Literature DB >> 18756027

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

J Lee1, C M Steele, T Chau.   

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:

Year:  2008        PMID: 18756027     DOI: 10.1088/0967-3334/29/9/008

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  24 in total

1.  Characteristics of Dry Chin-Tuck Swallowing Vibrations and Sounds.

Authors:  Joshua M Dudik; Iva Jestrović; Bo Luan; James L Coyle; Ervin Sejdić
Journal:  IEEE Trans Biomed Eng       Date:  2015-05-12       Impact factor: 4.538

2.  The Association of High Resolution Cervical Auscultation Signal Features With Hyoid Bone Displacement During Swallowing.

Authors:  Qifan He; Subashan Perera; Yassin Khalifa; Zhenwei Zhang; Amanda S Mahoney; Aliaa Sabry; Cara Donohue; James L Coyle; Ervin Sejdic
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2019-08-21       Impact factor: 3.802

3.  A comparison between swallowing sounds and vibrations in patients with dysphagia.

Authors:  Faezeh Movahedi; Atsuko Kurosu; James L Coyle; Subashan Perera; Ervin Sejdić
Journal:  Comput Methods Programs Biomed       Date:  2017-03-10       Impact factor: 5.428

4.  Effects of liquid stimuli on dual-axis swallowing accelerometry signals in a healthy population.

Authors:  Joon Lee; Ervin Sejdić; Catriona M Steele; Tom Chau
Journal:  Biomed Eng Online       Date:  2010-02-04       Impact factor: 2.819

5.  An investigation of patterns in hemodynamic data indicative of impending hypotension in intensive care.

Authors:  Joon Lee; Roger G Mark
Journal:  Biomed Eng Online       Date:  2010-10-25       Impact factor: 2.819

6.  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

7.  Anthropometric and demographic correlates of dual-axis swallowing accelerometry signal characteristics: a canonical correlation analysis.

Authors:  Fady Hanna; Sonja M Molfenter; Rebecca E Cliffe; Tom Chau; Catriona M Steele
Journal:  Dysphagia       Date:  2009-06-03       Impact factor: 3.438

8.  Upper Esophageal Sphincter Opening Segmentation With Convolutional Recurrent Neural Networks in High Resolution Cervical Auscultation.

Authors:  Yassin Khalifa; Cara Donohue; James L Coyle; Ervin Sejdic
Journal:  IEEE J Biomed Health Inform       Date:  2021-02-05       Impact factor: 5.772

9.  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

10.  Anatomical Directional Dissimilarities in Tri-axial Swallowing Accelerometry Signals.

Authors:  Faezeh Movahedi; Atsuko Kurosu; James L Coyle; Subashan Perera; Ervin Sejdic
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2016-06-07       Impact factor: 3.802

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