Symptom-driven electrocardiogram (ECG) recording plays a significant role in the detection of post-ablation atrial fibrillation recurrence (AFR). However, making timely medical contact whenever symptoms occur may not be practical. The authors of an article published in Cardiovascular Innovations and Applications deployed a deep learning (DL)-based handheld device to facilitate symptom-driven monitoring.
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