Automatic Multichannel Electrocardiogram Record Classification Using XGBoost Fusion Model

There is an increasing demand for automatic classification of standard 12-lead electrocardiogram signals in the medical field. Considering that different channels and temporal segments of a feature map extracted from the 12-lead electrocardiogram record contribute differently to cardiac arrhythmia d...

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Bibliographic Details

Published in:	Frontiers in Physiology
Main Authors:	Xiaohong Ye, Yuanqi Huang, Qiang Lu
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2022-04-01
Subjects:	electrocardiogram (ECG) classification algorithm physiological signal processing bioengineering model fusion extreme gradient boosting (xgboost)
Online Access:	https://www.frontiersin.org/articles/10.3389/fphys.2022.840011/full