Classification of arrhythmias using an LSTM- and GAN-based approach to ECG signal augmentation
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DOI: 10.1093/europace/euad122.622
Abstract: Abstract 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… read more here.
Keywords: classification; based approach; ecg signal; classification arrhythmias ... See more keywords