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FES proportional tuning based on sEMG

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationIntelligent Robotics and Applications
Subtitle of host publication12th International Conference, ICIRA 2019, Shenyang, China, August 8–11, 2019, Proceedings, Part IV
EditorsHaibin Yu, Jinguo Liu, Liaqing Liu, Zhaojie Ju, Yuwang Liu, Dalin Zhou
PublisherSpringer
Chapter18
Pages211-220
Number of pages10
ISBN (Electronic)978-3-030-27538-9
ISBN (Print)978-3-030-27537-2
DOIs
Publication statusPublished - 3 Aug 2019
Event12th International Conference on Intelligent Robotics and Applications - Shenyang, China
Duration: 8 Aug 201911 Aug 2019

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume11743
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameLecture Notes in Artificial Intelligence
PublisherSpringer
Volume11743
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Intelligent Robotics and Applications
Abbreviated titleICIRA 2019
CountryChina
CityShenyang
Period8/08/1911/08/19

Documents

  • Zhou_FES Proportional Tuning_ICIRA2019_029_final_v3

    Rights statement: This is a post-peer-review, pre-copyedit version of an article published in Intelligent Robotics and Applications. ICIRA 2019. The final authenticated version is available online at: http://dx.doi.org/10.1007/978-3-030-27538-9_18.

    Accepted author manuscript (Post-print), 1.61 MB, PDF document

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