Prof. Zengguang Hou

Institute of Automation, Chinese Academy of Sciences

Talk Title

Diagnosis and Rehabilitation for the Motor and Cognitive Impairments with BCI.

Abstract

Motor and cognitive impairments frequently occur after stroke, traumatic brain injury and neurodegenerative disorders, greatly undermining patients’ daily functioning and life quality. Conventional rehabilitation mainly depends on passive training and subjective scales, suffering from limited patient engagement and insufficient quantitative assessment. BCI offers a promising tool for objective diagnosis and targeted rehabilitation. BCI enables objective grading of motor and cognitive deficits. Closed-loop BCI training based on motor imagery facilitates neural circuit reorganization. Clinical evidence shows BCI interventions boost active patient participation and improve motor performance as well cognitive functions. BCI exhibits considerable potential for quantitative diagnosis and rehabilitation of neurological impairments. This talk explores the opportunities in related fields, as well as thoughts and prospects on the intelligent development of rehabilitation robots in the future.

Biography

Zeng-Guang Hou is a professor at the Institute of Automation, Chinese Academy of Sciences (CAS). He is a VP of Chinese Association of Automation (CAA). Dr. Hou is a CAA/ IEEE Fellow. His research area includes medical robotics and computational intelligence for the rehabilitation of motor and cognitive impairments. He was a recipient the National Natural Science Award of China in 2017, the Outstanding Achievement Award of Asia Pacific Neural Network Society (APNNS) in 2017, the Dennis Gabor Award of International Neural Network Society (INNS) in 2023 and the Gold Medal of Geneva International Exhibition of Inventions in 2026.