ArticleProceedings of IEEE Sensors. IEEE International Conference on Sensors2018
Towards Bimanual Robot-Assisted Retinal Surgery: Tool-to-Sclera Force Evaluation.
Article in Proceedings of IEEE Sensors. IEEE International Conference on Sensors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Exploring the Needle Tip Interaction Force with Retinal Tissue Deformation in Vitreoretinal Surgery.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation · 2024Article
- Force-based Control for Safe Robot-assisted Retinal Interventions:IEEE transactions on medical robotics and bionics · 2022Article
- Robotic Assistance for Intraocular Microsurgery: Challenges and Perspectives.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2022Article
- Scleral Force Evaluation During Vitreoretinal Surgery: in an In Vivo Rabbit Eye Model.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2020Article
- Toward Improving Patient Safety and Surgeon Comfort in a Synergic Robot-Assisted Eye Surgery: A Comparative Study.Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems · 2019Article
- Towards securing the sclera against patient involuntary head movement in robotic retinal surgery.RO-MAN ... : the ... IEEE International Symposium on Robot and Human Interactive Communication : proceedings. IEEE International Symposium on Robot and Human Interactive Communication · 2019Article
- Sclera Force Evaluation During Vitreoretinal Surgeries in Ex Vivo Porcine Eye Model.Proceedings of IEEE Sensors. IEEE International Conference on Sensors · 2019Article
- Dual-Stiffness Force-Sensing Cannulation Tool for Retinal Microsurgery.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2019Article
- Adaptive Control of Sclera Force and Insertion Depth for Safe Robot-Assisted Retinal Surgery.IEEE International Conference on Robotics and Automation : ICRA : [proceedings]. IEEE International Conference on Robotics and Automation · 2019Article
- Sclera Force Control in Robot-assisted Eye Surgery: Adaptive Force Control vs. Auditory Feedback.... International Symposium on Medical Robotics. International Symposium on Medical Robotics · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
The performance of retinal microsurgery often requires the coordinated use of both hands. During bimanual retinal surgery, dominant hand performance may be negatively impacted by poor non-dominant hand assistance. Therefore understanding bimanual latent determinants, and establishing safety criteria for bimanual manipulation is relevant to robotic development and to eventual patient care. In this paper, we present a preliminary study to quantitatively evaluate one aspect of bimanual tool use in retinal surgery. Two force sensing tools were designed and fabricated using fiber Bragg grating sensors. Tool-to-sclera contact force is measured using the developed tools and analyzed. The tool forces were recorded during five basic surgical maneuvers typical of retinal surgery. Two subjects are involved in experiments, including one clinician and one engineer. For comparison, all manipulations were replicated under robot-assisted conditions. The results indicate that the average tool-to-sclera force recorded from the dominant hand tool is significantly higher than that from the non-dominant hand tool (
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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.