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A Deep Learning Framework for ECG Classification Based on 2D-to-1D Data Transformation Using Autoencoder and LSTM.

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Bibliographic Details
Title: A Deep Learning Framework for ECG Classification Based on 2D-to-1D Data Transformation Using Autoencoder and LSTM.
Authors: Quezada-Prospero, Enrique1, m23ce074@cenidet.tecnm.mx, Mújica-Vargas, Dante1, dante.mv@cenidet.tecnm.mx, Arenas-Muñiz, Andrés1, d22ce043@cenidet.tecnm.mx, Cruz-Prospero, Luis1, lacp@cenidet.edu.mx, Vázquez-Ramírez, Alexis1, Alexxis.97@outlook.com, de Jesús Rubio, Jose2, rubio.josedejesus@gmail.com
Source: Programming & Computer Software; Dec2025, Vol. 51 Issue 8, p925-941, 17p
Database: Applied Science & Technology Source
Description
ISSN:03617688
DOI:10.1134/S0361768825010049