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Xing, Jin Thesis.pdf (1.19 MB)

ETD Abstract Container

Abstract Header

AN UNSUPERVISED METHOD FOR WAKE/SLEEP SCORING

Xing, Jin
http://rave.ohiolink.edu/etdc/view?acc_num=case1385481103

Abstract Details

2014, Master of Sciences, Case Western Reserve University, EECS - Electrical Engineering.
Visual sleep scoring of Polysomnograms (PSG) by an expert is a time-consuming process. Although a number of automatic sleep scoring methods have been proposed in literature, most of them are based on supervised algorithms, that is, labels in their training data assigned by an expert are required. In this thesis, we propose an unsupervised method for wake/sleep scoring without labels a priori. Features based on temporal and spectral analysis are extracted from a single channel of EEG. Principal Component Analysis (PCA) is used to reduce the number of features while identifying patterns in the data. The Gustafson–Kessel algorithm is used for clustering analysis and sleep scoring is done by retrieving one characteristic feature of wake: the alpha rhythm. Sixteen subjects from the MIT-BIH Polysomnographic Database were tested by this method. Compared to actual stage scoring, 14 have scoring accuracy above 75% and the average accuracy is 79.35%.
Kenneth Loparo (Committee Chair)
Vira Chankong (Committee Member)
Marc Buchner (Committee Member)
Electrical Engineering

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Citations

  • Xing, J. (2014). AN UNSUPERVISED METHOD FOR WAKE/SLEEP SCORING [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1385481103

    APA Style (7th edition)

  • Xing, Jin. AN UNSUPERVISED METHOD FOR WAKE/SLEEP SCORING. 2014. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1385481103.

    MLA Style (8th edition)

  • Xing, Jin. "AN UNSUPERVISED METHOD FOR WAKE/SLEEP SCORING." Master's thesis, Case Western Reserve University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1385481103

    Chicago Manual of Style (17th edition)

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This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.