Novel real-time Tremor Transduction Technique for Microsurgery

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Abstract

Physiological tremor is one of the limiting factors to the scale on which a microsurgeon can operate. The ability to correctly determine the amount of tremor a surgeon has is an invaluable tool both for tremor cancellation and for surgical training. For this reason we have developed a novel tremor transducer using a custom built VLSI motion detection chip connected to the surgical microscope. The chip detects and measures the magnified motion of a microsurgical tool tip under the microscope. This innovative design offers several advantages over conventional methods. It is nonintrusive to the surgeon - not interfering with current microsurgical set-ups; it outputs real-time tremor data, and is small and inexpensive. The system has been implemented in an experimental set-up for analysis of the factors that aggravate tremor. Results presented, include the use of the system as a audio feedback mechanism for tremor reduction - eliciting up to a 16% reduction in tremor.

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Tomlin, D., Wallace, J., Etienne-Cummings, R., & Thakor, N. (2001). Novel real-time Tremor Transduction Technique for Microsurgery. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2208, pp. 376–383). Springer Verlag. https://doi.org/10.1007/3-540-45468-3_45

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