Tag
afib
The algorithm: a window-level AF detector for 30-second single-lead ECG
How the detector works, from the cardiac cycle to the strip decision: the signal, the beat measurements it reuses, the rhythm features it computes, the model, the safeguards, and what the data shows.
Results by lead
F1 for AFib when the model sees one lead at a time.
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.