharge and motion reproduction module further includes a safety protection unit, which is equipped with a current limiting circuit, a motion limiter (such as a neck restraint strap), and a training time prompt.

[0045] Preferably, the data processing and training feedback module synchronously uploads the training records to the doctor's monitoring platform. The recorded data (as shown in Table 1) includes: electrode point number, electrode name, abnormal EEG discharge intensity, masseter muscle contraction, trapezius muscle contraction, splenius capitis muscle contraction, rectus capitis posterior major muscle contraction, and longissimus capitis muscle contraction.

[0046] Table 1

[0047]

[0048]

[0049] The collected tabular data is shown in Table 1. The relevant current data was then processed using computer control according to... Figure 4 As shown, it is applied to the patient's scalp and related muscles.

[0050] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Any simple modifications, equivalent changes, and alterations made to the above embodiments based on the technical essence of the present invention shall still fall within the protection scope of the present invention.

Claims

1. An epilepsy treatment device, characterized in that: It includes: The EEG and muscle movement acquisition and recording module continuously monitors, identifies and records abnormal electrical signals in the brain using standard electrodes, and detects muscle contraction in real time using surface electromyography sensors. It identifies muscle groups with abnormal protrusions exceeding 1 mm and marks them as potentially high-risk muscle groups. The discharge and movement reproduction module simulates muscle contraction during an epileptic seizure in a non-seizure state. By replaying the patient's historical seizure data, it simulates the brain and muscle response waveforms at that time. Low-frequency electrical stimulation electrodes are connected to muscle points, and the intensity of muscle contraction is controlled by adjusting the discharge current at different levels. The data processing and training feedback module analyzes the data and uses training records to evaluate the training intensity.

2. The epilepsy treatment device according to claim 1, characterized in that: The brainwave and muscle movement acquisition and recording module includes: The EEG acquisition submodule follows the internationally accepted 10-20 system electrode distribution standard, with 21 standard electrode points. It uses a high-sensitivity electrode cap to fit the scalp surface to continuously monitor, identify, and record abnormal electrical signals in the brain. The electromyography (EMG) signal acquisition submodule uses surface electromyography (EMG) sensors to set up detection points for the following key muscle groups: the masseter muscle in the face, and the trapezius, splenius capitis, rectus capitis posterior major, and longissimus capitis in the neck and back.

3. The epilepsy treatment device according to claim 2, characterized in that: The surface electromyography (EMG) sensor of the key muscle group identifies protrusions larger than 1 mm, determines that the muscle at that location has undergone significant contraction, and records the contraction data, including: time point, contraction amplitude, and frequency.

4. The epilepsy treatment device according to claim 3, characterized in that: The discharge and action reproduction module includes: The electrical signal playback system simulates the brainwave and muscle response waveforms at the time by playing back the patient's historical seizure data. The muscle stimulation system connects low-frequency electrical stimulation electrodes to key muscle points, and controls the intensity of muscle contraction by adjusting the discharge current at different levels.

5. The epilepsy treatment device according to claim 4, characterized in that: The discharge and action reproduction module also includes a user control interface, allowing users to adjust the current intensity according to individual differences.

6. The epilepsy treatment device according to claim 5, characterized in that: The discharge and motion reproduction module also includes a safety protection unit, which is equipped with a current limiting circuit, a motion limiter, and a training time prompt.

7. The epilepsy treatment device according to claim 6, characterized in that: The data processing and training feedback module synchronously uploads training records to the doctor's monitoring platform. The recorded data includes: electrode location number, electrode name, abnormal EEG discharge intensity, masseter muscle contraction, trapezius muscle contraction, splenius capitis muscle contraction, rectus capitis posterior major muscle contraction, and longissimus capitis muscle contraction.

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