Development of QT dispersion algorithm as an automatic predictor of sudden cardiac death

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Bibliographic Details
Main Author:	Krishnan, Malarvili Bala
Format:	Thesis
Published:	2004
Subjects:	QP Physiology
Online Access:	http://eprints.utm.my/id/eprint/42367/
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Institution:	Universiti Teknologi Malaysia

id	my.utm.42367
record_format	eprints
spelling	my.utm.423672014-11-02T02:37:36Z http://eprints.utm.my/id/eprint/42367/ Development of QT dispersion algorithm as an automatic predictor of sudden cardiac death Krishnan, Malarvili Bala QP Physiology 2004 Thesis NonPeerReviewed Krishnan, Malarvili Bala (2004) Development of QT dispersion algorithm as an automatic predictor of sudden cardiac death. Masters thesis, Universiti Teknologi Malaysia, Faculty of Electrical Engineering.
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	QP Physiology
spellingShingle	QP Physiology Krishnan, Malarvili Bala Development of QT dispersion algorithm as an automatic predictor of sudden cardiac death
format	Thesis
author	Krishnan, Malarvili Bala
author_facet	Krishnan, Malarvili Bala
author_sort	Krishnan, Malarvili Bala
title	Development of QT dispersion algorithm as an automatic predictor of sudden cardiac death
title_short	Development of QT dispersion algorithm as an automatic predictor of sudden cardiac death
title_full	Development of QT dispersion algorithm as an automatic predictor of sudden cardiac death
title_fullStr	Development of QT dispersion algorithm as an automatic predictor of sudden cardiac death
title_full_unstemmed	Development of QT dispersion algorithm as an automatic predictor of sudden cardiac death
title_sort	development of qt dispersion algorithm as an automatic predictor of sudden cardiac death
publishDate	2004
url	http://eprints.utm.my/id/eprint/42367/
_version_	1643650874779631616

Development of QT dispersion algorithm as an automatic predictor of sudden cardiac death

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