Posture characterization based on time and frequency domains parameters for erector spine SEMG signal
This work is based on obtaining surface EMG signals from lower back muscles using a data logger by Pico Log technology. The electrodes used are Ag/AgCl and applied after a clean surface washing by alcohol of erector spine muscle for a subject under two posture conditions. The conditioning circuit us...
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| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/41660/1/41660_edited.pdf http://irep.iium.edu.my/41660/4/41660_Posture%20characterization%20based%20on%20time%20and%20frequency_Scopus.pdf http://irep.iium.edu.my/41660/ http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7031585&queryText%3DPosture+characterization+based+on+time+and+frequency+domains+parameters+for+erector+spine+SEMG+signal |
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Internet
http://irep.iium.edu.my/41660/1/41660_edited.pdfhttp://irep.iium.edu.my/41660/4/41660_Posture%20characterization%20based%20on%20time%20and%20frequency_Scopus.pdf
http://irep.iium.edu.my/41660/
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=7031585&queryText%3DPosture+characterization+based+on+time+and+frequency+domains+parameters+for+erector+spine+SEMG+signal