Computer-assisted detection of swallowing difficulty

Computer-assisted detection of swallowing difficulty

Highlights • Hyoid movement data attained from videofluoroscopic swallowing study was analyzed. • SVM was employed to classify the data as normal or dysfunctional swallowing. • Features extracted from hyoid movement were selected to minimized redundancy. • Feature selection results would present a d...

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Veröffentlicht in:Computer methods and programs in biomedicine 2016-10, Vol.134, p.79-88
Hauptverfasser: Lee, Jung Chan, Seo, Han Gil, Kim, Hee Chan, Han, Tai Ryoon, Oh, Byung-Mo
Format: Artikel
Sprache:eng
Schlagworte:
Biomechanical Phenomena
Case-Control Studies
Deglutition disorders
Deglutition Disorders - diagnosis
Diagnosis, Computer-Assisted
Dysphagia
Humans
Hyoid bone
Internal Medicine
Other
Support Vector Machine
Support vector machines
Swallowing difficulty
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Zusammenfassung:Highlights • Hyoid movement data attained from videofluoroscopic swallowing study was analyzed. • SVM was employed to classify the data as normal or dysfunctional swallowing. • Features extracted from hyoid movement were selected to minimized redundancy. • Feature selection results would present a deeper understanding of dysphagia pathophysiology. • The proposed method with an outstanding discrimination performance would be useful as an adjunct diagnostic tool.
ISSN:0169-2607
1872-7565
DOI:10.1016/j.cmpb.2016.07.010