Title :
Investigating the statistical properties of the swallowing sounds
Author :
Shirazi, S. Sarraf ; Moussavi, Z.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Manitoba, Winnipeg, MB, Canada
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
In this paper the statistical properties of the swallowing sound is discussed. This knowledge is required for the acoustical modeling of the swallowing mechanism as it is important to select an appropriate type of the system (i.e. linear vs. nonlinear) for modeling. The tests of linearity and gaussianity were performed. The results of the statistical test of gaussianity showed a nongaussian distribution of the swallowing sound signals. Also, the test of linearity exhibited the nonlinear characteristics of the model that represents the swallowing sound generation.
Keywords :
Gaussian distribution; acoustic signal processing; medical signal processing; statistical analysis; Gaussianity; acoustical modeling; statistical test; swallowing sounds; Analytical models; Computational modeling; Fourier transforms; Frequency domain analysis; Hidden Markov models; Linearity; Physiology; Algorithms; Auscultation; Data Interpretation, Statistical; Deglutition; Deglutition Disorders; Humans; Reproducibility of Results; Sensitivity and Specificity; Sound Spectrography;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6091488
