Adaptation of task difficulty in rehabilitation exercises based on the user's motor performance and physiological responses

IEEE International Conference on Rehabilitation Robotics

Volumn , Issue , 2013, Pages

  Shirzad, Navid ^a   Van Der Loos, H F Machiel ^a  

^a UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

desirable difficulty; error amplification; machine learning; motor performance; physiological signals; robotic reaching exercise; stroke therapy

Indexed keywords

DESIRABLE DIFFICULTY; ERROR AMPLIFICATION; MOTOR PERFORMANCE; PHYSIOLOGICAL SIGNALS; STROKE THERAPY;

DISCRIMINANT ANALYSIS; FORECASTING; LEARNING ALGORITHMS; LEARNING SYSTEMS; PATIENT TREATMENT; PHYSIOLOGY; ROBOTICS;

PATIENT REHABILITATION;

ADAPTATION; ADULT; ALGORITHM; ARTIFICIAL INTELLIGENCE; EXERCISE; FEMALE; HUMAN; MALE; REHABILITATION; TASK PERFORMANCE; YOUNG ADULT;

ADAPTATION, PHYSIOLOGICAL; ADULT; ALGORITHMS; ARTIFICIAL INTELLIGENCE; EXERCISE; FEMALE; HUMANS; MALE; REHABILITATION; TASK PERFORMANCE AND ANALYSIS; YOUNG ADULT;

EID: 84891124990     PISSN: 19457898     EISSN: 19457901     Source Type: Conference Proceeding    
DOI: 10.1109/ICORR.2013.6650429     Document Type: Conference Paper

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