@inproceedings{135a25cfd34d4ea59925f3c3f2a03d8e,
title = "FES Proportional Tuning Based on sEMG",
abstract = "It is evident that inappropriate functional electrical stimulation (FES) intensity is easy to trigger muscle fatigue and discomfortableness. This study proposes a FES tuning solution based on surface electromyography (sEMG), which is to form the relationship from sEMG to FES pulse width through the force. Six healthy subjects were invited to verify the proposed method based on the grip experiment. The feasibility of the estimated FES pulse width was evaluated respect to the correlation index (R) between the voluntary grip force and the FES-induced grip force. The experimental results indicated that the estimated pulse width could well induce the grip force that is similar to the voluntary force (\$\$R>0.9\$\$ ), demonstrating the effectiveness of the proposed method and confirming the potential for improving the experience of FES in clinical settings.",
keywords = "Functional electrical stimulation (FES), Signal processing, Surface electromyography (sEMG)",
author = "Yu Zhou and Jia Zeng and Kairu Li and Honghai Liu",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 12th International Conference on Intelligent Robotics and Applications, ICIRA 2019 ; Conference date: 08-08-2019 Through 11-08-2019",
year = "2019",
doi = "10.1007/978-3-030-27538-9\_18",
language = "英语",
isbn = "9783030275372",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "211--220",
editor = "Haibin Yu and Jinguo Liu and Lianqing Liu and Yuwang Liu and Zhaojie Ju and Dalin Zhou",
booktitle = "Intelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings",
address = "德国",
}