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Adaptive Information Technology for Recurrent Laryngeal Nerve Identification Based on Electrophysical Method of Its Stimulation

机译:基于电神法的刺激的复发性喉神经识别自适应信息技术

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摘要

The paper represents an informational technology for recurrent laryngeal nerve (RLN) monitoring among the tissues of a surgical wound. The technique for applying the electrophysiological method for surgery wound tissue stimulation is described in detail as well as an assessment of the reaction on this stimulation. The main principles for adapting the parameters of this method to the specific patient are outlined. To estimate the reaction on the stimulation and define the distance from the stimulation point to its closest placement point, the spectral analysis of the informational signal is used. The approbation results of the applied technique during the thyroid surgery are described
机译:本文代表了手术伤口组织中复发性喉神经(RLN)监测的信息技术。详细描述了用于施加手术伤口组织刺激的电生理方法的技术,以及对该刺激反应的评估。概述了适应该方法参数到特定患者的主要原理。为了估算刺激上的反应并将与刺激点的距离定义到其最接近的放置点,使用信息信号的光谱分析。描述了在甲状腺手术期间所施加技术的认可结果

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