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Classification of arrhythmias using an LSTM- and GAN-based approach to ECG signal augmentation

FUNDING ACKNOWLEDGEMENTS: Type of funding sources: Private grant(s) and/or Sponsorship. Main funding source(s): British Heart Foundation INTRODUCTION: Automated classification of arrhythmias in ECGs is becoming increasingly important. Publicly available ECG datasets have been widely used by the rese...

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Detalles Bibliográficos
Autores principales: Cretu, I, Tindale, A, Abbod, M, Balachandran, W, Mason, M, Khir, A W, Meng, H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207339/
http://dx.doi.org/10.1093/europace/euad122.622