Time-frequency analysis and filtering of kinematic signals with impacts using the Wigner function: accurate estimation of the second derivative

被引:24
作者
Giakas, G
Stergioulas, LK
Vourdas, A
机构
[1] Univ Manchester, Hope Hosp, Dept Geriatr Med, SATRU, Salford M6 8HD, Lancs, England
[2] Univ Ioannina, Dept Comp Sci, GR-45110 Ioannina, Greece
[3] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England
关键词
smoothing; biomechanics; power spectrum;
D O I
10.1016/S0021-9290(99)00216-X
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Biomechanical signals are represented in the time-frequency domain using the Wigner distribution function. Filtering of this representation for the case of a non-stationary displacement signal with impact is studied. Smoothed displacement data are then double differentiated and compared with references accelerometer data. It is shown that this technique is able to remove noise from these signals in a better way than conventional filtering techniques currently used in biomechanics. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:567 / 574
页数:8
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