Artificial intelligence algorithm for predicting cardiac arrest using electrocardiography.

Joon-Myoung KwonKyung-Hee KimKi-Hyun JeonSoo Youn LeeJinsik ParkByung-Hee Oh

Published in: Scandinavian journal of trauma, resuscitation and emergency medicine (2020)

Our DLA successfully predicted cardiac arrest using diverse formats of ECG. The results indicate that cardiac arrest could be screened and predicted not only with a conventional 12-lead ECG, but also with a single-lead ECG using a wearable device that employs our DLA.

Keyphrases

cardiac arrest
artificial intelligence
cardiopulmonary resuscitation
heart rate
machine learning
deep learning
heart rate variability
big data
blood pressure