Title :
Statistical analysis of lung sound data
Author :
Y.P. Kahya;E.C. Guler;B. Sankur
Author_Institution :
Dept. of Electr. Eng., Bogazici Univ., Istanbul, Turkey
Abstract :
Statistical analysis of feature sets of respiratory sounds with the aim of eliminating redundancy is performed. AR models are used to represent pulmonary sounds of two types of pathological cases, namely, obstructive and restrictive disease patients, and healthy subjects. The results of the statistical tests are further checked against the results of different classifiers.
Keywords :
"Statistical analysis","Testing","Diseases","Pathology","Lungs","Acoustic signal processing","Probability distribution","Performance evaluation","Probability density function","Parameter estimation"
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804168
