DocumentCode
3283209
Title
Analysis of Vibroarthrographic Signals for Knee Osteoarthritis Diagnosis
Author
Tsair-Fwu Lee ; Wei-Chun Lin ; Li-Fu Wu ; Hung-Yu Wang
Author_Institution
Med. Phys. & Inf. Lab., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan
fYear
2012
fDate
25-28 Aug. 2012
Firstpage
223
Lastpage
228
Abstract
Osteoarthritis (OA) is the most common joint disease, except for the X-ray diagnosis of knee lesions, not more invasive detection methods. Clinical examination of the physician for long-term degenerative arthritis patients, found the knee often with crepitus sound in range of motion, but this is a subjective feeling, can´t be recorded and a comparative analysis. in this study, knee sound signal is obtained by an innovative stethoscope device with goniometer. the sound signal is input to personal computer and segmented according to goniometer data. Fourier transform of signal is done. Power spectrum is obtained and partition index calculated. Distribution parameters are obtained and optimum classification threshold then decided. Assess the VGA signal and compare knee OA with the X-ray image, and the VAG characteristics signal function using with mean, variance, skew ness and kurtosis statistics function analysis accuracy. Our total accuracy up to 82.69% showed good sensitivity and specificity rate. Vibroarthrographic signals of knee provide an economic alternative to x-ray examination for osteoarthritis patients.
Keywords
Fourier transforms; bone; medical signal processing; patient diagnosis; Fourier transform; OA; VAG characteristics signal function; crepitus sound; distribution parameters; goniometer; goniometer data; innovative stethoscope device; invasive detection methods; joint disease; knee lesions; knee osteoarthritis diagnosis; knee sound signal; optimum classification threshold; personal computer; power spectrum; sound signal; vibroarthrographic signal analysis; x-ray diagnosis; Arthritis; Biomedical engineering; Goniometers; Joints; Osteoarthritis; Pathology; Stethoscope; knee Osteoarthritis Vibroarthrographic signals Kellgren-Lawrence grading;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
Conference_Location
Kitakushu
Print_ISBN
978-1-4673-2138-9
Type
conf
DOI
10.1109/ICGEC.2012.60
Filename
6457259
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