By Yunfeng Wu
This ebook offers the state-of-the-art applied sciences of knee joint vibroarthrographic sign research for the screening and detection of knee joint accidents. It describes a couple of potent computer-aided equipment for research of the nonlinear and nonstationary biomedical indications generated by way of advanced physiological mechanics. This ebook additionally introduces a number of renowned laptop studying and trend reputation algorithms for biomedical sign classifications. The booklet is well-suited for all researchers seeking to higher comprehend knee joint biomechanics and the complex know-how for vibration arthrometry.
Dr. Yunfeng Wu is an affiliate Professor on the institution of data technology and expertise, Xiamen college, Xiamen, Fujian, China.
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Additional info for Knee Joint Vibroarthrographic Signal Processing and Analysis
Then the boundary of the current segment is determined, and a new segment-determination procedure starts with the next 128-sample reference window. The major issue of such a method lies in the © The Author(s) 2015 Y. 1007/978-3-662-44284-5_3 33 34 3 Signal Analysis definition of the reference window of an appropriate length to suit a specific VAG signal. For example, if a sudden variation occurs in the middle of a window being tested, the segment boundary would be located at the beginning of the window, rather than the exact position of the sudden variation .
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