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- W1563143075 abstract "In this paper we propose a method for the classification of the ECG signal. This method is based on the use of the ergodic Markov model. The data used was obtained from the MIT-BIH arrhythmia database for two categories. Each beat is isolated and its discrete wavelet transform is calculated and the vectorial quantization is applied. The parameters of the Markov model are computed for different number of states. The results presented are discussed" @default.
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- W1563143075 date "2006-10-24" @default.
- W1563143075 modified "2023-09-24" @default.
- W1563143075 title "An approach for ECG classification using wavelets and Markov Model" @default.
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- W1563143075 doi "https://doi.org/10.1109/ictta.2006.1684681" @default.
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