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Prognosis of Sleep Bruxism Using Power Spectral Density Approach Applied on EEG Signal of Both EMG1-EMG2 and ECG1-ECG2 Channels.

Dakun LaiMd Belal Bin HeyatFaez Iqbal KhanYifei Zhang
Published in: IEEE Access (2019)
Keyphrases
  • eeg signals
  • power spectral density
  • signal processing
  • computer vision
  • similarity measure
  • subband
  • prediction error
  • heart rate
  • obstructive sleep apnea