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2009 16th International Conference on Digital Signal Processing
Analysis of knee-joint vibration sounds, also known as vibroarthrographic (VAG) signals, could lead to a noninvasive clinical tool for early detection of knee-joint pathology. In this paper, we employed the wavelet matching pursuit (MP) decomposition and signal variability for time-frequency domain and time-domain analysis of VAG signals. The number of wavelet MP atoms and the number of significant turns detected with the fixed threshold from signal variability analysis were extracted asdoi:10.1109/icdsp.2009.5201156 fatcat:7bl3d5532zbtvfykqyy4ojrhde