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

Sejdić, E and Steele, CM and Chau, T (2012) A method for removal of low frequency components associated with head movements from dual-axis swallowing accelerometry signals. PLoS ONE, 7 (3).

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Abstract

Head movements can greatly affect swallowing accelerometry signals. In this paper, we implement a spline-based approach to remove low frequency components associated with these motions. Our approach was tested using both synthetic and real data. Synthetic signals were used to perform a comparative analysis of the spline-based approach with other similar techniques. Real data, obtained data from 408 healthy participants during various swallowing tasks, was used to analyze the processing accuracy with and without the spline-based head motions removal scheme. Specifically, we analyzed the segmentation accuracy and the effects of the scheme on statistical properties of these signals, as measured by the scaling analysis. The results of the numerical analysis showed that the spline-based technique achieves a superior performance in comparison to other existing techniques. Additionally, when applied to real data, we improved the accuracy of the segmentation process by achieving a 27% drop in the number of false negatives and a 30% drop in the number of false positives. Furthermore, the anthropometric trends in the statistical properties of these signals remained unaltered as shown by the scaling analysis, but the strength of statistical persistence was significantly reduced. These results clearly indicate that any future medical devices based on swallowing accelerometry signals should remove head motions from these signals in order to increase segmentation accuracy. © 2012 Sejdić et al.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Sejdić, Eesejdic@pitt.eduESEJDIC0000-0003-4987-8298
Steele, CM
Chau, T
Contributors:
ContributionContributors NameEmailPitt UsernameORCID
EditorLam, WilburUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date: 29 March 2012
Date Type: Publication
Journal or Publication Title: PLoS ONE
Volume: 7
Number: 3
DOI or Unique Handle: 10.1371/journal.pone.0033464
Schools and Programs: Swanson School of Engineering > Computer Engineering
Swanson School of Engineering > Electrical Engineering
Refereed: Yes
MeSH Headings: Adolescent; Adult; Aged; Algorithms; Deglutition--physiology; Head Movements--physiology; Humans; Middle Aged; Motion; Reproducibility of Results; Signal Processing, Computer-Assisted--instrumentation; Young Adult
Other ID: NLM PMC3315562
PubMed Central ID: PMC3315562
PubMed ID: 22479402
Date Deposited: 24 Sep 2012 20:05
Last Modified: 02 Feb 2019 15:55
URI: http://d-scholarship.pitt.edu/id/eprint/14164

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