Improving the efficacy of deep-learning models for heart beat detection on heterogeneous datasets

• Main Authors: Bizzego, Andrea, Gabrieli, Giulio, Neoh, Michelle Jin-Yee, Esposito, Gianluca
• Other Authors: School of Social Sciences
• Format: Article
• Language: English
• Published: 2021
• Subjects: Science::Biological sciences::Human anatomy and physiology; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Electrocardiogram Signals; Deep Neural Networks
• Online Access: https://hdl.handle.net/10356/153414
• Institution: Nanyang Technological University

Deep learning (DL) has greatly contributed to bioelectric signal processing, in particular to extract physiological markers. However, the efficacy and applicability of the results proposed in the literature is often constrained to the population represented by the data used to train the models. In t...