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Materials-driven soft wearable bioelectronics for connected healthcare
In the era of Internet-of-things, many things can stay connected; however, biological
systems, including those necessary for human health, remain unable to stay connected to …
systems, including those necessary for human health, remain unable to stay connected to …
[HTML][HTML] Deep learning in physiological signal data: A survey
Deep Learning (DL), a successful promising approach for discriminative and generative
tasks, has recently proved its high potential in 2D medical imaging analysis; however …
tasks, has recently proved its high potential in 2D medical imaging analysis; however …
Review of ECG detection and classification based on deep learning: Coherent taxonomy, motivation, open challenges and recommendations
An electrocardiogram (ECG) is one of the most promising approaches used for the detection
and classification of cardiovascular diseases (CVDs) in recent years. This work reviewed …
and classification of cardiovascular diseases (CVDs) in recent years. This work reviewed …
[HTML][HTML] Automatic ECG quality assessment techniques: A systematic review
Cardiovascular diseases are the leading cause of death, globally. Stroke and heart attacks
account for more than 80% of cardiovascular disease-related deaths. To prevent patient …
account for more than 80% of cardiovascular disease-related deaths. To prevent patient …
Applications of machine learning in ambulatory ECG
J Xue, L Yu - Hearts, 2021 - mdpi.com
Simple Summary The ambulatory ECG (AECG) is an important diagnostic tool for many
heart electrophysiology-related cases. This review covers some key Ambulatory ECG …
heart electrophysiology-related cases. This review covers some key Ambulatory ECG …