Knee osteoarthritis detection based on the combination of empirical mode decomposition and wavelet analysis
Author:
Affiliation:
1. Graduate School of Systems Design, Tokyo Metropolitan University
2. Faculty of Systems Design, Tokyo Metropolitan University
3. livet Inc.
4. The Faculty of Rehabilitation and Care, Seijoh University
Publisher
Japan Society of Mechanical Engineers
Subject
Biomedical Engineering
Link
https://www.jstage.jst.go.jp/article/jbse/15/3/15_20-00017/_pdf
Reference32 articles.
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3. Box, G. E. and Jenkins, G., Time Series Analysis (1990), Forecasting and Control.
4. Cai, S., Wu, Y., Xiang, N., Zhong, Z., He, J., Shi, L. and Xu, F., Detrending knee joint vibration signals with a cascade moving average filter, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, (2012), DOI:10.1109/EMBC.2012.6346931.
5. Cashman, P. M., Kitney, R. I., Gariba, M. A. and Carter, M. E., Automated techniques for visualization and mapping of articular cartilage in MR images of the osteoarthritic knee: A base technique for the assessment of microdamage and submicro damage, IEEE Transactions on Nanobioscience, Vol. 99, No. 1 (2002), DOI:10.1109/TNB.2002.806916.
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