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Scaling analysis of baseline dual-axis cervical accelerometry signals.
MedLine Citation:
PMID:  20708292     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Dual-axis cervical accelerometry is an emerging approach for the assessment of swallowing difficulties. However, the baseline signals, i.e., vibration signals with only quiet breathing or apnea but without swallowing, are not well understood. In particular, to comprehend the contaminant effects of head motion on cervical accelerometry, we need to study the scaling behavior of these baseline signals. Dual-axis accelerometry data were collected from 50 healthy adult participants under conditions of quiet breathing, apnea and selected head motions, all in the absence of swallowing. The denoised cervical vibrations were subjected to detrended fluctuation analysis with empirically determined first-order detrending. Strong persistence was identified in cervical vibration signals in both anterior-posterior (A-P) and superior-inferior (S-I) directions, under all the above experimental conditions. Vibrations in the A-P axes exhibited stronger correlations than those in the S-I axes, possibly as a result of axis-specific effects of vasomotion. In both axes, stronger correlations were found in the presence of head motion than without, suggesting that head movement significantly impacts baseline cervical accelerometry. No gender or age effects were found on statistical persistence of either vibration axes. Future developments of cervical accelerometry-based medical devices should actively mitigate the effects of head movement.
Authors:
Ervin Sejdić; Catriona M Steele; Tom Chau
Publication Detail:
Type:  Journal Article     Date:  2010-08-12
Journal Detail:
Title:  Computer methods and programs in biomedicine     Volume:  103     ISSN:  1872-7565     ISO Abbreviation:  Comput Methods Programs Biomed     Publication Date:  2011 Sep 
Date Detail:
Created Date:  2011-07-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8506513     Medline TA:  Comput Methods Programs Biomed     Country:  Ireland    
Other Details:
Languages:  eng     Pagination:  113-20     Citation Subset:  IM    
Copyright Information:
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.
Affiliation:
Bloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital and the Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario, Canada; Division of Gerontology, Beth Israel Deaconess Medical Center and Harvard Medical School, Harvard University, Boston, MA, USA.
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