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Signal Processing Algorithms for Analysis of Categorical and Numerical Time Series: Application to Sleep Study Data

Kirsch, Matthew Robert
http://rave.ohiolink.edu/etdc/view?acc_num=case1278606480

Abstract Details

2010, Master of Sciences (Engineering), Case Western Reserve University, EECS - Electrical Engineering.
In this thesis, novel entropy-based measures are developed to quantify the fragmentation of an individual categorical time series and the coupling strength of two categorical time series. Existing entropy-based measures are also shown to be well suited for the same task. These measures are applied to the analysis of categorical time series derived from sleep study data. Specifically, fragmentation of the hypnogram categorical time series of sleep stages, fragmentation of the breathing categorical time series of oxygen desaturation events, and coupling between the hypnogram and breathing categorical time series is quantified and the relationship between these measures and the diagnostic outcomes of hypertension and obstructive sleep apnea is investigated. Additionally, electroencephalogram (EEG) activity during sleep is explored by analyzing the distribution of power in various frequency bands throughout the night using summary statistics and a histogram entropy measure computed using the maximum-entropy histogram binning procedure developed in this thesis.
Kenneth Loparo, PhD (Advisor)
Susan Redline, MD, MPH (Committee Member)
Reena Mehra, MD, MS (Committee Member)
172 p.
Biomedical Research; Engineering
categorical time series; signal processing; spectral entropy; conditional entropy; histogram entropy; sleep dynamics; sleep fragmentation

Recommended Citations

Citations

  • Kirsch, M. R. (2010). Signal Processing Algorithms for Analysis of Categorical and Numerical Time Series: Application to Sleep Study Data [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1278606480

    APA Style (7th edition)

  • Kirsch, Matthew. Signal Processing Algorithms for Analysis of Categorical and Numerical Time Series: Application to Sleep Study Data. 2010. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1278606480.

    MLA Style (8th edition)

  • Kirsch, Matthew. "Signal Processing Algorithms for Analysis of Categorical and Numerical Time Series: Application to Sleep Study Data." Master's thesis, Case Western Reserve University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=case1278606480

    Chicago Manual of Style (17th edition)

case1278606480
714
© 2010, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.