Literature DB >> 15813411

Investigating the stationarity of paediatric aspiration signals.

Tom Chau1, Doug Chau, Michael Casas, Glenn Berall, David J Kenny.   

Abstract

An aspiration signal is the time-varying anterior-posterior acceleration measured infero-anterior to the thyroid notch when foreign material enters the airway during inspiration. The hypothesis of weak stationarity is tested on aspiration signals by the reverse arrangements test. Results indicate that aspiration signals cannot be uniformly regarded as weakly stationary. Forty-five percent of the examined signals violated the stationarity hypothesis. For these signals, time-varying variance and spectral density structure are identified as major sources of nonstationarity. Stationarity test results generally corroborate qualitative clinical descriptions of aspiration. However, stationarity analysis indicates that aspiration signals are highly heterogenous, a finding which poses significant challenges to the automatic detection of aspirations by accelerometry.

Mesh:

Year:  2005        PMID: 15813411     DOI: 10.1109/TNSRE.2004.841384

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  10 in total

1.  Fractal dimension values of cerebral and cerebellar activity in rats loaded with aluminium.

Authors:  Goran Kekovic; Milka Culic; Ljiljana Martac; Gordana Stojadinovic; Ivan Capo; Dusan Lalosevic; Slobodan Sekulic
Journal:  Med Biol Eng Comput       Date:  2010-04-28       Impact factor: 2.602

2.  An investigation of stride interval stationarity while listening to music or viewing television.

Authors:  Ervin Sejdić; Rebecca Jeffery; Alanna Vanden Kroonenberg; Tom Chau
Journal:  Hum Mov Sci       Date:  2011-08-04       Impact factor: 2.161

3.  The effects of head movement on dual-axis cervical accelerometry signals.

Authors:  Ervin Sejdić; Catriona M Steele; Tom Chau
Journal:  BMC Res Notes       Date:  2010-10-26

4.  Dysphagia Screening: Contributions of Cervical Auscultation Signals and Modern Signal-Processing Techniques.

Authors:  Joshua M Dudik; James L Coyle; Ervin Sejdić
Journal:  IEEE Trans Hum Mach Syst       Date:  2015-08       Impact factor: 2.968

5.  An investigation of fMRI time series stationarity during motor sequence learning foot tapping tasks.

Authors:  Othman Muhei-aldin; Jessie VanSwearingen; Helmet Karim; Theodore Huppert; Patrick J Sparto; Kirk I Erickson; Ervin Sejdić
Journal:  J Neurosci Methods       Date:  2014-02-11       Impact factor: 2.390

6.  A method for removal of low frequency components associated with head movements from dual-axis swallowing accelerometry signals.

Authors:  Ervin Sejdić; Catriona M Steele; Tom Chau
Journal:  PLoS One       Date:  2012-03-29       Impact factor: 3.240

7.  A radial basis classifier for the automatic detection of aspiration in children with dysphagia.

Authors:  Joon Lee; Stefanie Blain; Mike Casas; Dave Kenny; Glenn Berall; Tom Chau
Journal:  J Neuroeng Rehabil       Date:  2006-07-17       Impact factor: 4.262

8.  A comparative analysis of swallowing accelerometry and sounds during saliva swallows.

Authors:  Joshua M Dudik; Iva Jestrović; Bo Luan; James L Coyle; Ervin Sejdić
Journal:  Biomed Eng Online       Date:  2015-01-12       Impact factor: 2.819

9.  Dysphagia and its effects on swallowing sounds and vibrations in adults.

Authors:  Joshua M Dudik; Atsuko Kurosu; James L Coyle; Ervin Sejdić
Journal:  Biomed Eng Online       Date:  2018-05-31       Impact factor: 2.819

10.  A statistical analysis of cervical auscultation signals from adults with unsafe airway protection.

Authors:  Joshua M Dudik; Atsuko Kurosu; James L Coyle; Ervin Sejdić
Journal:  J Neuroeng Rehabil       Date:  2016-01-22       Impact factor: 4.262

  10 in total

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