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Progress Monitoring in Upper Limb Stroke Rehabilitation by Using Muscle Activation and Hand Speed
Author(s) -
H. L. Lee,
Wan Khairunizam,
Basri Noor Cahyadi,
Wan Azani Mustafa,
Syed Zulkarnain Syed Idrus
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1529/4/042019
Subject(s) - rehabilitation , physical medicine and rehabilitation , stroke (engine) , virtual reality , electromyography , upper limb , lower limb , physical therapy , medicine , computer science , psychology , human–computer interaction , engineering , surgery , mechanical engineering
Nowadays, Virtual Reality (VR) technology is commonly used in the rehabilitation to increase the motivation of the stroke patients do the exercises, however, very few researches to monitor the rehabilitation progress has reported. VR based rehabilitation is interesting because could motivate stroke patients in their long-term rehabilitation process. This research is to evaluate the progress monitoring of the subject after conducting three sessions of rehabilitation exercise. Five male and female healthy subjects were selected to do the rehabilitation game. Three VR games are designed for the subject to perform three different movement sequences. The selected upper limb characteristics are muscle activation and hand speed. An Electromyography (EMG) is used to measure the muscle activation through an electrical activity of the muscle, while a Kinect sensor is used to measure the hand speed. The experimental results show that the proposed upper limb characteristics are able to be used for monitoring progress in the rehabilitation.

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