An analysis of EMG electrode configuration for targeted muscle reinnervation based neural machine interface
An analysis of EMG electrode configuration for targeted muscle reinnervation based neural machine interface
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DOI：
10.1109/tnsre.2007.910282
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发表时间：
2008-02-01
影响因子：
4.9
通讯作者：
Kuiken, Todd A.
中科院分区：
文献类型：
--
作者：
Huang, He;Zhou, Ping;Kuiken, Todd A.
靶向肌肉神经再支配（TMR）是一种新型的神经机器接口，用于改进肌电假肢控制。以往的高密度表面肌电信号研究表明，通过肌电信号模式识别可以从再神经支配的肌肉中提取大量的神经控制信息。然而，使用大量的EMG电极阻碍了TMR技术的临床应用。本研究调查了减少的电极数量和所需的位置，以提取足够的神经控制信息，以准确识别用户的运动意图。将电极选择算法应用于来自四名TMR截肢者受试者中的每一个的HD EMG记录。结果表明，当仅使用12个选定的双极电极时，受试者对16种运动意图进行分类的平均准确度为93.0（+/- 3.3）%，仅比使用整个HD电极组时低1.2%。所选电极的位置与解剖神经再支配部位一致。此外，开发了一种用于临床电极放置的实用方案，该方案不依赖于复杂的HD EMG实验和分析，同时保持88.7 +/-4.5%的分类准确度。这些结果为实际电极放置提供了重要指导，可以促进TMR和EMG PR在多功能假体控制中的未来临床应用。
Targeted muscle reinnervation (TMR) is a novel neural machine interface for improved myoelectric prosthesis control. Previous high-density (HD) surface electromyography (EMG) studies have indicated that tremendous neural control information can be extracted from the reinnervated muscles by EMG pattern recognition (PR). However, using a large number of EMG electrodes hinders clinical application of the TMR technique. This study investigated a reduced number of electrodes and the placement required to extract sufficient neural control information for accurate identification of user movement intents. An electrode selection algorithm was applied to the HD EMG recordings from each of four TMR amputee subjects. The results show that when using only 12 selected bipolar electrodes the average accuracy over subjects for classifying 16 movement intents was 93.0 (+/- 3.3)%, just 1.2% lower than when using the entire HD electrode complement. The locations of selected electrodes were consistent with the anatomical reinnervation sites. Additionally, a practical protocol for clinical electrode placement was developed, which does not rely on complex HD EMG experiment and analysis while maintaining a classification accuracy of 88.7 +/- 4.5%. These outcomes provide important guidelines for practical electrode placement that can promote future clinical application of TMR and EMG PR in the control of multifunctional prostheses.