Intraoperative Neurological Monitoring System for Robot Assisted Minimally Invasive Spine Surgery Using Electromyography
Refereed conference paper presented and published in conference proceedings

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AbstractIn spine surgery, nerve complications are inevitable question for clinicians. Spinal surgery needs to monitor the complete function of the spinal cord and nerve root effectively. However, single neural electrophysiological monitoring technology has limited scope. Influenced by many factors such as anesthesia, blood pressure, body temperature, position, the variant neural signals need to be monitored in real-time by clinician. In this paper, we propose an intraoperative neurological monitoring system for robot assisted minimally invasive spine surgery using electromyography. Signal preprocessing, feature extraction, and decision making procedures have been applied to achieve automatic monitoring and early warning. We also designed the monitoring software interface, which shows the feature of the signals and the reference baseline. The injury probability will also provide to physicians for decision making. Experimental results verified the proposed method.
All Author(s) ListZhang Jia, Lu Wenwen, Jiang Chaoyan, Song Shuang, Meng Max Q.-H.
Name of Conference2017 IEEE International Conference on Information and Automation
Start Date of Conference18/07/2017
End Date of Conference20/07/2017
Place of ConferenceMacau, China
Country/Region of ConferenceMacau
Proceedings Title2017 IEEE International Conference on Information and Automation (IEEE ICIA 2017)
Place of PublicationUSA
Pages1150 - 1155
LanguagesEnglish-United States

Last updated on 2021-27-11 at 23:56