Independent component analysis of EMG for posture detection: Sensitivity to variation of posture properties

Nadica Miljković; Goran Bijelić; Gonzalo A. Garcia; Mirjana B. Popović

doi:10.1109/TELFOR.2011.6143889

Independent component analysis of EMG for posture detection: Sensitivity to variation of posture properties

Nadica Miljković, Goran Bijelić, Gonzalo A. Garcia, Mirjana B. Popović

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

3 Citations (Scopus)

Abstract

We applied Agglomerative Hierarchical Clustering (AHC) technique on independent components of low back surface electromyography (sEMG) signals, in order to differ sitting and standing postures. Preliminary results from small group of healthy subjects, suggested that presented method might be used to distinguish between two postures in different conditions. Clustering accuracy varied from 60% to 70% due to variation of position properties, even when the muscle activity was very low: from 11% to 23% of Maximal Voluntary Contraction (MVC).

Original language	English
Title of host publication	2011 19th Telecommunications Forum, TELFOR 2011 - Proceedings of Papers
Pages	47-50
Number of pages	4
DOIs	https://doi.org/10.1109/TELFOR.2011.6143889
Publication status	Published - 2011
Event	2011 19th Telecommunications Forum, TELFOR 2011 - Belgrade, Serbia Duration: 22 Nov 2011 → 24 Nov 2011

Publication series

Name	2011 19th Telecommunications Forum, TELFOR 2011 - Proceedings of Papers

Conference

Conference	2011 19th Telecommunications Forum, TELFOR 2011
Country/Territory	Serbia
City	Belgrade
Period	22/11/11 → 24/11/11

Keywords

clustering
EMG
ICA
posture

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10.1109/TELFOR.2011.6143889

Cite this

Miljković, N., Bijelić, G., Garcia, G. A., & Popović, M. B. (2011). Independent component analysis of EMG for posture detection: Sensitivity to variation of posture properties. In 2011 19th Telecommunications Forum, TELFOR 2011 - Proceedings of Papers (pp. 47-50). Article 6143889 (2011 19th Telecommunications Forum, TELFOR 2011 - Proceedings of Papers). https://doi.org/10.1109/TELFOR.2011.6143889

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title = "Independent component analysis of EMG for posture detection: Sensitivity to variation of posture properties",

abstract = "We applied Agglomerative Hierarchical Clustering (AHC) technique on independent components of low back surface electromyography (sEMG) signals, in order to differ sitting and standing postures. Preliminary results from small group of healthy subjects, suggested that presented method might be used to distinguish between two postures in different conditions. Clustering accuracy varied from 60% to 70% due to variation of position properties, even when the muscle activity was very low: from 11% to 23% of Maximal Voluntary Contraction (MVC).",

keywords = "clustering, EMG, ICA, posture",

author = "Nadica Miljkovi{\'c} and Goran Bijeli{\'c} and Garcia, {Gonzalo A.} and Popovi{\'c}, {Mirjana B.}",

year = "2011",

doi = "10.1109/TELFOR.2011.6143889",

language = "English",

isbn = "9781457714986",

series = "2011 19th Telecommunications Forum, TELFOR 2011 - Proceedings of Papers",

pages = "47--50",

booktitle = "2011 19th Telecommunications Forum, TELFOR 2011 - Proceedings of Papers",

note = "2011 19th Telecommunications Forum, TELFOR 2011 ; Conference date: 22-11-2011 Through 24-11-2011",

}

Miljković, N, Bijelić, G, Garcia, GA & Popović, MB 2011, Independent component analysis of EMG for posture detection: Sensitivity to variation of posture properties. in 2011 19th Telecommunications Forum, TELFOR 2011 - Proceedings of Papers., 6143889, 2011 19th Telecommunications Forum, TELFOR 2011 - Proceedings of Papers, pp. 47-50, 2011 19th Telecommunications Forum, TELFOR 2011, Belgrade, Serbia, 22/11/11. https://doi.org/10.1109/TELFOR.2011.6143889

Independent component analysis of EMG for posture detection: Sensitivity to variation of posture properties. / Miljković, Nadica; Bijelić, Goran; Garcia, Gonzalo A. et al.
2011 19th Telecommunications Forum, TELFOR 2011 - Proceedings of Papers. 2011. p. 47-50 6143889 (2011 19th Telecommunications Forum, TELFOR 2011 - Proceedings of Papers).

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

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T1 - Independent component analysis of EMG for posture detection

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PY - 2011

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N2 - We applied Agglomerative Hierarchical Clustering (AHC) technique on independent components of low back surface electromyography (sEMG) signals, in order to differ sitting and standing postures. Preliminary results from small group of healthy subjects, suggested that presented method might be used to distinguish between two postures in different conditions. Clustering accuracy varied from 60% to 70% due to variation of position properties, even when the muscle activity was very low: from 11% to 23% of Maximal Voluntary Contraction (MVC).

AB - We applied Agglomerative Hierarchical Clustering (AHC) technique on independent components of low back surface electromyography (sEMG) signals, in order to differ sitting and standing postures. Preliminary results from small group of healthy subjects, suggested that presented method might be used to distinguish between two postures in different conditions. Clustering accuracy varied from 60% to 70% due to variation of position properties, even when the muscle activity was very low: from 11% to 23% of Maximal Voluntary Contraction (MVC).

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T3 - 2011 19th Telecommunications Forum, TELFOR 2011 - Proceedings of Papers

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BT - 2011 19th Telecommunications Forum, TELFOR 2011 - Proceedings of Papers

Y2 - 22 November 2011 through 24 November 2011

ER -

Independent component analysis of EMG for posture detection: Sensitivity to variation of posture properties

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