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A systematic investigation of detectors for low signal-to-noise ratio EMG signals.

Monisha YuvarajPriyanka RajaAnn DavidEtienne BurdetVaradhan SkmSivakumar Balasubramanian
Published in: F1000Research (2024)
Overall, the Modified Hodges, Gaussian and Laplacian Approximate Generalized Likelihood Ratio, and the Fuzzy Entropy detectors were identified as the potential candidates that warrant further investigation with real surface EMG data since they had consistent detection performance on low SNR EMG data.
Keyphrases
  • high density
  • electronic health record
  • big data
  • upper limb
  • air pollution
  • machine learning
  • risk assessment
  • real time pcr
  • artificial intelligence
  • climate change