CLEP-GAN: an innovative approach to subject-independent ECG reconstruction from PPG signals

Abstract Background Reconstructing ECG signals from PPG measurements is a critical task for non-invasive cardiac monitoring. While several public ECG–PPG datasets exist, they lack the diversity found in image datasets, and the data collection process often introduces noise, making ECG reconstruction...

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Bibliografski detalji

Glavni autori:	Xiaoyan Li, Shixin Xu, Faisal Habib, Neda Aminnejad, Arvind Gupta, Huaxiong Huang
Format:	Artigo
Jezik:	Inglês
Izdano:	BMC 2025-11-01
Serija:	BMC Bioinformatics
Teme:	ECG reconstruction Synthetic ECG-PPG pairs Contrastive learning Vector quantization
Online pristup:	https://doi.org/10.1186/s12859-025-06276-0
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