DocumentCode
258641
Title
PCA for tongue-palate swallowing pressure analysis
Author
Yinle Xu ; Casey, Vincent ; Conway, Richard ; Perry, Alison
Author_Institution
Dept. of Phys. & Energy, Univ. of Limerick, Limerick, Ireland
fYear
2013
fDate
26-27 June 2013
Firstpage
362
Lastpage
367
Abstract
Tongue-palate interface pressure during swallowing is of interest in dysphagia research. Interface pressure data collected with a new intra-oral pressure measurement system, OroPress is examined using principle component analysis (PCA). PCA indicated a feature difference between male and female swallowing pressure profiles. This difference is expressed in high dimensional space, where the power in female swallowing pressure was found to have a denser distribution in the eigenvector basis than that of males. This paper presents a method for classifying the testing probes between the two genders in terms of PCA reconstruction.
Keywords
biological tissues; biomedical equipment; biomedical measurement; data acquisition; demography; eigenvalues and eigenfunctions; feature extraction; medical disorders; medical signal processing; pressure measurement; principal component analysis; signal classification; OroPress; PCA reconstruction; dysphagia research; eigenvector basis; female swallowing pressure power distribution; female swallowing pressure profile; high dimensional space; intra-oral pressure measurement system; principle component analysis; swallowing pressure profile feature difference; testing probe classification; tongue-palate interface pressure data collection; tongue-palate swallowing pressure analysis; binary classification; principle component analysis; swallowing pressure gender difference; tongue-palate interface pressure;
fLanguage
English
Publisher
iet
Conference_Titel
Irish Signals & Systems Conference 2014 and 2014 China-Ireland International Conference on Information and Communications Technologies (ISSC 2014/CIICT 2014). 25th IET
Conference_Location
Limerick
Type
conf
DOI
10.1049/cp.2014.0715
Filename
6912786
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