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Annals of rehabilitation medicine, v.41 no.1, 2017년, pp.34 - 41
Hwang, Seungwon (Department of Rehabilitation Medicine, National Rehabilitation Center & Hospital, Seoul, Korea.) , Kim, Hye-Ri (Department of Rehabilitation Medicine, National Rehabilitation Center & Hospital, Seoul, Korea.) , Han, Zee-A (Department of Rehabilitation Medicine, National Rehabilitation Center & Hospital, Seoul, Korea.) , Lee, Bum-Suk (Department of Rehabilitation Medicine, National Rehabilitation Center & Hospital, Seoul, Korea.) , Kim, Soojeong (Department of Rehabilitation Medicine, National Rehabilitation Center & Hospital, Seoul, Korea.) , Shin, Hyunsoo (Department of Rehabilitation Medicine, National Rehabilitation Center & Hospital, Seoul, Korea.) , Moon, Jae-Gun (Department of Rehabilitation Medicine, National Rehabilitation Center & Hospital, Seoul, Korea.) , Yang, Sung-Phil (Department of Rehabilitation Medicine, National Rehabilitation Center & Hospital, Seoul, Korea.) , Lim, Mun-Hee (Department of Rehabilitation Medicine, National Rehabilitation Center & Hospital, Seoul, Korea.) , Cho, Duk-Youn (Translational Research Center for Rehabilitation Robots, National Rehabilitation Center & Hospital, Seoul, Korea.) , Kim, Hayeon (Tr) , Lee, Hye-Jin
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ObjectiveTo evaluate the clinical features that could serve as predictive factors for improvement in gait speed after robotic treatment.MethodsA total of 29 patients with motor incomplete spinal cord injury received 4-week robot-assisted gait training (RAGT) on the Lokomat (Hocoma AG, Volketswil, Sw...
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