Literature DB >> 20336838

Baseline characteristics of dual-axis cervical accelerometry signals.

Ervin Sejdić1, Vicki Komisar, Catriona M Steele, Tom Chau.   

Abstract

Dual-axis swallowing accelerometry is a promising noninvasive tool for the assessment of difficulties during deglutition. The resting and anaerobic characteristics of these signals, however, are still unknown. This paper presents a study of baseline characteristics (stationarity, spectral features, and information content) of dual-axis cervical vibrations. In addition, modeling of a data acquisition system was performed to annul any undesired instrumentation effects. Two independent data collection procedures were conducted to fulfil the goals of the study. For baseline characterization, data were acquired from 50 healthy adult subjects. To model the data acquisition (DAQ) system, ten recordings were obtained while the system was exposed to random small vibrations. The inverse filtering approach removed extraneous effects introduced by the DAQ system. Approximately half of the filtered signals were stationary in nature. All signals exhibited a level of statistical dependence between the two axes. Also, there were very low frequency oscillations present in these signals that may be attributable to vasomotion of blood vessels near the thyroid cartilage, blood flow, and respiration. Demographic variables such as age and gender did not statistically influence baseline information-theoretic signal characteristics. However, participant age did affect the baseline spectral characteristics. These findings are important to the further development of diagnostic devices based on dual-axis swallowing vibration signals.

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Year:  2010        PMID: 20336838     DOI: 10.1007/s10439-009-9874-z

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  20 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 Matched Dual-Tree Wavelet Denoising for Tri-Axial Swallowing Vibrations.

Authors:  Joshua M Dudik; James L Coyle; Amro El-Jaroudi; Mingui Sun; Ervin Sejdić
Journal:  Biomed Signal Process Control       Date:  2016-03-08       Impact factor: 3.880

4.  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

5.  Functional connectivity patterns of normal human swallowing: difference among various viscosity swallows in normal and chin-tuck head positions.

Authors:  Iva Jestrović; James L Coyle; Subashan Perera; Ervin Sejdić
Journal:  Brain Res       Date:  2016-09-29       Impact factor: 3.252

6.  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

7.  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

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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