Classification of Penetration--Aspiration Versus Healthy Swallows Using Dual-Axis Swallowing Accelerometry Signals in Dysphagic Subjects

• Published in: IEEE transactions on biomedical engineering Vol. 60; no. 7; pp. 1859 - 1866
• Main Authors: Sejdic, Ervin, Steele, Catriona M., Chau, Tom
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.07.2013; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Acceleration; Accelerometry - methods; Accuracy; Algorithms; Barium; Bayes classification; Classification; Deglutition; Deglutition Disorders - diagnosis; Deglutition Disorders - physiopathology; Diagnosis, Computer-Assisted - methods; Discrete wavelet transforms; Discriminant analysis; dual-axis swallowing accelerometry signals; Humans; linear discriminant analysis (LDA); Liquids; Numerical analysis; Pattern Recognition, Automated - methods; Reproducibility of Results; Sensitivity and Specificity; Studies; Vectors; Wavelet Analysis; Wavelet packets; wavelet transformation

Swallowing accelerometry is a promising noninvasive approach for the detection of swallowing difficulties. In this paper, we propose an approach for classification of swallowing accelerometry recordings containing either healthy swallows or penetration-aspiration (entry of material into the airway)...