Machine Learning approach for TWA detection relying on ensemble data design.

Miriam Gutiérrez Fernández-Calvillo,Rebeca Goya-Esteban,Fernando Cruz-Roldán,Antonio Hernández-Madrid,Manuel Blanco-Velasco

Heliyon（2023）

引用 3|浏览7

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摘要

In this work, a realistic database to test the presence of TWA using ML algorithms was assembled. The ML algorithms overall outperformed the SM used as a gold standard. Learning from data to identify alternans elicits a substantial detection growth at the expense of a small increment of the false alarm.

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关键词

Cross Validation (CV),Electrocardiogram (ECG),Machine Learning (ML),Modified Moving Average Method (MMA),Repolarization,Spectral Method (SM),Time Method (TM),T–Wave Alternans (TWA)

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