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Entropy and Fractal Dimension of Swallow Acceleration Signals

Paxitzis, James T., Jr.
http://rave.ohiolink.edu/etdc/view?acc_num=akron1313410479

Abstract Details

2011, Master of Science, University of Akron, Biomedical Engineering.
Dysphagia (swallowing disorder) can lead to a variety of complications including aspiration and choking. Current modalities used in the diagnosis include clinical bedside evaluation and videofluorography examination. Videofluorography exposes the patient to harmful radiation and cannot be performed on a daily basis. Clinical bedside evaluation does not offer a quantitative characterization of dysphagia. Reddy et al. [6, 7] have developed noninvasive techniques for quantitative assessment of dysphagia by measuring acceleration signals during laryngeal elevation using an ultraminiature accelerometer placed on the skin over the thyroid cartilage. In normal subjects, a characteristic acceleration pattern was observed. The signal was either distorted or completely absent in dysphagic signals. However, the parameters like magnitude, mean power of the signal used by Reddy et al [6, 7] to characterize dysphagia, do not provide any information about the complexity of the signal. The question remains if entropy and fractal dimension of the signal (parameters of complexity) are different in dysphagic swallowing when compared to normal swallowing. Swallowing signals from two groups of subjects (normal and dysphagic subjects) were derived from a previous study in our Laboratory [13]. The signal was bandpass filtered from 30 to 300 Hz. Entropy of signal was calculated for various bin sizes. The signal was normalized in time and amplitude to obtain a completely non-dimensional signal [13]. Fractal dimension was then computed statistical analysis revealed that entropy and fractal dimension of swallow acceleration signals were significantly different in normal subjects when compared to signals acquired from dysphagic subjects. An exponential increase in entropy was observed as bin size increased. The relationship between entropy and bin size was different in dysphagic subjects when compared to normal subjects. Entropy together with fractal dimension of swallow acceleration signals can be a useful tool in the quantitative assessment of swallowing.
Narrender Reddy, Dr. (Advisor)
Bruce Taylor, Dr. (Committee Member)
Dale Mugler, Dr. (Committee Member)
82 p.
Biomedical Engineering
dysphagia; fractal dimension; entropy; accelerationengjtp

Recommended Citations

Citations

  • Paxitzis, Jr., J. T. (2011). Entropy and Fractal Dimension of Swallow Acceleration Signals [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1313410479

    APA Style (7th edition)

  • Paxitzis, Jr., James. Entropy and Fractal Dimension of Swallow Acceleration Signals. 2011. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1313410479.

    MLA Style (8th edition)

  • Paxitzis, Jr., James. "Entropy and Fractal Dimension of Swallow Acceleration Signals." Master's thesis, University of Akron, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=akron1313410479

    Chicago Manual of Style (17th edition)

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© 2011, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.