Rehabilitation training method based on electroencephalogram signals, computer device and computer readable storage medium

Abstract

The invention provides a rehabilitation training method based on electroencephalogram signals, a computer device and a computer readable storage medium, and the method comprises the steps: obtaining training electroencephalogram signals collected by a brain computer, marking the training electroencephalogram signals through a preset timestamp, and obtaining rehabilitation training data; performingclassification model training on the rehabilitation training data by using a preset machine learning algorithm to obtain an instruction classification model; acquiring a current electroencephalogramsignal acquired by the brain-computer in real time, performing instruction classification prediction on the current electroencephalogram signal according to the instruction classification model, and determining an operation instruction corresponding to the current electroencephalogram signal; and controlling the VR equipment to perform visual feedback according to the operation instruction. The computer device comprises a controller, and the controller is used for implementing the method when executing the computer program stored in the memory. A computer program is stored in the computer readable storage medium, and the method is implemented when the computer program is executed by the controller. Electroencephalogram signals collected by a brain computer can be improved, and the controlprecision is improved.

Description

technical field [0001] The present invention relates to the field of EEG technology, in particular, to a rehabilitation training method based on EEG signals, to a computer device applying the EEG signal-based rehabilitation training method, and to applying the EEG signal-based rehabilitation training method A computer-readable storage medium for a method. Background technique [0002] Brain Computer Interface (BCI) is a new external information exchange and control technology that establishes between the human brain and computers or other electronic devices that does not rely on conventional brain information output pathways (peripheral nerves and muscle tissue). The original purpose of researching the BCI system is to provide a way for patients with neurological and motor system diseases to communicate with the outside world, allowing patients to control external devices with their own thinking and consciousness, and further improving the quality of life of patients. [00...

AI Technical Summary

Problems solved by technology

[0004] However, due to unstable factors in the acquisition of EEG signals by external brain-computer interaction devices, the signal quality is not good, resulting in low control accuracy of the brain-computer interface system

Images