Myocardial ischemia & other cardiac disorder diagnosis using long duration electrocardiographic recordings is a simple and non-invasive method that needs further development in order be used in the everyday medical practice. Several techniques that automate ischemia& other cardiac detection have been proposed during the last decade which are under evaluation. They are based on different methodological approaches, which include digital signal analysis, rule-based techniques, fuzzy logic methods and artificial neural networks, with each one of them exhibiting its own advantages and disadvantages. Most recent systems employ hybrid system (combination of ANN & Fuzzy logy) to perform diagnosis since they have demonstrated great consistency in producing accurate results. The performance of the developed detection systems is very promising but they need further evaluation
CITATION STYLE
D.E., U. (2012). Automated ECG Diagnosis. IOSR Journal of Engineering, 02(05), 1265–1269. https://doi.org/10.9790/3021-020512651269
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