Volume : III, Issue : V, May - 2014
Rule Based Evaluation of Myocardial Ischemia in Ecg Signals Using Wavelet Transform
Dr. S. Sumathi, K. Yasodha, P. Sheela
Abstract :
This paper approaches 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 capabilities across a oad spectrum of biomedical engineering. The results give importance to that the proposed model illustrates potential advantage to identify the myocardial Ischemia. The sensitivity 90.01% and positive predictivity of 95.19 is achieved.
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DOI : 10.36106/ijsr
Cite This Article:
Dr. S. Sumathi, K. Yasodha, P. Sheela Rule Based Evaluation of Myocardial Ischemia in Ecg Signals Using Wavelet Transform International Journal of Scientific Research, Vol.III, Issue. V, May 2014
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Dr. S. Sumathi, K. Yasodha, P. Sheela Rule Based Evaluation of Myocardial Ischemia in Ecg Signals Using Wavelet Transform International Journal of Scientific Research, Vol.III, Issue. V, May 2014
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