Artificial intelligence for detecting electrolyte imbalance using electrocardiography.

Joon-Myoung KwonMin-Seung JungKyung-Hee KimYong-Yeon JoJae-Hyun ShinYong-Hyeon ChoYoon-Ji LeeJang-Hyeon BanKi-Hyun JeonSoo Youn LeeJinsik ParkByung-Hee Oh

Published in: Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc (2021)

The proposed DLM demonstrated high performance in detecting electrolyte imbalance. These results suggest that a DLM can be used for detecting and monitoring electrolyte imbalance using ECG on a daily basis.

Keyphrases

artificial intelligence
ionic liquid
machine learning
ion batteries
big data
deep learning
solid state
heart rate variability