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Automatic Location Of Muscle Innervation Zones From Multi-Channel Surface EMG Signals

机译:来自多通道表面EMG信号的肌肉支架区域的自动位置

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The purpose of the study was the non invasive investigation of the innervation zone (IZ) location of the gracilis muscle of both thighs by means of surface electromyography (EMG). Multichannel EMG signals were detected by means of a flexible array of 16 equally spaced silver bar electrodes. Tests were performed on both gracilis muscles on 15 subjects. The locations of the innervation zones of the active MUs were automatically identified by means of an algorithm based on the Radon Transform. A statistically significant difference was found between the gracilis IZ position in the two sides, with more proximal IZs on the left side. This difference suggests a possible role of sEMG in preoperative evaluation of patients prepared for the dynamic graciloplasty procedure. This test would provide an objective criterion for the choice of the gracilis muscle to be transposed with the highest probability of success.
机译:该研究的目的是通过表面电学(EMG)对大腿的Gracilis肌肉的内脏肌肉(IZ)位置的非侵入性研究。通过柔性阵列的16个等间隔的银条电极来检测多通道EMG信号。在15个受试者上对Gracilis肌肉进行测试。通过基于Radon变换的算法自动识别活性蘑菇的支撑区域的位置。在两侧的Gracilis Iz位置之间发现了统计学上的显着差异,左侧有更多的近端Iz。这种差异表明SEMG在为动态Graciloplasty程序编制的患者的术前评估中可能作用。该测试将提供用于选择Gracilis肌肉的客观标准,以通过成功的最高概率转换。

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