The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2023
Session ID : 1A2-D24
Conference information

Neuro Rehabilitation Method Preventing the Collapse of Internal Model
-Verification of unconscious motor change caused by implicit error involved in multimodal sensory FBs-
*Chihiro TsurutaXinyi YangShutaro ToriyaKiichi NishimuraHiroyasu Iwata
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Keywords: Rehabilitation, VR, stroke
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Abstract

Motor and sensory paralysis are the major sequelae of stroke. One of the causes of gait disturbance due to motor paralysis is the collapse of the internal model. We proposed an agnostic error as a rehabilitation method to prevent the collapse of the internal model and to improve voluntariness. We tested the method on 12 healthy subjects, and found that the addition of implicit error had a positive effect on motor change. The most effective results were obtained under the condition that agnostic errors were applied to all of the somatosensory FB (walking on the walking robot), visual FB (walking scene shown in VR), and load transfer FB (plantar vibration provided by the robot).

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© 2023 The Japan Society of Mechanical Engineers
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