Starting and finishing gait detection using a BMI for spinal cord injury rehabilitation
作者： Enrique Hortal , Ester Marquez-Sanchez , Alvaro Costa , Elisa Pinuela-Martin , Rocio Salazar-Varas
DOI: 10.1109/IROS.2015.7354259
关键词: Lower limb 、 Spinal cord injury 、 Exoskeleton 、 Wearable computer 、 Physical medicine and rehabilitation 、 Brain–computer interface 、 Spinal cord injury rehabilitation 、 Gait (human) 、 Rehabilitation 、 Engineering
摘要: Regain the ability of walking represents a great progress for people with disabilities. The main goal this paper is verification method to detect intention starting and finishing gait. This was checked using recordings from spinal cord injury patients. system has been designed be part control lower limb wearable exoskeleton which will used not only in rehabilitation process but also assistive tasks. Four patients took experiment. Three them obtained hopeful results achieving high rate detection start stop intentions (68.6% averaged) low wrong classification (around 1.51 per minute average), obtaining good accuracy 80.0%). However, does seem accurate one (P3).
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