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	Chondromalacia patellae detection by analysis of intrinsic mode functions in knee joint vibration signals
	Wu, Yunfeng ; Cai, Suxian ; Xu, Fang ; Shi, Lei ; Krishnan, Sridhar ; Wu YF(吴云峰)
	2013
关键词	Biomedical engineering Joints (anatomy) Physics Probability density function
英文摘要	Conference Name:World Congress on Medical Physics and Biomedical Engineering. Conference Address: Beijing, China. Time:May 26, 2012 - May 31, 2012.; This paper presents the knee joint vibration signal processing and pathological localization procedures using the empirical mode decomposition for patients with chondromalacia patellae. The artifacts of baseline wander and random noise were identified in the decomposed monotonic trend and intrinsic mode functions, using the probability density function modeling method and the confidence limit criterion. Then, the fluctuation parts in the signal were detected by the signal turns count method. The results demonstrated that the quality of reconstructed signal can be greatly improved, with the removal of the baseline wander (adaptive trend) and the Gaussiandistributed random noise. By detecting the signal turns in the artifact-free signal, the pathological segments related to chondromalacia patellae can be effectively localized with the beginning and ending points of the span of signal turns. ? 2013 Springer-Verlag.
语种	英语
出处	http://dx.doi.org/10.1007/978-3-642-29305-4_130
出版者	Springer Verlag
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86602]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Wu, Yunfeng,Cai, Suxian,Xu, Fang,et al. Chondromalacia patellae detection by analysis of intrinsic mode functions in knee joint vibration signals. 2013-01-01.

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