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cAPM: Continual AI-assisted pace-mapping with active learning
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DOI：10.1016/j.compbiomed.2026.111882.png)
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Abstract
En 中文
• Continual learning enables AI to accumulate pace-mapping knowledge across patients. • A neural surrogate learns pacing-site-to-electrocardiogram mappings without setup. • Active learning reduces the pacing sites needed to localize ventricular tachycardia. • Knowledge transfer works across heart geometries and different tissue conditions. • The proposed method localizes within 5 mm in 82% of cases using 4.5 pacing sites.
Keywords:
Ventricular tachycardia
Active learning
Meta-learning
Pace-mapping
Localization
Electrocardiogram
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