Classification of Sleep Patterns by Means of Markov Modeling and Correspondence Analysis

@article{Jansen1987ClassificationOS,
  title={Classification of Sleep Patterns by Means of Markov Modeling and Correspondence Analysis},
  author={Ben H. Jansen and Wei-Kang Cheng},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={1987},
  volume={PAMI-9},
  pages={707-710}
}
Shown is how correspondence analysis can be used to track changes in an individuals' sleep pattern. Correspondence analysis was applied to sleep stage transition matrices computed from all-night sleep of normal, obese, and apnoetic subjects. Differences between the groups, and intraindividual changes in sleep patterns could be visualized better than with a x2-based clustering approach. 

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper

References

Publications referenced by this paper.
SHOWING 1-5 OF 5 REFERENCES

and T

  • E. S. Gelsema, C. Queiros
  • Timmers, "The formalism of correspondence…
  • 1982
3 Excerpts

The problem of missing data

  • B. Burtschy, C. Nora
  • using the properties of factor analysis and…
  • 1977
1 Excerpt

Similar Papers

Loading similar papers…