Deep Learning for Personalized Electrocardiogram Diagnosis: A Review
The electrocardiogram (ECG) remains a fundamental tool in cardiac diagnostics, yet its
interpretation traditionally reliant on the expertise of cardiologists. The emergence of deep …
interpretation traditionally reliant on the expertise of cardiologists. The emergence of deep …
[HTML][HTML] Enhancing Inter-Patient Performance for Arrhythmia Classification with Adversarial Learning Using Beat-Score Maps
Y Jeong, J Lee, M Shin - Applied Sciences, 2024 - mdpi.com
Research on computer-aided arrhythmia classification is actively conducted, but the limited
generalization capacity constrains its applicability in practical clinical settings. One of the …
generalization capacity constrains its applicability in practical clinical settings. One of the …
Semi-Supervised Domain Adaptation for Individual Identification from Electrocardiogram Signals
When acquiring electrocardiogram (ECG) signals, the placement of electrode patches is
crucial for acquiring electrocardiographic signals. Constant displacement positions are …
crucial for acquiring electrocardiographic signals. Constant displacement positions are …