Analysis of Stable sEMG Features for Bilateral Upper Limb Motion

Yangbo Yu; Hongze Jiang; Yu Zhou; Honghai Liu

doi:10.1109/SMC.2018.00336

Analysis of Stable sEMG Features for Bilateral Upper Limb Motion

Yangbo Yu
, Hongze Jiang
, Yu Zhou
, Honghai Liu

Shanghai Jiao Tong University

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

1 Scopus citations

Abstract

It is evident that the objective physiology-based diagnostic methods are desired to improve the evaluation efficiency for stroke assessment, however the assessment relies mainly on the diagnosis scale and the experience of the therapists in clinic. This paper aims to evaluate the features based on sEMG from bilateral upper limb, which can be used to show the bilateral upper limb differences and to map the stroke scale. Preliminary experiments were conducted on eleven healthy subjects and some classical and innovative features were evaluated. With all the work of this paper, we anticipate that Root Mean Square (RMS), Crest Factor (CF) and Impulse Factor (I), are able to be used to evaluate stroke scale.

Original language	English
Title of host publication	Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1945-1950
Number of pages	6
ISBN (Electronic)	9781538666500
DOIs	https://doi.org/10.1109/SMC.2018.00336
State	Published - 2 Jul 2018
Externally published	Yes
Event	2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 - Miyazaki, Japan Duration: 7 Oct 2018 → 10 Oct 2018

Publication series

Name	Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

Conference

Conference	2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Country/Territory	Japan
City	Miyazaki
Period	7/10/18 → 10/10/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1109/SMC.2018.00336

Cite this

Yu, Y., Jiang, H., Zhou, Y., & Liu, H. (2018). Analysis of Stable sEMG Features for Bilateral Upper Limb Motion. In Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 (pp. 1945-1950). Article 8616332 (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC.2018.00336

Yu, Yangbo ; Jiang, Hongze ; Zhou, Yu et al. / Analysis of Stable sEMG Features for Bilateral Upper Limb Motion. Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1945-1950 (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

@inproceedings{9a42b202f5e54789b75b02460da22085,

title = "Analysis of Stable sEMG Features for Bilateral Upper Limb Motion",

abstract = "It is evident that the objective physiology-based diagnostic methods are desired to improve the evaluation efficiency for stroke assessment, however the assessment relies mainly on the diagnosis scale and the experience of the therapists in clinic. This paper aims to evaluate the features based on sEMG from bilateral upper limb, which can be used to show the bilateral upper limb differences and to map the stroke scale. Preliminary experiments were conducted on eleven healthy subjects and some classical and innovative features were evaluated. With all the work of this paper, we anticipate that Root Mean Square (RMS), Crest Factor (CF) and Impulse Factor (I), are able to be used to evaluate stroke scale.",

author = "Yangbo Yu and Hongze Jiang and Yu Zhou and Honghai Liu",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018 ; Conference date: 07-10-2018 Through 10-10-2018",

year = "2018",

month = jul,

day = "2",

doi = "10.1109/SMC.2018.00336",

language = "英语",

series = "Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1945--1950",

booktitle = "Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018",

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}

Yu, Y, Jiang, H, Zhou, Y & Liu, H 2018, Analysis of Stable sEMG Features for Bilateral Upper Limb Motion. in Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018., 8616332, Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 1945-1950, 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018, Miyazaki, Japan, 7/10/18. https://doi.org/10.1109/SMC.2018.00336

Analysis of Stable sEMG Features for Bilateral Upper Limb Motion. / Yu, Yangbo; Jiang, Hongze; Zhou, Yu et al.
Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1945-1950 8616332 (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018).

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

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AU - Liu, Honghai

PY - 2018/7/2

Y1 - 2018/7/2

N2 - It is evident that the objective physiology-based diagnostic methods are desired to improve the evaluation efficiency for stroke assessment, however the assessment relies mainly on the diagnosis scale and the experience of the therapists in clinic. This paper aims to evaluate the features based on sEMG from bilateral upper limb, which can be used to show the bilateral upper limb differences and to map the stroke scale. Preliminary experiments were conducted on eleven healthy subjects and some classical and innovative features were evaluated. With all the work of this paper, we anticipate that Root Mean Square (RMS), Crest Factor (CF) and Impulse Factor (I), are able to be used to evaluate stroke scale.

AB - It is evident that the objective physiology-based diagnostic methods are desired to improve the evaluation efficiency for stroke assessment, however the assessment relies mainly on the diagnosis scale and the experience of the therapists in clinic. This paper aims to evaluate the features based on sEMG from bilateral upper limb, which can be used to show the bilateral upper limb differences and to map the stroke scale. Preliminary experiments were conducted on eleven healthy subjects and some classical and innovative features were evaluated. With all the work of this paper, we anticipate that Root Mean Square (RMS), Crest Factor (CF) and Impulse Factor (I), are able to be used to evaluate stroke scale.

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U2 - 10.1109/SMC.2018.00336

DO - 10.1109/SMC.2018.00336

M3 - 会议稿件

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T3 - Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

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BT - Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Yu Y, Jiang H, Zhou Y, Liu H. Analysis of Stable sEMG Features for Bilateral Upper Limb Motion. In Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1945-1950. 8616332. (Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018). doi: 10.1109/SMC.2018.00336

Analysis of Stable sEMG Features for Bilateral Upper Limb Motion

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