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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, Greece, and Michaelideion Cardiology Center, Greece)and Lampros K. Michalis (Michaelideion Cardiology Center, Greece, and University of Ioannina, Greece)
Copyright: 2008
Pages: 11
Source title:
Intelligent Information Technologies: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Vijayan Sugumaran (Oakland University, Rochester, USA)
DOI: 10.4018/978-1-59904-941-0.ch044
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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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