Energy analysis of rolling manipulation force signal based on wavelet transform

被引：0

作者：

Lv, Jie ^{[1
]}

Cao, Jin-Feng ^{[1
]}

Fang, Lei ^{[2
]}

Ma, Long-Long ^{[1
]}

Zhang, Dan-Song ^{[1
]}

Fang, Zhou ^{[1
]}

Xu, Shi-Xiong ^{[1
]}

Fang, Min ^{[2
]}

机构：

[1] Mechanics and Engineering Science Department, Fudan University, Shanghai 200433, China

[2] Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 200437, China

来源：

Yiyong Shengwu Lixue/Journal of Medical Biomechanics | 2010年 / 25卷 / 06期

关键词：

D O I：

暂无

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

ObjectiveTo analyze the energy of rolling manipulation in different frequency bands and find the features of rolling manipulation dynamics. MethodThe force signals of rolling manipulation of six experts and six beginners were measured and divided into different frequency bands by wavelet transform to calculate the energy. Through statistical analysis, 18 characteristic quantities of horizontal force or vertical force were created and the overall evaluation coefficient R was proposed. ResultsAbout 70% of experts' rolling manipulation energy was found in 0~0.40625 Hz and about 20% energy in 1.625~3.25 Hz. The overall evaluation coefficient -R of 6 experts was over 0.70, while R of beginners was below 0.70, which showed the difference was significant. ConclusionsThe energy distribution of rolling manipulation reflects the characteristics of softness and periodicity. If the rolling manipulation is in accordance with the manipulative requirement and the overall evaluation coefficients R is over 0.70, it could be said that the operator masters the rolling manipulation well.

引用

页码：439 / 443

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