HIGHLIGHTS
- who: CNN and collaborators from the HA, SJB Institute of Technology, India have published the article: DOI: 10.4018/IJSI.315659 *Corresponding Author, in the Journal: (JOURNAL)
- what: This study proposes a deep learning approach based on a convolutional neural network (CNN) architecture for the classification of cardiac arrhythmias (ARR) congestive heart failure (CHF) and normal sinus rhythm (NSR). In this article, a new ECG classification technique is developed based on combining NCA-based deep features, morphological features, DT-CWT-based features, and statistical features using PCA and normalized correlations.
- future: The quantity . . .
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