Share Email Print

Proceedings Paper

Understanding differences between healthy swallows and penetration-aspiration swallows via compressive sensing of tri-axial swallowing accelerometry signals
Author(s): Ervin Sejdić; Joshua M. Dudik; Atsuko Kurosu; Iva Jestrović; James L. Coyle
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Swallowing accelerometry is a promising tool for non-invasive assessment of swallowing difficulties. A recent contribution showed that swallowing accelerometry signals for healthy swallows and swallows indicating laryn- geal penetration or tracheal aspiration have different time-frequency structures, which may be problematic for compressive sensing schemes based on time-frequency dictionaries. In this paper, we examined the effects of dif- ferent swallows on the accuracy of a compressive sensing scheme based on modulated discrete prolate spheroidal sequences. We utilized tri-axial swallowing accelerometry signals recorded from four patients during routinely schedule videofluoroscopy exams. In particular, we considered 77 swallows approximately equally distributed between healthy swallows and swallows presenting with some penetration/aspiration. Our results indicated that the swallow type does not affect the accuracy of a considered compressive sensing scheme. Also, the results con- firmed previous findings that each individual axis contributes different information. Our findings are important for further developments of a device which is to be used for long-term monitoring of swallowing difficulties.

Paper Details

Date Published: 23 May 2014
PDF: 6 pages
Proc. SPIE 9109, Compressive Sensing III, 91090M (23 May 2014); doi: 10.1117/12.2050356
Show Author Affiliations
Ervin Sejdić, Univ. of Pittsburgh (United States)
Joshua M. Dudik, Univ. of Pittsburgh (United States)
Atsuko Kurosu, Univ. of Pittsburgh (United States)
Iva Jestrović, Univ. of Pittsburgh (United States)
James L. Coyle, Univ. of Pittsburgh (United States)

Published in SPIE Proceedings Vol. 9109:
Compressive Sensing III
Fauzia Ahmad, Editor(s)

© SPIE. Terms of Use
Back to Top