Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Quantitative classification of pediatric swallowing through accelerometry

Celeste, M and Azadeh, K and Sejdi, E and Berall, G and Chau, T (2012) Quantitative classification of pediatric swallowing through accelerometry. Journal of NeuroEngineering and Rehabilitation, 9 (1).

[img]
Preview
PDF
Published Version
Available under License : See the attached license file.

Download (387kB) | Preview
[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)

Abstract

Background: Dysphagia or swallowing disorder negatively impacts a child's health and development. The gold standard of dysphagia detection is videofluoroscopy which exposes the child to ionizing radiation, and requires specialized clinical expertise and expensive institutionally-based equipment, precluding day-to-day and repeated assessment of fluctuating swallowing function. Swallowing accelerometry is the non-invasive measurement of cervical vibrations during swallowing and may provide a portable and cost-effective bedside alternative. In particular, dual-axis swallowing accelerometry has demonstrated screening potential in older persons with neurogenic dysphagia, but the technique has not been evaluated in the pediatric population. Methods: In this study, dual-axis accelerometric signals were collected simultaneous to videofluoroscopic records from 29 pediatric participants (age 6.8 ± 4.8 years; 20 males) previously diagnosed with neurogenic dysphagia. Participants swallowed 3-5 sips of barium-coated boluses of different consistencies (normally, from thick puree to thin liquid) by spoon or bottle. Videofluoroscopic records were reviewed retrospectively by a clinical expert to extract swallow timings and ratings. The dual-axis acceleration signals corresponding to each identified swallow were pre-processed, segmented and trimmed prior to feature extraction from time, frequency, time-frequency and information theoretic domains. Feature space dimensionality was reduced via principal components. Results: Using 8-fold cross-validation, 16-17 dimensions and a support vector machine classifier with an RBF kernel, an adjusted accuracy of 89.6% ± 0.9 was achieved for the discrimination between swallows with and with out airway entry. Conclusions: Our results suggest that dual-axis accelerometry has merit in the non-invasive detection of unsafe swallows in children and deserves further consideration as a pediatric medical device. © 2012 Mérey et al; licensee BioMed Central Ltd.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Celeste, M
Azadeh, K
Sejdi, E
Berall, G
Chau, T
Date: 12 June 2012
Date Type: Publication
Journal or Publication Title: Journal of NeuroEngineering and Rehabilitation
Volume: 9
Number: 1
DOI or Unique Handle: 10.1186/1743-0003-9-34
Schools and Programs: Swanson School of Engineering > Electrical and Computer Engineering
Refereed: Yes
Date Deposited: 14 Oct 2016 15:38
Last Modified: 14 Oct 2021 07:55
URI: http://d-scholarship.pitt.edu/id/eprint/29882

Metrics

Monthly Views for the past 3 years

Plum Analytics

Altmetric.com


Actions (login required)

View Item View Item