WaSP-ECG: A Wave Segmentation Pretraining Toolkit for Electrocardiogram Analysis

WaSP-ECG: A Wave Segmentation Pretraining Toolkit for Electrocardiogram Analysis

IntroductionRepresentation learning allows artificial intelligence (AI) models to learn useful features from large, unlabelled datasets. This can reduce the need for labelled data across a range of downstream tasks. It was hypothesised that wave segmentation would be a useful form of electrocardiogr...

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Bibliographic Details
Main Authors: Rob Brisk, Raymond R. Bond, Dewar Finlay, James A. D. McLaughlin, Alicja J. Piadlo, David J. McEneaney
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Physiology
Subjects:
artificial intelligence
electrocardiogram (ECG)
machine learning
explainable AI
representation learning
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2022.760000/full

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https://www.frontiersin.org/articles/10.3389/fphys.2022.760000/full

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