Title :
Time-frequency signal feature extraction and screening of knee joint vibroarthrographic signals using the matching pursuit method
Author :
Krishnan, Sridhar ; Rangayyan, Rangaraj M. ; Bell, G. Douglas ; Frank, Cyril B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
fDate :
30 Oct-2 Nov 1997
Abstract :
Nonstationary features of knee joint vibroarthrographic (VAG) signals were extracted from their time-frequency distributions (TFDs) obtained using the matching pursuit method. Features computed as marginal calculations of the TFDs were instantaneous energy, instantaneous energy spread, instantaneous mean frequency, and instantaneous mean frequency spread. The features carry information about the combined time-frequency dynamics of the signals. The mean and standard deviation of the features were also computed, and each VAG signal was represented by a set of just 8 parameters. The method was tested on 37 VAG signals (19 normal and 18 abnormal) with no restriction on the type of articular cartilage pathology. Discriminant analysis of the parameters showed an accuracy of 89.5% at the training stage and 77.8% at the test stage. Compared to the authors´ previous methods, the proposed method does not need any joint angle and clinical information, and shows good potential for noninvasive diagnosis and monitoring of articular cartilage pathology
Keywords :
acoustic signal processing; bioacoustics; biomechanics; feature extraction; medical signal processing; orthopaedics; time-frequency analysis; vibration measurement; articular cartilage pathology; combined time-frequency dynamics; discriminant analysis; instantaneous energy; instantaneous mean frequency; knee joint vibroarthrographic signals screening; knee sounds; marginal calculations; monitoring; noninvasive diagnosis; nonstationary features; time-frequency signal feature extraction; Clinical diagnosis; Data mining; Feature extraction; Joints; Knee; Matching pursuit algorithms; Noninvasive treatment; Pathology; Testing; Time frequency analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.756616