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Data fusion of Electromyography signals from intraoperative nerve monitoring and position information from surgical navigation

机译:术中神经监测的肌电信号和手术导航的位置信息的数据融合

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This article presents a new method for the data fusion of the intraoperative Electromyography (EMG) signals from a nerve monitor with the position information from a surgical navigation system. In principle, EMG signals and the position information are merged with each other based on the distance-threshold relationship. The merged information can be used to control the power of active surgical instruments intelligently or to improve the surgeon's orientation in operating field during challenging interventions on temporal bones. One part of the described method for stimulation modeling was also verified in an experiment under simplified laboratory conditions. The results show an approximate agreement between the modeled and the measured “distance-threshold” relationship till 2 mm. The curve fitting of the measured and modeled data indicates that a quadratic relationship fits better in the data than a cubic.
机译:本文提出了一种新的方法,用于将来自神经监护仪的术中肌电图(EMG)信号与来自手术导航系统的位置信息进行数据融合。原则上,EMG信号和位置信息基于距离阈值关系相互合并。合并后的信息可用于智能地控制活动外科手术器械的功能,或在对颞骨进行具有挑战性的干预过程中改善外科医生在手术领域的定位。在简化的实验室条件下的实验中也验证了所描述的用于刺激建模的方法的一部分。结果表明,建模的和测得的“距离-阈值”关系直到2 mm之间近似吻合。测量和建模数据的曲线拟合表明,二次关系比三次关系更适合数据。

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