| 研究開始時の研究の概要 |
The main feature of the proposed research is that it considers the dynamically self-generated multivariate AE signals as passive input sources for the adaptive deconvolution in extracting the dominating source signal which reveals exact damage information making the inhomogeneous knee joint with adaptively sized damaged source. Therefore, it works as a novel technique for damage characterization of osteoarthritic knees. Hence, the proposed procedure becomes a worthy in accurately dealing with osteoarthritis at knee joint, even in early stage.
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