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Classification of Sleep Patterns by Means of Markov Modeling and Correspondence Analysis
May 1987 (vol. 9 no. 5)
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.
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.
Citation:
Ben H. Jansen, Wei-Kang Cheng, "Classification of Sleep Patterns by Means of Markov Modeling and Correspondence Analysis," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 9, no. 5, pp. 707-710, May 1987, doi:10.1109/TPAMI.1987.4767968
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