Automatic Multichannel Electrocardiogram Record Classification Using XGBoost Fusion Model

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
Main Authors: Xiaohong Ye, Yuanqi Huang, Qiang Lu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-04-01
Series:Frontiers in Physiology
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

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2022.840011/full

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