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osu1293737259.pdf (1.12 MB)
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Robust Heart Rate Variability Analysis using Gaussian Process Regression
Author Info
Shah, Siddharth S.
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1293737259
Abstract Details
Year and Degree
2011, Master of Science, Ohio State University, Electrical and Computer Engineering.
Abstract
Heart rate variability (HRV) is a non-invasive way of measuring autonomic nervous system dynamics as influenced by one's emotional state. By studying beat to beat variations, the dynamic process regarding homeostasis can be studied. Quantication of HRV in frequency domain has traditionally been done in two ways: rstly, interpolating the unevenly sampled inter-beat intervals to a xed number of samples followed by applying Fast Fourier Transform and secondly by using Lomb's periodogram. In this thesis, a dierent approach is presented. Gaussian Process Regression (GPR) is used in order to interpolate the inter-beat intervals (training data set) to get a mean and variance bound, thus quantifying the time domain tachogram. This tachogram is then used as input to a FFT in order to characterize the frequency domain of HRV. The quantication of HRV using Gaussian Process Regression and Lomb's Periodogram is compared in lossy data conditions and in the presence of motion artifacts. The results show that GPR based FFT technique is less susceptible to outliers than lomb's periodogram. The eect of outliers and techniques for their removal are discussed for GPR based processing.
Committee
Emre Ertin (Advisor)
Lee Potter (Committee Member)
Pages
69 p.
Subject Headings
Electrical Engineering
Keywords
Heart Rate Variability
;
Gaussian Process Regression
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Citations
Shah, S. S. (2011).
Robust Heart Rate Variability Analysis using Gaussian Process Regression
[Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1293737259
APA Style (7th edition)
Shah, Siddharth.
Robust Heart Rate Variability Analysis using Gaussian Process Regression.
2011. Ohio State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=osu1293737259.
MLA Style (8th edition)
Shah, Siddharth. "Robust Heart Rate Variability Analysis using Gaussian Process Regression." Master's thesis, Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1293737259
Chicago Manual of Style (17th edition)
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Document number:
osu1293737259
Download Count:
2,270
Copyright Info
© 2011, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.