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Issue No. 05 - May (1987 vol. 9)
ISSN: 0162-8828
pp: 707-710
Ben H. Jansen , Department of Electrical Engineering, University of Houston-University Park, Houston, TX 77004.
Wei-Kang Cheng , Department of Electrical Engineering, University of Houston-University Park, Houston, TX 77004.
ABSTRACT
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.
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CITATION

W. Cheng and B. H. Jansen, "Classification of Sleep Patterns by Means of Markov Modeling and Correspondence Analysis," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 9, no. , pp. 707-710, 1987.
doi:10.1109/TPAMI.1987.4767968
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