Rehabilitation method and system based on brain-computer interface technology of motion observation

A brain-computer interface and motion technology, applied in the field of biomedicine, can solve problems such as patient pain, and achieve the effects of strong generalization ability, good classification effect and good adaptability.

Pending Publication Date: 2021-06-22
TIANJIN UNIVERSITY OF TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Motor imagery therapy is a rehabilitation treatment that is closely related to the patient's active movement, but motor imagery therapy has relatively high requirements for stroke patients, requiring patients to have a high degree of cooperation and imagination, and the brain-computer based on this method Interface technology needs to be used in conjunction with external rehabilitation equipment to achieve a certain curative effect, which requires the patient to have a certain ability to exercise, otherwise it will cause certain pain to the patient

Method used

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  • Rehabilitation method and system based on brain-computer interface technology of motion observation
  • Rehabilitation method and system based on brain-computer interface technology of motion observation
  • Rehabilitation method and system based on brain-computer interface technology of motion observation

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Embodiment 1

[0058] Such as figure 1 As shown, the present invention discloses a rehabilitation method based on the brain-computer interface technology of motion observation, comprising the following steps:

[0059] Assembling EEG data acquisition equipment for patients;

[0060] Play sports rehabilitation action multimedia files for the patient;

[0061] Collecting the brain wave signal of the patient watching the multimedia file;

[0062] performing feature extraction after the brain wave signal is preprocessed;

[0063] Input the extracted features into the rehabilitation evaluation model;

[0064] Based on the output result of the rehabilitation evaluation model, the rehabilitation strategy is adjusted.

Embodiment 2

[0066] The present invention proposes a rehabilitation method based on the brain-computer interface technology of motion observation, comprising the following steps:

[0067] Assembling EEG data acquisition equipment for patients;

[0068] Play sports rehabilitation action multimedia files for the patient;

[0069] Collecting the brain wave signal of the patient watching the multimedia file;

[0070] performing feature extraction after the brain wave signal is preprocessed;

[0071] Input the extracted features into the rehabilitation evaluation model;

[0072] Based on the output result of the rehabilitation evaluation model, the rehabilitation strategy is adjusted.

[0073] Further, the EEG data acquisition equipment uses a portable EEG signal amplifier, the electrode positions are positioned by international standard 10-20 electrode leads, the EEG cap has 35 channels, the reference electrode is set at the mastoid, and the sampling frequency is set at 256 Hz.

[0074] Fu...

Embodiment 3

[0093] In a certain embodiment of the invention, the following method is disclosed:

[0094] Step 1: Establish the rehabilitation video library needed for sports observation, and clarify the types of videos that play different rehabilitation roles.

[0095] Step 2: Select the rehabilitation task and set the number of experiments, and collect EEG signals.

[0096] Step 3: Process the collected EEG data, filter out EMG and EEG to complete preprocessing. Intercept the data segments before and after the stimulation event of the leads (C3, CZ, C4) related to the motor area.

[0097] Step 4: Perform time-frequency analysis on the preprocessed EEG data, analyze the brain activity qualitatively and quantitatively, and convert it into an indicator that can visually display the activity of the brain.

[0098] Step 5: Build a CNN+LSTM neural network. The neural network includes a convolutional layer, a pooling layer, an LSTM, and a fully connected layer.

[0099] Step 6: Use the built...

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Abstract

The invention discloses a rehabilitation method and system based on a brain-computer interface technology of motion observation. The method comprises the following steps: assembling electroencephalogram data acquisition equipment for a patient; playing an exercise rehabilitation action multimedia file for the patient; collecting brain wave signals when the patient watches the multimedia file; preprocessing the brain wave signal and then carrying out feature extraction; inputting the extracted features into a rehabilitation evaluation model; and adjusting a rehabilitation strategy based on an output result of the rehabilitation evaluation model. The brain-computer interface based on the motion observation therapy can feed back the change condition of brain waves of a patient in a certain mode through the brain-computer interface technology when the patient performs motion observation, so that the attention and enthusiasm of the patient during rehabilitation training are greatly improved, and effective nerve remodeling and motion function recovery can be performed.

Description

technical field [0001] The invention belongs to the field of biomedicine, and in particular relates to a rehabilitation method and system based on a motion observation-based brain-computer interface technology. Background technique [0002] Stroke includes cerebrovascular diseases such as cerebral hemorrhage and cerebral infarction. It is mainly caused by brain nerve dysfunction caused by cerebral vascular obstruction. After treatment, most strokes leave sequelae, manifested as impaired motor function and muscle atrophy. Different degrees of limb movement dysfunction are the main diseases that cause limb movement disorders. If the brain nerves can be reactivated, the motor nerve pathways can be rebuilt, and the limbs can be trained to improve muscle strength, the patient can recover motor function. [0003] Studies at home and abroad have proved that rehabilitation nursing measures for stroke patients can effectively reduce the disability rate of stroke patients. At presen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/378A61B5/256A61B5/00
CPCA61B5/7225A61B5/6803A61B5/7257A61B5/7267
Inventor 李鹏海徐涵陈超刘瀛涛刘聪殷灿黄娟娟苏建贤李雪情杜璞国海铭王辰孟艳芸
Owner TIANJIN UNIVERSITY OF TECHNOLOGY
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