Automated ECG Diagnosis

  • Dr . R . D . Kharadkar
  • Published 2012

Abstract

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

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Cite this paper

@inproceedings{Kharadkar2012AutomatedED, title={Automated ECG Diagnosis}, author={Dr . R . D . Kharadkar}, year={2012} }