DocumentCode
3079528
Title
The acoustical analysis of knee joint sounds for non-invasive diagnosis of articular pathology
Author
Lee, Sang Ok ; Kim, Keo Sik ; Seo, Jeong Hwan ; Kim, Kyeong Seop ; Song, Chul Gyu
Author_Institution
Graduate Sch. of Electron., Chonbuk Univ., Jeon-Ju, South Korea
fYear
2005
fDate
2-4 Nov. 2005
Firstpage
390
Lastpage
392
Abstract
We have evaluated and classified arthritic pathology using the acoustical analysis of knee joint sounds. Six normal subjects and 11 patients with knee problem were enrolled and patients were divided into the 1st patient group needed an orthopaedic surgery because of the ruptured wounds of meniscus or ACL (anterior cruciate ligament) and 2nd patient group diagnosed as osteoarthritis. In sitting and standing position, subjects flexed and extended the knee joint, the sounds and angle of knee joint were collected. Dynamic time warping was applied for normalizing a time-axis. The fundamental frequency, the mean amplitude of pitch, jitter, shimmer were analyzed according to a position and unpaired T-test and ANOVA test were used for statistic results. The experimental results showed that the fundamental frequency of the 2nd patient group or standing groups was higher than the others and the pitch of sounds was varied unstably.
Keywords
acoustic signal processing; medical signal processing; patient diagnosis; signal classification; acoustical analysis; anterior cruciate ligament; arthritic pathology; articular pathology; dynamic time warping; knee joint sounds; noninvasive diagnosis; orthopaedic surgery; Analysis of variance; Frequency; Jitter; Knee; Ligaments; Orthopedic surgery; Osteoarthritis; Pathology; Testing; Wounds;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Systems Design and Implementation, 2005. IEEE Workshop on
ISSN
1520-6130
Print_ISBN
0-7803-9333-3
Type
conf
DOI
10.1109/SIPS.2005.1579899
Filename
1579899
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