@inproceedings{49c762d880c74161b8f5631044080765,
title = "Novel real-time Tremor Transduction Technique for Microsurgery",
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.",
author = "Damian Tomlin and Jeffrey Wallace and Ralph Etienne-Cummings and Nitish Thakor",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2001.; 4th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2001 ; Conference date: 14-10-2001 Through 17-10-2001",
year = "2001",
doi = "10.1007/3-540-45468-3_45",
language = "English (US)",
isbn = "3540426973",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "376--383",
editor = "Niessen, {Wiro J.} and Viergever, {Max A.}",
booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2001 - 4th International Conference, Proceedings",
}