Literature DB >> 30440919

Real-time Electromyography-driven Functional Electrical Stimulation Cycling System for Chronic Stroke Rehabilitation.

Yuqi Fang, Sai Chen, Xiaojun Wang, Kenry W C Leung, Xin Wang, Kai-Yu Tong.   

Abstract

Stroke-induced lower extremity dysfunction has become a severe medical problem nowadays and effective rehabilitation methods are in great demand. In this work, a new real-time Electromyography-driven Functional Electrical Stimulation (FES) cycling system was developed to help chronic stroke patients with lower limb rehabilitation training. To evaluate the feasibility and effectiveness of this system, 3 chronic stroke subjects were recruited and each received 20 training sessions where real-time Electromyography (EMG) was used to interact with the cycling system. During the training, two typical metrics, averaged Area Under Torque (AUT) and maximal EMG amplitude, were adopted to measure the muscle strength changes of hamstring (HS). The training results showed that the two measurements of HS both significantly increased, especially the maximal EMG amplitude in the last trial was twice as much as that in the first trial, indicating paretic limb strength increment and functional recovery, which suggested that our system is effective and helpful in the stroke rehabilitation.

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Year:  2018        PMID: 30440919     DOI: 10.1109/EMBC.2018.8512747

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  1 in total

1.  Embedded Bio-Mimetic System for Functional Electrical Stimulation Controlled by Event-Driven sEMG.

Authors:  Fabio Rossi; Paolo Motto Ros; Ricardo Maximiliano Rosales; Danilo Demarchi
Journal:  Sensors (Basel)       Date:  2020-03-10       Impact factor: 3.576

  1 in total

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