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:	Shobaki, Mohammed M., Abdul Malik, Noreha, Khan, Sheroz, Nordin, Anis Nurashikin, Haider, Samnan, Khairul Azami, Sidek
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2014
Subjects:	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Online Access:	http://irep.iium.edu.my/41660/ http://irep.iium.edu.my/41660/ http://irep.iium.edu.my/41660/ 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

id	iium-41660
recordtype	eprints
spelling	iium-416602017-09-21T03:44:50Z http://irep.iium.edu.my/41660/ Posture characterization based on time and frequency domains parameters for erector spine SEMG signal Shobaki, Mohammed M. Abdul Malik, Noreha Khan, Sheroz Nordin, Anis Nurashikin Haider, Samnan Khairul Azami, Sidek TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices 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 used in this paper is selectively choosing the 20-500Hz dominant frequency range and 0.4 to 2.4 Volts in amplitude. The data on signals are transported onto a PC into Excel file for processing its FFT representative of the target posture condition. The bow condition shows four times larger in magnitude of FFT compared to that of standing condition over a similar frequency range of 50-220Hz. The utility of the conditioning circuit is justified by reducing the power frequency noise to negligible level. The utility of this research work has potential in clinical diagnostic applications. IEEE 2014 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/41660/1/41660_edited.pdf application/pdf en http://irep.iium.edu.my/41660/4/41660_Posture%20characterization%20based%20on%20time%20and%20frequency_Scopus.pdf Shobaki, Mohammed M. and Abdul Malik, Noreha and Khan, Sheroz and Nordin, Anis Nurashikin and Haider, Samnan and Khairul Azami, Sidek (2014) Posture characterization based on time and frequency domains parameters for erector spine SEMG signal. In: 5th International Conference on Computer and Communication Engineering (ICCCE 2014), 23th - 25th September 2014, Sunway Putra Hotel, Kuala Lumpur. 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 DOI 10.1109/ICCCE.2014.14
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
spellingShingle	TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Shobaki, Mohammed M. Abdul Malik, Noreha Khan, Sheroz Nordin, Anis Nurashikin Haider, Samnan Khairul Azami, Sidek Posture characterization based on time and frequency domains parameters for erector spine SEMG signal
description	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 used in this paper is selectively choosing the 20-500Hz dominant frequency range and 0.4 to 2.4 Volts in amplitude. The data on signals are transported onto a PC into Excel file for processing its FFT representative of the target posture condition. The bow condition shows four times larger in magnitude of FFT compared to that of standing condition over a similar frequency range of 50-220Hz. The utility of the conditioning circuit is justified by reducing the power frequency noise to negligible level. The utility of this research work has potential in clinical diagnostic applications.
format	Conference or Workshop Item
author	Shobaki, Mohammed M. Abdul Malik, Noreha Khan, Sheroz Nordin, Anis Nurashikin Haider, Samnan Khairul Azami, Sidek
author_facet	Shobaki, Mohammed M. Abdul Malik, Noreha Khan, Sheroz Nordin, Anis Nurashikin Haider, Samnan Khairul Azami, Sidek
author_sort	Shobaki, Mohammed M.
title	Posture characterization based on time and frequency domains parameters for erector spine SEMG signal
title_short	Posture characterization based on time and frequency domains parameters for erector spine SEMG signal
title_full	Posture characterization based on time and frequency domains parameters for erector spine SEMG signal
title_fullStr	Posture characterization based on time and frequency domains parameters for erector spine SEMG signal
title_full_unstemmed	Posture characterization based on time and frequency domains parameters for erector spine SEMG signal
title_sort	posture characterization based on time and frequency domains parameters for erector spine semg signal
publisher	IEEE
publishDate	2014
url	http://irep.iium.edu.my/41660/ http://irep.iium.edu.my/41660/ http://irep.iium.edu.my/41660/ 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
first_indexed	2023-09-18T20:59:35Z
last_indexed	2023-09-18T20:59:35Z
_version_	1777410533535776768

Posture characterization based on time and frequency domains parameters for erector spine SEMG signal

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