An Exoskeleton BCI System for Stroke Rehabilitation Using Multi-modality Training Mode

Kai Hsiang Su, Chiao Hsin Chen, Chia Hsin Chen, Yong Liang Zhang, Li Wei Ko*

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

With the advent of the global aging era, the impact of stroke on humans is continuously increasing. Therefore, new therapeutic approaches to enhance patient recovery are receiving growing attention. Stroke is a severe neurological disorder that causes brain damage, requiring extended periods of rehabilitation for patients to return to normal life. Currently, common clinical methods largely rely on traditional passive limb rehabilitation, primarily targeting peripheral nerve training. Nowadays, an increasing number of people are recognizing the importance of post-stroke neuroplasticity. This study aims to activate patients' central nervous system and proposes a brain-machine interface (BCI) exoskeleton system based on human cognition. By designing three cognitive brainwave training models, including an attention-based standing-up model detecting θ-band power decrease, a relaxation-based sitting-down model detecting α-band power increase, and a walking model detecting MRCP, patients can actively control lower limb exoskeleton movement using brainwaves.This study provides cross-validation accuracy through both normal subjects and stroke patients, with accuracies of 87.13±9.38 and 80.83±9.68, respectively. Envisioning a rehabilitation system guided by human cognition, our team has developed an intuitive BCI exoskeleton system.

原文English
主出版物標題2023 International Automatic Control Conference, CACS 2023
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9798350306354
DOIs
出版狀態Published - 2023
事件2023 International Automatic Control Conference, CACS 2023 - Penghu, Taiwan
持續時間: 26 10月 202329 10月 2023

出版系列

名字2023 International Automatic Control Conference, CACS 2023

Conference

Conference2023 International Automatic Control Conference, CACS 2023
國家/地區Taiwan
城市Penghu
期間26/10/2329/10/23

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