2015 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) 2015
DOI: 10.1109/mfi.2015.7295828
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Force-based puncture detection and active position holding for assisted retinal vein cannulation

Abstract: Retinal vein cannulation is a demanding procedure proposed to treat retinal vein occlusion by direct therapeutic agent delivery methods. Challenges in identifying the moment of venous puncture, achieving cannulation and maintaining cannulation during drug delivery currently limit the feasibility of the procedure. In this study, we respond to these problems with an assistive system combining a handheld micromanipulator, Micron, with a force-sensing microneedle. The integrated system senses the instant of vein p… Show more

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Cited by 19 publications
(23 citation statements)
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“…In order to monitor the response of each FBG, we use an optical sensing interrogator, sm130–700 from Micron Optics Inc. (Atlanta GA), which provides a wavelength resolution of 1 pm. Combining this with the calibration matrix identified in [27] shows a resolution of about 0.25 mN for our force-sensing microneedle. The time constant is about 5 ms [28], providing a fast enough response for accurate tracking of quick force variations.…”
Section: Methodsmentioning
confidence: 94%
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“…In order to monitor the response of each FBG, we use an optical sensing interrogator, sm130–700 from Micron Optics Inc. (Atlanta GA), which provides a wavelength resolution of 1 pm. Combining this with the calibration matrix identified in [27] shows a resolution of about 0.25 mN for our force-sensing microneedle. The time constant is about 5 ms [28], providing a fast enough response for accurate tracking of quick force variations.…”
Section: Methodsmentioning
confidence: 94%
“…Previously we have achieved an extended period of intravenous cannula stability in a dry phantom by combining Micron with a force-sensing microneedle (Fig. 1a,1b) [27]. This study builds on our previous work, and integrates our force-sensing microneedle with another robot assistant, the SHER system (Fig.…”
Section: Introductionmentioning
confidence: 89%
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