April 16, 2024, 4:44 a.m. | Shuaicong Hu, Yanan Wang, Jian Liu, Jingyu Lin, Shengmei Qin, Zhenning Nie, Zhifeng Yao, Wenjie Cai, Cuiwei Yang

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.09729v1 Announce Type: cross
Abstract: Considering the variability of amplitude and phase patterns in electrocardiogram (ECG) signals due to cardiac activity and individual differences, existing entropy-based studies have not fully utilized these two patterns and lack integration. To address this gap, this paper proposes a novel fusion entropy metric, morphological ECG entropy (MEE) for the first time, specifically designed for ECG morphology, to comprehensively describe the fusion of amplitude and phase patterns. MEE is computed based on beat-level samples, enabling …

amplitude analysis arxiv cs.it cs.lg eess.sp fusion math.it stat.me type

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