Brain-computer interface rehabilitation training system and training method

A technology of rehabilitation training and brain-computer interface, which is applied in the field of brain-computer interface rehabilitation training system, can solve the problems of few products and stay at the scientific research level, etc., and achieves the effect of low price and meeting the needs of rehabilitation training.

Pending Publication Date: 2022-05-17
山东海天智能工程有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, most of the research on this technology mainly stays at the level of scientific research in universities, and there are not many products.

Method used

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  • Brain-computer interface rehabilitation training system and training method
  • Brain-computer interface rehabilitation training system and training method

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Embodiment Construction

[0017] Accompanying drawing is a kind of specific embodiment of the present invention. This embodiment includes an EEG controller, and the EEG controller is connected with seven groups of sensor points, the seven groups of sensor points are AF3 and AF4 located at the front, two groups of F7 and F8 and T7 and T8 located on both sides, and the sensor points located in the middle. Two groups of F3 and F4, FC5 and FC6, P7 and P8 at the rear, O1 and O2 at the rear end, the EEG controller is connected to the EMG biofeedback rehabilitation instrument through wireless, and the EEG controller and EMG biofeedback rehabilitation apparatus There are thinking signal module, myoelectric signal module and gyroscope signal module wirelessly connected among them, the myoelectric biofeedback rehabilitation instrument is connected with several electrode stickers, and the myoelectric biofeedback rehabilitation instrument is connected with the industrial computer. The EEG controller is also connec...

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Abstract

The invention relates to a brain-computer interface rehabilitation training system which comprises an electroencephalogram controller, the electroencephalogram controller is connected with seven groups of sensor points, and the seven groups of sensor points are AF3 and AF4 located at the foremost end, two groups of F7 and F8 and T7 and T8 located on the two sides, two groups of F3 and F4 and FC5 and FC6 located in the middle, P7 and P8 located at the rear portion and O1 and O2 located at the rearmost end. The electroencephalogram controller is wirelessly connected with the myoelectricity biofeedback rehabilitation instrument, a thinking signal module, a myoelectricity signal module and a gyroscope signal module are wirelessly connected between the electroencephalogram controller and the myoelectricity biofeedback rehabilitation instrument, the myoelectricity biofeedback rehabilitation instrument is connected with a plurality of electrode patches, and the myoelectricity biofeedback rehabilitation instrument is connected with the industrial personal computer. The cerebral apoplexy rehabilitation training device has the advantages that the electroencephalogram signals of imaginary movement of a patient are collected through the electroencephalogram controller, training is conducted, muscles of the patient are stimulated, and the rehabilitation training requirement of the cerebral apoplexy patient is met.

Description

(1) Technical field [0001] The invention belongs to the field of artificial intelligence medical technology, and in particular relates to a brain-computer interface rehabilitation training system and training method. (2) Background technology [0002] With the deepening of the aging population in China, the number of stroke patients is increasing, and a large number of people have the needs of rehabilitation medical treatment. The core technology of the brain-computer interface rehabilitation training system is the brain-computer interface technology. A new technology for establishing direct information exchange and control between the human brain and computers or other electronic devices. Internationally, Austria analyzed the EEG phenomena of normal people during actual and imaginary limb movements, introduced event-related synchronization / desynchronization phenomena, and formed two representative BCI systems, GlazI and GlazII; The research work on the EEG signal control p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61N1/36A61N1/08
CPCA61N1/36003A61N1/08
Inventor 张海燕张海峰赵绍晴郭新峰张逸飞张虎马笃峰
Owner 山东海天智能工程有限公司
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