RT Conference Proceedings
T1 Independent component analysis of EMG for posture detection: 												Sensitivity to variation of posture properties
A1 Miljković, Nadica
A1 Bijelić, Goran
A1 Garcia, Gonzalo A.
A1 Popović, Mirjana B.
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).
SN 9781457714986
YR 2011
FD 2011
LK https://hdl.handle.net/11556/1691
UL https://hdl.handle.net/11556/1691
LA eng
NO 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 . , 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
NO conference
DS TECNALIA Publications
RD 29 sept 2024