Time–Frequency Transformations for Enhanced Biomedical Signal Classification with Convolutional Neural Networks

<b>Background:</b> Transforming one-dimensional (1D) biomedical signals into two-dimensional (2D) images enables the application of convolutional neural networks (CNNs) for classification tasks. In this study, we investigated the effectiveness of different 1D-to-2D transformation methods to classify...

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Bibliografiske detaljer

Principais autores:	Georgios Lekkas, Eleni Vrochidou, George A. Papakostas
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2025-01-01
Serier:	BioMedInformatics
Fag:	biomedical signal processing AI in healthcare biomedical AI electrocardiogram (ECG) classification ECGs deep learning
Online adgang:	https://www.mdpi.com/2673-7426/5/1/7
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