Automatic Detection of Sleep Apnea Using Sub-Band Features from EEG Signals.
Ritika GuptaTehreem Fatima ZaidiOmar FarooqPublished in: ICSPIS (2020)
Keyphrases
- automatic detection
- eeg signals
- subband
- feature vectors
- obstructive sleep apnea
- extracted features
- sleep apnea
- feature extraction
- discrete wavelet transform
- automatically detecting
- multiresolution
- high frequency
- wavelet coefficients
- filter bank
- feature set
- high quality
- frequency domain
- image compression
- wavelet decomposition
- wavelet transform
- image features
- low frequency
- brain computer interface
- low pass
- computational complexity