Investigation of sEMG patterns for detection of poor trunk posture

Kevin Hung; Tsz Chung Lee; Ho Wai Leung

doi:10.1109/ICCE-China.2016.7849774

Investigation of sEMG patterns for detection of poor trunk posture

Kevin Hung, Tsz Chung Lee, Ho Wai Leung

Electronic Engineering and Computer Science

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

3 Citations (Scopus)

Abstract

Spine curvature disorders are a common health problem, and most of their causes are related to the habit of poor trunk posture. Several posture monitoring products exist in the market; however, they are expensive and do not consider the involvement and activities of muscles in the formations of postures. This paper describes our initial studies on the relationship between surface electromyography (sEMG) and trunk posture. Our experiments focused on the activities of four groups of back muscles under different conditions of postures and spine angles. The results will be used in the design of a low-cost trunk posture monitoring system for detecting poor postures, which aims to prevent spine curvature disorders and back pain.

Original language	English
Title of host publication	2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016
ISBN (Electronic)	9781509061938
DOIs	https://doi.org/10.1109/ICCE-China.2016.7849774
Publication status	Published - 9 Feb 2017
Event	2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016 - Guangzhou, China Duration: 19 Dec 2016 → 21 Dec 2016

Publication series

Name	2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016

Conference

Conference	2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016
Country/Territory	China
City	Guangzhou
Period	19/12/16 → 21/12/16

Keywords

electromyogram
spine curvature disorder
trunk posture

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10.1109/ICCE-China.2016.7849774

Cite this

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title = "Investigation of sEMG patterns for detection of poor trunk posture",

abstract = "Spine curvature disorders are a common health problem, and most of their causes are related to the habit of poor trunk posture. Several posture monitoring products exist in the market; however, they are expensive and do not consider the involvement and activities of muscles in the formations of postures. This paper describes our initial studies on the relationship between surface electromyography (sEMG) and trunk posture. Our experiments focused on the activities of four groups of back muscles under different conditions of postures and spine angles. The results will be used in the design of a low-cost trunk posture monitoring system for detecting poor postures, which aims to prevent spine curvature disorders and back pain.",

keywords = "electromyogram, spine curvature disorder, trunk posture",

author = "Kevin Hung and Lee, {Tsz Chung} and Leung, {Ho Wai}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016 ; Conference date: 19-12-2016 Through 21-12-2016",

year = "2017",

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doi = "10.1109/ICCE-China.2016.7849774",

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Hung, K , Lee, TC & Leung, HW 2017, Investigation of sEMG patterns for detection of poor trunk posture. in 2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016., 7849774, 2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016, 2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016, Guangzhou, China, 19/12/16. https://doi.org/10.1109/ICCE-China.2016.7849774

Investigation of sEMG patterns for detection of poor trunk posture. / Hung, Kevin ; Lee, Tsz Chung; Leung, Ho Wai.
2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016. 2017. 7849774 (2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016).

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

TY - GEN

T1 - Investigation of sEMG patterns for detection of poor trunk posture

AU - Hung, Kevin

AU - Lee, Tsz Chung

AU - Leung, Ho Wai

PY - 2017/2/9

Y1 - 2017/2/9

N2 - Spine curvature disorders are a common health problem, and most of their causes are related to the habit of poor trunk posture. Several posture monitoring products exist in the market; however, they are expensive and do not consider the involvement and activities of muscles in the formations of postures. This paper describes our initial studies on the relationship between surface electromyography (sEMG) and trunk posture. Our experiments focused on the activities of four groups of back muscles under different conditions of postures and spine angles. The results will be used in the design of a low-cost trunk posture monitoring system for detecting poor postures, which aims to prevent spine curvature disorders and back pain.

AB - Spine curvature disorders are a common health problem, and most of their causes are related to the habit of poor trunk posture. Several posture monitoring products exist in the market; however, they are expensive and do not consider the involvement and activities of muscles in the formations of postures. This paper describes our initial studies on the relationship between surface electromyography (sEMG) and trunk posture. Our experiments focused on the activities of four groups of back muscles under different conditions of postures and spine angles. The results will be used in the design of a low-cost trunk posture monitoring system for detecting poor postures, which aims to prevent spine curvature disorders and back pain.

KW - electromyogram

KW - spine curvature disorder

KW - trunk posture

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U2 - 10.1109/ICCE-China.2016.7849774

DO - 10.1109/ICCE-China.2016.7849774

M3 - Conference contribution

AN - SCOPUS:85015254049

T3 - 2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016

BT - 2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016

T2 - 2016 IEEE International Conference on Consumer Electronics-China, ICCE-China 2016

Y2 - 19 December 2016 through 21 December 2016

ER -

Investigation of sEMG patterns for detection of poor trunk posture

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