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Pseudo Body Surface Potential Mapping on Human Thoracic

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 162 - Number 12
Year of Publication: 2017
Authors:
Mohamed Aouf, Amr Sharawy, Sherif A. Sami
10.5120/ijca2017913430

Mohamed Aouf, Amr Sharawy and Sherif A Sami. Pseudo Body Surface Potential Mapping on Human Thoracic. International Journal of Computer Applications 162(12):34-37, March 2017. BibTeX

@article{10.5120/ijca2017913430,
	author = {Mohamed Aouf and Amr Sharawy and Sherif A. Sami},
	title = {Pseudo Body Surface Potential Mapping on Human Thoracic},
	journal = {International Journal of Computer Applications},
	issue_date = {March 2017},
	volume = {162},
	number = {12},
	month = {Mar},
	year = {2017},
	issn = {0975-8887},
	pages = {34-37},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume162/number12/27298-2017913430},
	doi = {10.5120/ijca2017913430},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

In order to make a benefit from body surface potential mapping; this is need to measure the potential from a multi-electrode system. Spatio-temporal information represents the potential distribution over the body surface. This distribution represents the variation of the potential with respect to amplitude and time simultaneously. In this paper, The cardiac muscle state from body surface potential maps (BSPM) non-invasively is evaluated using chest electrodes for a better cardiac disease diagnosis and for enhancing the diagnostic power as compared to the standard 12-lead ECG system.

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Keywords

Filter banks-Mapping-heart peak detection