ECG rhythm detection
AI algorithm results
Results of AI algorithms that detect heart rhythms in ECG recordings.
Window-level AF detector: feasibility results
A 0.5 MB gradient-boosting classifier on RR-interval and beat-morphology features reaches 98.7 % sensitivity and 98.6 % specificity per 30-second sensor strip on patients never seen in training.
AFib detector v1 on 12-lead ECG
A five-class rhythm classifier reaches 0.921 F1 for atrial fibrillation on a held-out test set of 4,211 recordings.