基于电生理自适应调节的喉返神经识别信息技术

2020 10th International Conference on Advanced Computer Information Technologies (ACIT) Pub Date : 2020-09-01 DOI:10.1109/ACIT49673.2020.9209012

M. Dyvak, A. Dyvak, D. Osadchuk, Volodymyr Tymets, V. Shidlovsky, Larysa Kovalska

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引用次数: 1

摘要

本文介绍了喉返神经(RLN)在外科伤口组织监测中的信息技术。与现有技术不同的是，它采用电生理方法对患者进行自适应调节。电生理实验结果证明了该技术的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Information Technology for Recurrent Laryngeal Nerve Identification with Adaptive Adjustment of the Electrophysiological Method

Informational technology for recurrent laryngeal nerve (RLN) monitoring among the tissues of a surgical wound is represented in the paper. Unlike the existing technologies, it applies the adaptive adjustment of electrophysiological method for a patient. The results of electrophysiological experiments which prove the effectiveness of the suggested technology are demonstrated.

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2020 10th International Conference on Advanced Computer Information Technologies (ACIT)

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