%0 Journal Article
%T Quantitative classification of pediatric swallowing through accelerometry
%A Celeste Merey
%A Azadeh Kushki
%A Ervin Sejdic
%A Glenn Berall
%A Tom Chau
%J Journal of NeuroEngineering and Rehabilitation
%D 2012
%I BioMed Central
%R 10.1186/1743-0003-9-34
%X In this study, dual-axis accelerometric signals were collected simultaneous to videofluoroscopic records from 29 pediatric participants (age 6.8 ¡À 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.Using 8-fold cross-validation, 16-17 dimensions and a support vector machine classifier with an RBF kernel, an adjusted accuracy of 89.6% ¡À 0.9 was achieved for the discrimination between swallows with and with out airway entry.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.
%K Swallowing
%K Dysphagia
%K Dual-axis
%K Accelerometry
%K Classification
%U http://www.jneuroengrehab.com/content/9/1/34/abstract