Following stroke, rehabilitation exercises paired with medical treatment are important for the recovery and maintenance of upper limb function. We developed a 2-DOF passive haptic system for upper limb rehabilitation and software focusing on reaching exercises, known as the coin collecting program, which provides training and evaluation of motor function, particularly dexterity. Past studies have revealed quantitative, reproducible evaluation indices using this software. In this paper, we compared case studies of post-stroke patients with results from healthy participants, and confirmed the reliability of the evaluation indices in grading or scoring motor skills.
["Ken'ichi Koyanagi", 'Yuya Kuwahara', 'Takehiro Kamida', 'Takuya Ozawa', 'Rieko Mizukami', 'Kiyokazu Genda', 'Ayaka Mori', 'Tatsuo Motoyoshi', 'Hiroyuki Masuta', 'Toru Oshima']
Case studies in poststroke hemiplegic patients using SEMUL: A passive 2-DOF rehabilitation robot