W Zhang, S Geng, S Hong - Biomedical Signal Processing and Control, 2023 - Elsevier
Learning representations from electrocardiogram (ECG) signals can serve as a fundamental step for different machine learning-based ECG tasks. In order to extract general ECG …
W Zhang, S Geng, S Hong - arXiv preprint, 2022 - researchgate.net
Learning representations from electrocardiogram (ECG) serves as a fundamental step for many downstream machine learning-based ECG analysis tasks. However, the learning …
Cardiac abnormalities are one of the leading causes of mortality and morbidity among the population. Changes in the morphology and rhythm of the cardiac signals associated with …
Y Mao, Y Li, J Han, Y Chen - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Data mining of clinical data has big feasibility for refining the quality of hospital remedy and increasing survival probability of patients. Data-driven prediction techniques rely heavily on …
Access to essential services determines individuals' ability to meet health, safety, and social needs that enable them to thrive in their daily lives. But such access is not evenly distributed …
X SONG, J HAN, H LANG, Y MAO - Computer Engineering & …, 2024 - joces.nudt.edu.cn
The morphological identification of QRS complex is a key in the detection of abnormal ECG, which acts as the basis for disease diagnosis. The existing QRS morphological recognition …
Cardiovascular diseases are the leading cause of death worldwide, claiming approximately 17.9 million lives each year. In this study, a novel CAD system to detect and classify …