FES proportional tuning based on sEMG

Yu Zhou; Jia Zeng; Kairu Li; Honghai Liu

doi:10.1007/978-3-030-27538-9_18

FES proportional tuning based on sEMG

Yu Zhou, Jia Zeng, Kairu Li, Honghai Liu

Shanghai Jiao Tong University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

193 Downloads (Pure)

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.

Original language	English
Title of host publication	Intelligent Robotics and Applications
Subtitle of host publication	12th International Conference, ICIRA 2019, Shenyang, China, August 8–11, 2019, Proceedings, Part IV
Editors	Haibin Yu, Jinguo Liu, Liaqing Liu, Zhaojie Ju, Yuwang Liu, Dalin Zhou
Publisher	Springer
Chapter	18
Pages	211-220
Number of pages	10
ISBN (Electronic)	978-3-030-27538-9
ISBN (Print)	978-3-030-27537-2
DOIs	https://doi.org/10.1007/978-3-030-27538-9_18
Publication status	Published - 3 Aug 2019
Event	12th International Conference on Intelligent Robotics and Applications - Shenyang, China Duration: 8 Aug 2019 → 11 Aug 2019

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	11743
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Name	Lecture Notes in Artificial Intelligence
Publisher	Springer
Volume	11743
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	12th International Conference on Intelligent Robotics and Applications
Abbreviated title	ICIRA 2019
Country/Territory	China
City	Shenyang
Period	8/08/19 → 11/08/19

Keywords

fuunctional electrical stimulation (FES)
surface electromyography (sEMG)
signal processing

Access to Document

10.1007/978-3-030-27538-9_18

Zhou_FES Proportional Tuning_ICIRA2019_029_final_v3
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

Cite this

Zhou, Y., Zeng, J., Li, K., & Liu, H. (2019). FES proportional tuning based on sEMG. In H. Yu, J. Liu, L. Liu, Z. Ju, Y. Liu, & D. Zhou (Eds.), Intelligent Robotics and Applications: 12th International Conference, ICIRA 2019, Shenyang, China, August 8–11, 2019, Proceedings, Part IV (pp. 211-220). (Lecture Notes in Computer Science; Vol. 11743), (Lecture Notes in Artificial Intelligence; Vol. 11743). Springer. https://doi.org/10.1007/978-3-030-27538-9_18

Zhou, Yu ; Zeng, Jia ; Li, Kairu et al. / FES proportional tuning based on sEMG. Intelligent Robotics and Applications: 12th International Conference, ICIRA 2019, Shenyang, China, August 8–11, 2019, Proceedings, Part IV. editor / Haibin Yu ; Jinguo Liu ; Liaqing Liu ; Zhaojie Ju ; Yuwang Liu ; Dalin Zhou. Springer, 2019. pp. 211-220 (Lecture Notes in Computer Science). (Lecture Notes in Artificial Intelligence).

@inproceedings{e50ba17565b543dea8bfe5880b4ae975,

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 = "fuunctional electrical stimulation (FES), surface electromyography (sEMG), signal processing",

author = "Yu Zhou and Jia Zeng and Kairu Li and Honghai Liu",

year = "2019",

month = aug,

day = "3",

doi = "10.1007/978-3-030-27538-9_18",

language = "English",

isbn = "978-3-030-27537-2",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "211--220",

editor = "Haibin Yu and Jinguo Liu and Liaqing Liu and Zhaojie Ju and Yuwang Liu and Dalin Zhou",

booktitle = "Intelligent Robotics and Applications",

note = "12th International Conference on Intelligent Robotics and Applications, ICIRA 2019 ; Conference date: 08-08-2019 Through 11-08-2019",

}

Zhou, Y, Zeng, J, Li, K & Liu, H 2019, FES proportional tuning based on sEMG. in H Yu, J Liu, L Liu, Z Ju, Y Liu & D Zhou (eds), Intelligent Robotics and Applications: 12th International Conference, ICIRA 2019, Shenyang, China, August 8–11, 2019, Proceedings, Part IV. Lecture Notes in Computer Science, vol. 11743, Lecture Notes in Artificial Intelligence, vol. 11743, Springer, pp. 211-220, 12th International Conference on Intelligent Robotics and Applications, Shenyang, China, 8/08/19. https://doi.org/10.1007/978-3-030-27538-9_18

FES proportional tuning based on sEMG. / Zhou, Yu; Zeng, Jia; Li, Kairu et al.
Intelligent Robotics and Applications: 12th International Conference, ICIRA 2019, Shenyang, China, August 8–11, 2019, Proceedings, Part IV. ed. / Haibin Yu; Jinguo Liu; Liaqing Liu; Zhaojie Ju; Yuwang Liu; Dalin Zhou. Springer, 2019. p. 211-220 (Lecture Notes in Computer Science; Vol. 11743), (Lecture Notes in Artificial Intelligence; Vol. 11743).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - FES proportional tuning based on sEMG

AU - Zhou, Yu

AU - Zeng, Jia

AU - Li, Kairu

AU - Liu, Honghai

PY - 2019/8/3

Y1 - 2019/8/3

N2 - 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.

AB - 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.

KW - fuunctional electrical stimulation (FES)

KW - surface electromyography (sEMG)

KW - signal processing

U2 - 10.1007/978-3-030-27538-9_18

DO - 10.1007/978-3-030-27538-9_18

M3 - Conference contribution

SN - 978-3-030-27537-2

T3 - Lecture Notes in Computer Science

SP - 211

EP - 220

BT - Intelligent Robotics and Applications

A2 - Yu, Haibin

A2 - Liu, Jinguo

A2 - Liu, Liaqing

A2 - Ju, Zhaojie

A2 - Liu, Yuwang

A2 - Zhou, Dalin

PB - Springer

T2 - 12th International Conference on Intelligent Robotics and Applications

Y2 - 8 August 2019 through 11 August 2019

ER -

Zhou Y, Zeng J, Li K, Liu H. FES proportional tuning based on sEMG. In Yu H, Liu J, Liu L, Ju Z, Liu Y, Zhou D, editors, Intelligent Robotics and Applications: 12th International Conference, ICIRA 2019, Shenyang, China, August 8–11, 2019, Proceedings, Part IV. Springer. 2019. p. 211-220. (Lecture Notes in Computer Science). (Lecture Notes in Artificial Intelligence). doi: 10.1007/978-3-030-27538-9_18

FES proportional tuning based on sEMG

Abstract

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Keywords

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