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EB-GAME: A Game-Changer in ECG Heartbeat Anomaly Detection
April 25, 2024, 7:42 p.m. | JuneYoung Park, Da Young Kim, Yunsoo Kim, Jisu Yoo, Tae Joon Kim
cs.LG updates on arXiv.org arxiv.org
Abstract: Cardiologists use electrocardiograms (ECG) for the detection of arrhythmias. However, continuous monitoring of ECG signals to detect cardiac abnormal-ities requires significant time and human resources. As a result, several deep learning studies have been conducted in advance for the automatic detection of arrhythmia. These models show relatively high performance in supervised learning, but are not applicable in cases with few training examples. This is because abnormal ECG data is scarce compared to normal data in …
abstract advance anomaly anomaly detection arxiv continuous continuous monitoring cs.lg deep learning detection eess.sp game however human human resources monitoring resources show studies type
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