Temporal and spatial self supervised learning methods for electrocardiograms

Temporal and spatial self supervised learning methods for electrocardiograms

Abstract The limited availability of labeled ECG data restricts the application of supervised deep learning methods in ECG detection. Although existing self-supervised learning approaches have been applied to ECG analysis, they are predominantly image-based, which limits their effectiveness. To addr...

Full description

Saved in:
Bibliographic Details
Main Authors: Wenping Chen, Huibin Wang, Lili Zhang, Min Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Deep learning
Self-supervised learning
Electrocardiogram
Representation extraction
Online Access:https://doi.org/10.1038/s41598-025-90084-2
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-90084-2

Similar Items