Dudik, Joshua
(2013)
Age, Sex, and Head Position Effects on Swallowing Accelerometry and Sounds.
Master's Thesis, University of Pittsburgh.
(Unpublished)
Abstract
Accelerometry (the measurement of vibrations) and auscultation (the measurement of sounds) are both noninvasive techniques that have been explored for detecting abnormalities in swallowing. The differences between these techniques and the information they capture about swallowing have not previously been explored in a direct comparison. In this study, we investigated the differences between dual-axis swallowing accelerometry and swallowing sounds by recording data from adult participants and calculating a number of time and frequency domain features. During the experiment, 55 participants (ages 18-65) were asked to complete five saliva swallows with a neutral head position and then five saliva swallows in a 'chin-tuck' position. The resulting data was processed by previously designed techniques utilizing wavelet denoising, spline filtering, and fuzzy means segmentation. The pre-processed signals were then used to calculate nine time, frequency, and time-frequency domain features for each independent signal. In addition to finding a number of features that varied with the participant's age, sex, and head position, our statistical analysis determined that the majority of our chosen features were significantly different for different transducers. We conclude that swallowing accelerometry and swallowing sounds provide different information about deglutition despite utilizing similar transduction methods.
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Details
Item Type: |
University of Pittsburgh ETD
|
Status: |
Unpublished |
Creators/Authors: |
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ETD Committee: |
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Date: |
26 June 2013 |
Date Type: |
Publication |
Defense Date: |
28 March 2013 |
Approval Date: |
26 June 2013 |
Submission Date: |
2 April 2013 |
Access Restriction: |
5 year -- Restrict access to University of Pittsburgh for a period of 5 years. |
Number of Pages: |
51 |
Institution: |
University of Pittsburgh |
Schools and Programs: |
Swanson School of Engineering > Bioengineering |
Degree: |
MS - Master of Science |
Thesis Type: |
Master's Thesis |
Refereed: |
Yes |
Uncontrolled Keywords: |
Swallowing accelerometry signals, swallowing sounds, saliva swallows, signal characteristics |
Date Deposited: |
26 Jun 2013 20:17 |
Last Modified: |
26 Jun 2018 05:15 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/18048 |
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