ArticleProceedings of IEEE Sensors. IEEE International Conference on Sensors
FBG-Based Transverse and Axial Force-Sensing Micro-Forceps for Retinal Microsurgery.
Article in Proceedings of IEEE Sensors. IEEE International Conference on Sensors. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 25 citations in OpenAlex.
- Liquid-Driven Microinjection System for Precise Fundus Injection.Sensors (Basel, Switzerland) · 2024Article
- Unified Shape and External Load State Estimation for Continuum Robots.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2024Article
- An automatic drug injection device with spatial micro-force perception guided by an microscopic image for robot-assisted ophthalmic surgery.Frontiers in robotics and AI · 2022Article
- Three-Axis Tension-Measuring Vitreoretinal Forceps Using Strain Sensor for Corneal Surgery.Polymers · 2021Article
- Combined OCT distance and FBG force sensing cannulation needle for retinal vein cannulation: in vivo animal validation.International journal of computer assisted radiology and surgery · 2019Article
- 3-DOF Force-Sensing Motorized Micro-Forceps for Robot-Assisted Vitreoretinal Surgery.IEEE sensors journal · 2017Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Retinal microsurgery routinely requires the manipulation of extremely delicate tissues. Membrane peeling is a prototypical task where a layer of fibrous tissue is delaminated off the retina with a micro-forceps by applying very fine forces that are mostly imperceptible to the surgeon. Previously we developed sensitized ophthalmic surgery tools that can precisely detect the transverse forces at the instrument's tip via integrated fiber Bragg grating strain sensors. This paper presents a new design that employs an additional sensor to capture also the tensile force along the tool axis which can be significant in membrane peeling. We investigate two distinct fitting methods to compute the transverse and axial forces based on sensor outputs. Validation with random samples shows that the linear method closely predicts the transverse force but does not provide sufficient accuracy in computing the axial load. Our nonlinear method resolves this problem, providing a more consistent and accurate measurement of both the transverse and axial forces.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.