Intelligent Arrhythmia Detection and Classification Using ICA

In this paper a novel approach for cardiac arrhythmias detection is proposed. The proposed method is based on using independent component analysis (ICA) and wavelet transform to extract important features. Using the extracted features different machine learning classification schemas, MLP and RBF ne...

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Veröffentlicht in:	2006 International Conference of the IEEE Engineering in Medicine and Biology Society 2006, Vol.2006, p.2163-2166
Hauptverfasser:	Azemi, A., Sabzevari, V.R., Khademi, M., Gholizade, H., Kiani, A., Dastgheib, Z.S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Arrhythmias, Cardiac - diagnosis Arrhythmias, Cardiac - physiopathology Artificial Intelligence Diagnosis, Computer-Assisted - methods Electrocardiography - methods Feature extraction Heart Rate Humans Independent component analysis Learning systems Machine learning Machine learning algorithms Multi-layer neural network Neural networks Pattern Recognition, Automated - methods Principal Component Analysis Reproducibility of Results Sensitivity and Specificity Spatial databases Wavelet analysis Wavelet transforms
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