Automatic analysis of sleep using two parameters based on principal component analysis of electroencephalography spectral data.
M. JobertH. EscolaE. PoiseauP. GaillardPublished in: Biol. Cybern. (1994)
Keyphrases
- automatic analysis
- spectral data
- principal components
- principal component analysis
- sleep apnea
- parameter estimation
- maximum likelihood
- partial least squares
- independent component analysis
- proteomic data
- covariance matrix
- hyperspectral
- low dimensional
- high quality
- least squares
- dimensionality reduction
- computer vision
- linear discriminant analysis
- image analysis
- data analysis
- image processing