CLASSFICATION OF ARTHRITIC PATHOLOGY USING ACOUSTIC SIGNAL PROCESSING
Kyu‐Seob Kim, Do‐Young Yoon, S. O. Lee, Jun Seo, Chul-Gyu Song · 2005
We have evaluated and classified arthritic pathology by using acoustic analysis of knee joint sound signals. Six normal and 11 patients with knee problem were enrolled. Patients were divided into the 1st patient group needed an orthopeadic surgery because of the ruptured wounds of meniscus or ACL (Anterior Cruciate Ligament) and 2nd patient group diagnosed as osteoarthritis. In sitting and standing, subjects flexed and ex- tended the knee joint, the sounds and angle of knee joint were collected. Dynamic Time Warping (DTW) was applied for normalizing a time-axis. The fundamental frequency, the mean amplitude of pitch, jitter, shimmer were analyzed according to a position and among 3 groups. The results showed that the fundamental fre- quency of the 2nd patient group or standing groups were higher than the others and the pitch of sounds was varied unstably.