Time and time-frequency characterization of dual-axis swallowing accelerometry signals.

J Lee, C M Steele, T Chau
Author Information
  1. J Lee: Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada. joonwu.lee@utoronto.ca

Abstract

Single-axis swallowing accelerometry has shown potential as a non-invasive clinical swallowing assessment tool. Previous swallowing accelerometry research has focused exclusively on the anterior-posterior vibration detected on the surface of the neck. However, hyolaryngeal motion during pharyngeal swallowing occurs in both the anterior-posterior and superior-inferior directions, suggesting that dual-axis accelerometry may be worthy of investigation. With this motivation, the present paper provides a characterization of dual-axis swallowing accelerometry signals from healthy adults in the time and time-frequency domains. Time-domain analysis revealed that signals in the two axes exhibited different probability density functions, and minimal cross-correlation and mutual information. Time-frequency analysis highlighted inter-axis dissimilarities in the scalograms, pseudo-spectra and temporal evolution of low- and high-frequency content. Therefore, it was concluded that the two axes contain different information about swallowing and that the superior-inferior axis should be further investigated in future swallowing accelerometry studies.

MeSH Term

Adult
Deglutition
Deglutition Disorders
Diagnostic Techniques, Digestive System
Female
Humans
Male
Middle Aged

Word Cloud

Created with Highcharts 10.0.0swallowingaccelerometrydual-axissignalsanterior-posteriorsuperior-inferiorcharacterizationtime-frequencyanalysistwoaxesdifferentinformationSingle-axisshownpotentialnon-invasiveclinicalassessmenttoolPreviousresearchfocusedexclusivelyvibrationdetectedsurfaceneckHoweverhyolaryngealmotionpharyngealoccursdirectionssuggestingmayworthyinvestigationmotivationpresentpaperprovideshealthyadultstimedomainsTime-domainrevealedexhibitedprobabilitydensityfunctionsminimalcross-correlationmutualTime-frequencyhighlightedinter-axisdissimilaritiesscalogramspseudo-spectratemporalevolutionlow-high-frequencycontentThereforeconcludedcontainaxisinvestigatedfuturestudiesTime

Similar Articles

Cited By