A Brain-Computer Interface Based Cognitive Training System for Healthy Elderly: A Randomized Control Pilot Study for Usability and Preliminary Efficacy
Tih-Shih Lee(Duke-NUS Medical School), Kousik Krishnan(Duke Medical Center), Siau Juinn Alexa Goh(National University of Singapore), Cuntai Guan(Nanyang Technological University), Chuan Chu Wang(Institute for Infocomm Research), Shin Yi Quek(National University of Singapore), Lei Feng(Ministry of Public Security of the People's Republic of China), Rachel Phillips(Imperial College London), Zheng Yang Chin(Agency for Science, Technology and Research), Tze Pin Ng(Khoo Teck Puat Hospital), Stephanie Sze Wei Teng(National University of Singapore), Jimmy Lee(National University of Singapore), Yin Bun Cheung(National University of Singapore), Haihong Zhang(Zhejiang Sci-Tech University), Richard S.E. Keefe(Duke Medical Center)
Cited by 117
Related Papers
A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI
|IEEE Transactions on Neural Networks and Learning Systems|2020|2.1k
How mental health care should change as a consequence of the COVID-19 pandemic
|The Lancet Psychiatry|2020|1.9k
Persistent cannabis users show neuropsychological decline from childhood to midlife
|Proceedings of the National Academy of Sciences|2012|1.5k
Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface
|Unknown|2008|1.4k
Effects of Exercise Training on Older Patients With Major Depression
|Archives of Internal Medicine|1999|1.3k