Login / Signup

End-to-end convolutional neural network enables COVID-19 detection from breath and cough audio: a pilot study.

Harry CoppockAlex GaskellPanagiotis TzirakisAlice BairdLyn JonesBjörn Schuller
Published in: BMJ innovations (2021)
This study offers a proof of concept for diagnosing COVID-19 using cough and breath audio signals and motivates a comprehensive follow-up research study on a wider data sample, given the evident advantages of a low-cost, highly scalable digital COVID-19 diagnostic tool.
Keyphrases
  • coronavirus disease
  • sars cov
  • convolutional neural network
  • low cost
  • deep learning
  • big data
  • artificial intelligence
  • loop mediated isothermal amplification