Classification of Cardiovascular Disease from ECG using Artificial Neural Network and Hidden Markov Model.
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 3
Abstract
Abstract: this paper deals with the classification of cardiovascular disease for its future analysis. If future progression of the disease can be predicted earlier with proper change in medication patients treatment can be improved. Artificial neural network (ANN) is used as classifier with wavelet transform as the feature extraction for reducing data set of ECG. Hidden markov model (HMM) is used as predictor along with artificial neural network (ANN). ECG samples are collected for testing from MIT_BIH database. MATLAB 2010b is used as the simulation tool for modeling and testing. The result obtain with Artificial neural network (ANN) and Hidden markov model (HMM) combine are much efficient than that of ANN alone.
Authors and Affiliations
Mr. Ankit Sanghavi, , Prof. Sachin M. Bojewar
Keywords
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- EP ID EP152527
- DOI 10.9790/0661-16349298
- Views 96
- Downloads 0
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