This video is part of the AI in Healthcare Summit, Hong Kong, 2018 Event. If you would like to access all of the videos please click here.

Rehabilitation Robotics

Effective motor recovery after stroke depends on intensive voluntary practice of the paretic limbs. We investigate the characteristics of brain waves and muscle activities related to the paretic upper limb movements after stroke. Brain waves and muscle activities are recorded by electroencephalography (EEG) and electromyography (EMG) respectively through electrodes attached to the scalp and skin surface. EEG has been applied in Brain-computer-interface (BCI), which is opening doors to use the power of the mind to overcome the limitations of the body. Then, we developed interactive control strategies to control different rehabilitation training systems for hand training in clinical trials, such as functional electrical stimulation (FES) and rehabilitation robot. The intelligence system incorporated the EMG and EEG as the bio-parameters to indicate the voluntary effort from a subject. We applied these engineering-based technologies in the field of Neurorehabilitation, robotic system uses electric motor to provide external assistive force during the rehabilitation training. The clinical studies showed functional improvement in the clinical outcome measures on the upper limb. The EEG and MRI analysis had shown the neuroplastic changes.

Raymond Tong, Professor at The Chinese University of Hong Kong

Professor Raymond Kai-yu Tong obtained his B.Eng in Computer Engineering with the highest honor from the University of Hong Kong (HKU) in 1995 and received his PhD in Bioengineering from the University of Strathclyde, Glasgow, UK, in 1998. Next year, he joined the Hong Kong Polytechnic University served as the program leader of B.Sc in Biomedical Engineering until 2014. From 2016-2017, he was Biomedical Engineering Programme Director and Graduate Division Head at the Chinese University of Hong Kong (CUHK) and now he is serving as Chairman of Department of Biomedical Engineering at CUHK.

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