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Alternative TitleWavelet transform analysis of optic fiber force sensing signals at puncture needle tip
杨唐文; 陈盼飞; 韩建达; 徐卫良
Source Publication光学精密工程
Indexed ByEI ; CSCD
EI Accession number20153901301625
Contribution Rank2
Funding Organization国家自然科学基金资助项目(No.61375109,No.61273356)
Keyword光纤力传感器 针穿刺 Mallat算法 分层软组织 边界界定 小波变换
Other AbstractDuring a percutaneous soft tissue puncture, a puncture needle is inserted into the layered tissues with various material properties, and the interactive force at the needle tip occurs discriminately. To measure the force and identify the boundaries of the layered tissues in the puncture path, a fiber optic force sensor was fabricated, and the force data acquired with the sensor were analyzed. In terms of a Fabry-Perot interferometer, the measuring principle of the fiber optic sensor was presented, and its optical link, its integration into the needle and calibration approach were introduced. Then, based on the insertion force signal analysis, the force signals were decomposed via the Mallat algorithm into wavelets, and their patterns were recognized and used to identify the layered tissue boundaries. Finally, needle insertion tests were performed with the swine liver and belly tissue phantoms. The experimental results show that the working range of the force sensor is 0-3.20 N and the measuring resolution is under 0.01 N. Moreover, the insertion test results indicate that the Mallat algorithm is effective to the discrimination of layered tissues. It concludes that the fabricated fiber optic sensor meets the requirements of working range, accuracy and reliability to measure an insertion force. The proposed wavelet transform algorithm is able to identify the boundaries of the layered tissues and is expected to used in the percutaneous control by a robot.
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Document Type期刊论文
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GB/T 7714
杨唐文,陈盼飞,韩建达,等. 穿刺针尖光纤力传感信号的小波变换分析[J]. 光学精密工程,2015,23(8):2149-2157.
APA 杨唐文,陈盼飞,韩建达,&徐卫良.(2015).穿刺针尖光纤力传感信号的小波变换分析.光学精密工程,23(8),2149-2157.
MLA 杨唐文,et al."穿刺针尖光纤力传感信号的小波变换分析".光学精密工程 23.8(2015):2149-2157.
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