Analysis of Vibroarthrographic signals for classification of knee disorders using Empirical Wavelet Transform based on Statistical measures
Author:
Affiliation:
1. National Institute of Technology Warangal,Department of ECE.,Warangal,India
2. Kakatiya Institute of Technology and Science,Department of ECE,Warangal,India
3. Kakatiya Medical College,Department of Orthopedics,Warangal,India
Funder
Science and Engineering Research Board
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10175865/10175876/10175958.pdf?arnumber=10175958
Reference19 articles.
1. Adaptive time-frequency analysis of knee joint vibroarthrographic signals for noninvasive screening of articular cartilage pathology
2. Analysis and Classification of Vibroarthrographic Signals using Tuneable ‘Q’ Wavelet Transform
3. Screening of knee-joint vibroarthrographic signals using probability density functions estimated with Parzen windows
4. Fractal analysis of knee-joint vibroarthrographic signals via power spectral analysis
5. Detrending knee joint vibration signals with a cascade moving average filter
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