Detection Of Myocardial Ischemia In ECG Signals Using Support Vector Machine
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 3
Abstract
This paper presents an intellectual diagnosis system using rule based evaluvation of myocardial ischemia in electrocardiogram (ECG) signals using wavelet transform. This method is mainly through the computation of an indicator related to the area covered by the ST-wave curve. The algorithm is healthy to acquisition noise, to wave form morphological variations and to baseline wandering. To find the main computation has been implemented to simple finite impulse response filter. The inclusion of rule based system in the complex investigating algorithms yields very interesting recognition and classification of biomedical engineering. The results give importance to that the proposed model illustrates potential advantage to identify the myocardial Ischemia. The sensitivity 93.01% and positive predictivity of 97.19 is achieved.
Authors and Affiliations
Dr. S. Sumathi , Mrs. V. Agalya
Keywords
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