Browsing Theses (Master's and Ph.D) – Computer Engineering by Subject "Electrocardiogram, convolutional neural networks, directed acyclic graph CNN, morphological feature, statistical feature, temporal features, multi-stage CNN based features, feature-level fusion, score-level fusion, decision-level fusio"

EMU I-REP

Browsing Theses (Master's and Ph.D) – Computer Engineering by Subject "Electrocardiogram, convolutional neural networks, directed acyclic graph CNN, morphological feature, statistical feature, temporal features, multi-stage CNN based features, feature-level fusion, score-level fusion, decision-level fusio"

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  • Fusion of Multi-stage CNN Features for ECG Classification 
    Golrizkhatami, Zahra (Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ), 2018-12)
    ABSTRACT: Detecting and classifying cardiac arrhythmias is critical to the diagnosis of patients with cardiac abnormalities. Identification and classification of abnormalities are time consuming because it often requires ...