Improving Sleep Stage Estimation Accuracy by Circadian Rhythm Extracted from a Low Frequency Component of Heart Rate.
Akari TobaruFumito UwanoTakuya IwaseKazuma MatsumotoRyo TakanoYusuke TajimaYuta UmenaiKeiki TakadamaPublished in: AAAI Spring Symposia (2018)
Keyphrases
- estimation accuracy
- low frequency
- heart rate
- high frequency
- sleep stage
- frequency domain
- blood pressure
- wavelet transform
- heart rate variability
- subband
- prediction accuracy
- physiological signals
- vital signs
- frequency band
- physical activity
- high resolution
- sleep apnea
- estimation error
- electromagnetic fields
- high frequency components
- wavelet coefficients
- discrete wavelet transform
- original images
- similarity measure
- ecg signals
- multiresolution
- wavelet domain
- spatial domain
- remote sensing
- bit rate
- denoising
- motion estimation
- multiscale
- image processing
- low and high frequency