Quantitative Assessment Method of Force Tracking Capabilities for Detection of Motor Intentional Disorders
Abstract
Research context
OpenAlex topics: Neurobiology of Language and Bilingualism · EEG and Brain-Computer Interfaces · Stroke Rehabilitation and Recovery
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Affiliations
School of Industrial Engineering, University of Ulsan, Ulsan 44610, Korea
Samsung Medical Center, Department of Neurology, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea
Neuroscience Center, Samsung Medical Center, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea
Samsung Alzheimer Research Center, Samsung Medical Center, 81Irwon-ro, Gangnam-gu, Seoul 06351, Korea
Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 06351, Korea
Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea
Hyundai Motor Company, Seoul 100-011, Korea
Samsung Medical Center, Stem Cell & Regenerative Medicine Institute, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea
Department of Industrial and Management Engineering, Pohang University of Science and Technology, Pohang 37673, Korea
Funding
National Research Foundation of Korea · Ministry of Trade, Industry and Energy · Samsung Biomedical Research Institute grant