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Advanced Handheld Micro-Surgical System using an Hall Sensor and a Magnet Trocar for Retinal Microsurgery
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Title
Advanced Handheld Micro-Surgical System using an Hall Sensor and a Magnet Trocar for Retinal Microsurgery
Issued Date
2024-10-17
Citation
Lee, Myung Ho. (2024-10-17). Advanced Handheld Micro-Surgical System using an Hall Sensor and a Magnet Trocar for Retinal Microsurgery. IEEE/RSJ International Conference on Intelligent Robots and Systems, 10621–10627. doi: 10.1109/IROS58592.2024.10802576
Type
Conference Paper
ISBN
9798350377705
ISSN
2153-0866
Abstract
Diseases affecting the retina, such as retinal detachment, diabetic retinopathy, and macular degeneration, are significant contributors to blindness globally, with a substantial risk of vision loss among those afflicted. Surgical treatment of these conditions is complex due to the delicate nature of retinal tissue and the challenges posed by involuntary hand movements. While existing methods aim to compensate for hand tremors using sensor-based systems, they are hindered by limitations in accurately tracking retinal surface movement during surgery, particularly in response to patient movements under anesthesia. To address these issues, this study proposes a novel handheld micro-surgical tool equipped with a 1-degree of freedom (DOF) mechanism and a 3-axis Hall sensor to mitigate physiological hand tremors effectively. By utilizing magnetic flux density measurements, the tool can pinpoint the position of a magnet embedded within the surgical instrument, enabling precise tremor compensation without reliance on a global coordinate system. The design incorporates a piezoelectric (PZT) linear actuator and a Hall sensor for compactness and sensitivity. Optimization of the magnet's dimensions through simulation ensures optimal sensor performance. Experimental validation using artificial and ex-vivo porcine eye models demonstrates the tool's effectiveness in reducing hand tremors, suggesting potential enhancements in the safety and accuracy of retinal surgeries. For the desired positions from 4000 μm to 1000 μm, the RMS error of the synthetic eye model and porcine eye decreased from 71.10 μm to 33.27 μm and 71.36 μm to 33.39 μm, respectively. © 2024 IEEE.
URI
http://hdl.handle.net/20.500.11750/57863
DOI
10.1109/IROS58592.2024.10802576
Publisher
IEEE Robotics and Automation Society
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Song, Cheol송철

Department of Robotics and Mechatronics Engineering

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