Artificial intelligence to diagnose paroxysmal supraventricular tachycardia using electrocardiography during normal sinus rhythm.

Yong-Yeon Jo Joon-Myoung Kwon Ki Hyun JeonYong-Hyeon ChoJae-Hyun ShinYoon-Ji LeeMin-Seung JungJang-Hyeon BanKyung Hee KimSoo Youn LeeJinsik ParkByung-Hee Oh

Published in: European heart journal. Digital health (2021)

The proposed DLM demonstrated a high performance in identifying PSVT during normal sinus rhythm. Thus, it can be used as a rapid, inexpensive, point-of-care means of identifying PSVT in patients.

Keyphrases

artificial intelligence
atrial fibrillation
end stage renal disease
catheter ablation
machine learning
big data
newly diagnosed
ejection fraction
deep learning
chronic kidney disease
heart rate
peritoneal dialysis
prognostic factors
patient reported outcomes
patient reported
quantum dots