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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207339/ http://dx.doi.org/10.1093/europace/euad122.622 |