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ECG Diagnosis Using Decision Support Systems
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Author(s): Themis P. Exarchos (University of Ioannina, Greece), Costas Papaloukas (University of Ioannina, Greece), Markos G. Tsipouras (University of Ioannina, Greece), Yorgos Goletsis (University of Ioannina, Greece), Dimitrios I. Fotiadis (University of Ioannina, Greece, Biomedical Research Institute—FORTH, and Greece Michaelideion Cardiology Center, Greece)and Lampros K. Michalis (Michaelideion Cardiology Center, Greece, and University of Ioannina, Greece)
Copyright: 2006
Pages: 12
Source title:
Handbook of Research on Informatics in Healthcare and Biomedicine
Source Author(s)/Editor(s): Athina A. Lazakidou (University of Peloponnese, Greece)
DOI: 10.4018/978-1-59140-982-3.ch018
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Abstract
ECG is one of the most common signals used in medical practice due to its noninvasive nature and the information it contains. Several systems and various automated approaches have been developed that use computer technology to provide ECG diagnosis. These systems detect abnormalities and other features in the ECG signal and produce a decision which helps the physician when performing diagnosis. ECG decision support systems can serve as a diagnostic tool for specific cardiac anomalies such as myocardial ischaemia and arrhythmia.
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