Jing Jin

The East China University of Science and Technology

Presentation title: Brain computer interfaces at ECUST

Abstract: The aim of a brain-computer interface (BCI) is to provide a communication channel for patients who have lost normal communication abilities due to severe motor impairments. Many studies of ECUST BCI lab were focused on P300-based BCI system and motor imagery-based rehabilitation system. A new non-row/column flash pattern based on binomial coefficients code was presented to overcome the problems of stimulus optimization, and endogenous induction was used to replace the strong visual stimulation to decrease the visual fatigue. Online training was used to avoid the offline training, and a new correlation method of time windows was used to remove the noises from sample difference. New brain computer interface systems were developed for communication, assessment of state of consciousness and active stroke rehabilitation. These developed systems Chinese medical device registration certificate and production license. The related products have been applied in more than 10 countries such as China, Germany and Japan, etc.

Biography

Jing Jin is a full professor, the head of the Lab for Brain-Computer Interfaces and Control, the chair of the department of automation in the East China University of Science and Technology, Winner of National Special Support Program for High-Level Talents, Shanghai “Shuguang” Scholar and distinguished professor of Shanghai Oriental Scholar. At ECUST, he is the Chair of Automation Department and the head of the Lab for Brain-Computer Interfaces and Control. He is member of International BCI Award Foundation (Europe) and member of Evaluation Committee for Young Scientist Award of International Brain Computer Interface Society. He serves as the Secretary General of the brain computer interface group of the Chinese society of Biomedical Engineering, the member of the Education Working Committee of the Chinese society of automation, and a distinguished expert of the Chinese society of automation. He also serves as the Associate Editor of Journal of Neuroscience Methods, Cognitive Neurodynamics and Frontiers in Neurorobotics, Action Editor of Neural Networks, Editor of Journal of Neural Engineering. He published more than 130 papers in the Journal of neural engineering, a top journal in the field of brain computer interface, IEEE Transactions on neural networks and learning systems, a top journal of Chinese Academy of Sciences, 12 papers highly cited by ESI, and cited by academic Google for more than 5500 times. He was selected as the Most Cited Chinese Researchers in the field of Biomedical Engineering for six years. He has won the second prize in Shanghai's Natural Science Award in 2018 (Ranking first). The team led by Prof. Jin won the title of “shanghai worker pioneer”. Relevant transformation results have obtained China's medical device registration certificate and production license.