Spatial filtering improves EMG classification accuracy following targeted muscle reinnervation.
Spatial filtering improves EMG classification accuracy following targeted muscle reinnervation.
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DOI：
10.1007/s10439-009-9737-7
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发表时间：
2009-09
影响因子：
3.8
通讯作者：
Kuiken, Todd
中科院分区：
文献类型：
--
作者：
Huang, He;Zhou, Ping;Li, Guanglin;Kuiken, Todd
靶向肌肉神经再支配（TMR）和肌电图（EMG）模式分类的组合为多功能肌电假肢控制显示出巨大的前景。在这项研究中，我们假设，表面肌电记录与高空间分辨率的神经支配的肌肉可以捕捉局部肌肉活动，并提高识别预期的运动的分类准确性。为了检验这一假设，招募了经肱骨或肩关节离断截肢的TMR受试者。空间滤波器，如单差分滤波器，双差分滤波器，和各种二维，高阶空间滤波器，并计算了15个不同的运动的分类精度。与单极记录相比，空间定位的EMG信号在识别TMR患者的运动意图，特别是手部运动方面产生了更高的准确性。当肌电信号数量限制为12时，双差分滤波器的分类准确率比空间分辨率较低的滤波器高5-15%，但与空间分辨率较高的滤波器的准确率相当。这些结果表明，双差分EMG记录可以进一步改善基于TMR的神经接口的鲁棒性，多功能控制的人工手臂。
The combination of targeted muscle reinnervation (TMR) and pattern classification of electromyography (EMG) has shown great promise for multifunctional myoelectric prosthesis control. In this study, we hypothesized that surface EMG recordings with high spatial resolution over reinnervated muscles could capture focal muscle activity and improve the classification accuracy of identifying intended movements. To test this hypothesis, TMR subjects with transhumeral or shoulder disarticulation amputations were recruited. Spatial filters such as single differential filters, double differential filters, and various two-dimensional, high-order spatial filters were used, and the classification accuracies for fifteen different movements were calculated. Compared with monopolar recordings, spatially localized EMG signals produced increased accuracy in identifying the TMR patients’ movement intents, especially for hand movements. When the number of EMG signals was constrained to 12, the double differential filters gave 5–15% higher classification accuracies than the filters with lower spatial resolution, but resulted in comparable accuracies to the filters with higher spatial resolution. These results suggest that double differential EMG recordings may further improve the TMR-based neural interface for robust, multifunctional control of artificial arms.
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影响因子：
2.2
作者：
Engelhart, K;Hudgins, B;Stevenson, M
通讯作者：
Stevenson, M
影响因子：
2.5
作者：
Parker, P.;Englehart, K.;Hudgins, B.
通讯作者：
Hudgins, B.
影响因子：
2.5
作者：
Zhou, Ping;Lowery, Madeleine M.;Kuiken, Todd A.
通讯作者：
Kuiken, Todd A.
影响因子：
168.9
作者：
Kuiken, Todd A.;Miller, Laura A.;Dumanian, Gregory A.
通讯作者：
Dumanian, Gregory A.
DOI：
10.1109/tnsre.2007.910282
发表时间：
2008-02-01
影响因子：
4.9
作者：
Huang, He;Zhou, Ping;Kuiken, Todd A.
通讯作者：
Kuiken, Todd A.