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Automatic recognition of cardiac arrhythmias is important for diagnosis of cardiac abnormalities. This paper presents a new approach to classification ECG signals based on feature extraction to diagnose heartbeat irregularities. We introduce the independent component analysis (ICA) feature extraction method and propose an over-complete feature extraction method combining ICA basis function's coefficients...
This paper presents a new approach to the feature extraction for reliable heart rhythm recognition. This system of classification is comprised of three components including data preprocessing, feature extraction and classification of ECG signals. Two different feature extraction methods are applied together to obtain the feature vector of ECG data. The wavelet transform is used to extract the coefficients...
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