Title :
Wavelet transform analysis of vibroarthrographic (VAG) signals obtained during dynamic knee movement
Author :
Zhang, Y.T. ; Rolston, W.A. ; Rangayyan, Rangaraj M. ; Frank, C.B. ; Bell, G.D.
Author_Institution :
Calgary Univ., Alta., Canada
Abstract :
The vibroarthrographic (VAG) signal can be measured on the skin surface of human knee joints during their relative movements. The nonstationary nature of the VAG signal makes frequency domain analysis using conventional Fourier methods difficult. Wavelet transform (WT) analysis is proposed. Results show that the method of multiresolution decomposition can localize events in the joint angle (time) and scale (frequency) planes. This dual localization property of the WT is particularly useful in studying VAG signals, where frequency spectra at various joint angles are required for diagnostic purposes
Keywords :
biomechanics; medical signal processing; wavelet transforms; dynamic knee movement; frequency domain analysis; frequency spectra; human knee joints; multiresolution decomposition; skin surface; vibroarthrographic signals; wavelet transform analysis; Accelerometers; Frequency; Humans; Joints; Knee; Pathology; Signal analysis; Signal processing; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-0805-0
DOI :
10.1109/TFTSA.1992.274194