Software-based analysis of 1-hour Holter ECG to select for prolonged ECG monitoring after stroke.

Sonja GröschelBjörn LangeKatrin WasserMarianne HahnRolf WachterKlaus Gröschel Timo Uphaus

Published in: Annals of clinical and translational neurology (2020)

Automated software-based ECG risk stratification selects patients with high risk of AF during 72 hours Holter ECG and adds predictive value to common clinical risk factors for AF prediction.

Keyphrases

heart rate variability
heart rate
atrial fibrillation
blood pressure
machine learning
deep learning
high throughput