A Brain-Computer Interface-Based Tactile Feedback Ankle Function Training System

Abstract

The invention discloses a tactile feedback ankle joint function training system based on a brain-computer interface, which includes a training chair used for user training; a user interface module, including a display screen and a host, capable of providing animations based on steady-state visual arousal For users to watch; the EEG acquisition and processing module is used to collect, filter and amplify the EEG signals generated after the user watches the animation, and transmit the processing results to the control feedback module; the control feedback module, according to the EEG The signal controls the intensity and frequency of the vibration module through the single-chip microcomputer, and performs vibration training on the user's calf muscles. The user can control the position of the vibration on the training side through active intention. The present invention uses brain-computer interface to extract the user's EEG signal for tactile training to realize active intention training; training based on steady-state visual induction technology simulates the gait cycle in the walking process, which is helpful for the user's proprioception and Abnormal gait training.

Description

technical field [0001] The invention belongs to the technical field of training devices, and in particular relates to a brain-computer interface-based tactile feedback ankle joint function training system. Background technique [0002] At present, the tactile training for the ankle joint of stroke users usually increases the user's proprioceptive input through occupational training, improves the excitation of damaged neural structures or promotes the formation of new pathways to restore normal function. However, traditional training is time-consuming and labor-intensive. Due to passive training, the user's participation in the training process is poor, which is not conducive to the user's nerve and proprioception training. The development of brain-computer interface technology provides a basis for users to perform tactile feedback training through active intention. [0003] The training of abnormal gait and tactile feedback of stroke users is very important. At present, the...

AI Technical Summary

Problems solved by technology

[0003] The training of abnormal gait and tactile feedback of stroke users is very important. At present, the existing training is time-consuming and laborious and lacks pertinence. It lacks the use of the user's active intention to achieve ankle joint tactile feedback and abnormal gait improvement.

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