中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Identification of tissue types and boundaries with a fiber optic force sensor

文献类型:期刊论文

作者Yang TW(杨唐文); Zhu, Haifeng; Han JD(韩建达); Zhao XG(赵新刚); Xu WL(徐卫良)
刊名Science China Information Sciences
出版日期2014
卷号57期号:2页码:1-7
关键词fiber optic force sensor needle puncture layered tissue identification of tissue types and boundaries wavelet transform
ISSN号1674-733X
产权排序2
通讯作者杨唐文
中文摘要The absence of tactile force information at the tip of a medical instrument makes precise minimally invasive surgery difficult and is prone to resulting in serious outcomes. In this paper, a fiber optic force sensor is fabricated based on Fabry-Pérot interferometry and integrated with a puncture needle. The force sensor is attached to the needle tip, where interactive force arises as it inserts into soft tissue. Needle insertion experiments have been conducted on ex vivo swine liver and belly with the calibrated force sensor. Using wavelet transform method, the acquired force data are analyzed and used to identify layered tissue types and boundaries. We found that the force amplitudes are not always identical, but the patterns of forces are almost the same, which enables us to identify layered tissues and to realize a safe needle insertion procedure under robot control.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems
研究领域[WOS]Computer Science
关键词[WOS]NEEDLE
收录类别SCI ; EI
语种英语
WOS记录号WOS:000346238500017
公开日期2014-11-29
源URL[http://ir.sia.cn/handle/173321/15280]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
Yang TW,Zhu, Haifeng,Han JD,et al. Identification of tissue types and boundaries with a fiber optic force sensor[J]. Science China Information Sciences,2014,57(2):1-7.
APA Yang TW,Zhu, Haifeng,Han JD,Zhao XG,&Xu WL.(2014).Identification of tissue types and boundaries with a fiber optic force sensor.Science China Information Sciences,57(2),1-7.
MLA Yang TW,et al."Identification of tissue types and boundaries with a fiber optic force sensor".Science China Information Sciences 57.2(2014):1-7.

入库方式: OAI收割

来源:沈阳自动化研究所

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