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Accuracy of three different techniques for automatically estimating innervation zone location

机译:自动估计神经支配区域位置的三种不同技术的准确性

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摘要

The purpose of this study was to compare the accuracy of the estimated innervation zone (IZ) locations obtained from cross-correlation, the minimum amplitude, and maximum center frequency criteria. Eight healthy men (mean ± SD age = 23.0 ± 4.3 yrs) performed isometric muscle actions of the leg extensors, and 15 separate bipolar surface electromyographic (EMG) signals were detected from the vastus lateralis. A custom software program was used to estimate the location of the IZ based on: (1) the EMG channel that demonstrated the lowest amplitude, (2) the EMG channel that showed the highest mean frequency, and (3) the EMG channel that demonstrated the lowest peak cross-correlation between the signals from adjacent channels. The IZ location estimates from the lowest amplitude and highest mean frequency criteria were accurate in only 43.75% and 7.5% of the cases, respectively. The accuracy of the cross-correlation-based method was 90%. The cross-correlation-based method was much more accurate for estimating IZ location than were the lowest amplitude and highest mean frequency criteria. Cross-correlation could potentially be used for estimating the location of the IZ without the need for visual inspection of EMG signals.
机译:这项研究的目的是比较从互相关,最小幅度和最大中心频率标准获得的估计神经支配区域(IZ)位置的准确性。八名健康男性(平均±SD年龄= 23.0±4.3岁)进行了腿部伸肌的等轴测肌动作,并从股外侧肌中检测到15个单独的双极表面肌电图(EMG)信号。使用定制软件程序基于以下条件估算IZ的位置:(1)显示最低振幅的EMG通道,(2)显示最高平均频率的EMG通道,以及(3)显示EMG通道的EMG通道。相邻通道信号之间的最低峰值互相关。根据最低幅度和最高平均频率标准进行的IZ位置估计分别仅在43.75%和7.5%的情况下是准确的。基于互相关的方法的准确性为90%。与最小幅度和最高平均频率准则相比,基于互相关的方法在估计IZ位置时更加准确。互相关可以潜在地用于估计IZ的位置,而无需目测EMG信号。

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