• Mathematics, Medicine, Computer Science
  • Published in Biological Cybernetics 1994
  • DOI:10.1007/BF00202759

Automatic analysis of sleep using two parameters based on principal component analysis of electroencephalography spectral data

@article{Jobert1994AutomaticAO,
  title={Automatic analysis of sleep using two parameters based on principal component analysis of electroencephalography spectral data},
  author={M. Jobert and H. Escola and E. Poiseau and P. Gaillard},
  journal={Biological Cybernetics},
  year={1994},
  volume={71},
  pages={197-207}
}
A computer program for the analysis of a sleep electroencephalogram (EEG) is presented. The method relies on two steps. First, a spectral analysis is performed for signals recorded from one or more electrode locations. Then, two EEG parameters are obtained by storing the spectral activity in a multidimensional space, whose dimension is reduced using principal component analysis (PCA) techniques. The main advantage of these parameters is in describing the process of sleep on a continuous scale… CONTINUE READING

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