A Novel Framework Based on Position Verification for Robust Myoelectric Control Against Sensor Shift
A Novel Framework Based on Position Verification for Robust Myoelectric Control Against Sensor Shift
复制标题
基于位置验证的新型框架，用于针对传感器移位的鲁棒肌电控制
DOI：
10.1109/jsen.2019.2927325
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发表时间：
2019-11
影响因子：
4.3
通讯作者：
Jiang Ning
中科院分区：
文献类型：
--
作者：
He Jiayuan;Sheng Xinjun;Zhu Xiangyang;Jiang Ning
该研究提出了一种新的框架，以提高基于模式识别的肌电控制算法对传感器移位的鲁棒性，这是其在受控实验室条件外实际应用的障碍之一。与以往提出的方法主要着眼于提高移位条件下的分类性能不同，该框架提供了验证传感器位置是否移位的功能。如果是，则允许用户在影响以下控制之前调整传感器位置。我们证明了一次验证尝试可以在短时间（< 2 s）内完成，并具有高精度（等错误率，或EER< 5%）。通过位置验证，从理论上证明了控制性能的提高。手臂周围六个传感器的实验数据的模拟结果表明，通过改进的离散傅里叶变换（iDFT）功能，在大多数情况下，需要少于五次验证尝试（< 10 s）即可将传感器位置从垂直于肌肉纤维的1厘米位移中纠正过来。校正后的性能与包括来自预期换档位置的额外训练数据的传统方法相当。所提出的框架从有效位置校正的角度处理传感器移位问题，潜在地扩展了肌电控制，特别是臂带肌电控制在工业中的应用。
This study presented a novel framework to improve the robustness of pattern recognition-based myoelectric control algorithms against sensor shift, which was one of the obstacles for its practical applications outside controlled laboratory conditions. Different from the previous proposed methods, which mostly focused on improving the classification performance in the shift condition, this framework provided the functionality of verifying if the sensor position was shifted. If so, the user was enabled to adjust the sensor position before it affecting the following control. We demonstrated that one verification attempt could be completed in a short time (< 2 s) with a high accuracy (equal error rate, or EER< 5%). The control performance was theoretically proved to be improved after position verification. The simulated results of the experimental data from six sensors around the arm showed that with improved discrete Fourier transform (iDFT) feature, in most scenarios, smaller than five verification attempts (< 10 s) were needed to correct the sensor position from 1-cm shift perpendicular to muscle fibers. The performance after correction was comparable to that of a traditional method including additional training data from the expected shift positions. The proposed framework dealt with the sensor shift problem from the perspective of efficient position correction, potentially expanding the application of myoelectric control, especially with armband, in industry.
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影响因子：
5.1
作者：
Song R;Tong KY;Hu X;Zhou W
通讯作者：
Zhou W
DOI：
10.1109/tbme.2011.2159216
发表时间：
2011-09
期刊：
IEEE transactions on bio-medical engineering
影响因子：
--
作者：
Young AJ;Hargrove LJ;Kuiken TA
通讯作者：
Kuiken TA
影响因子：
5.1
作者：
Hargrove, Levi;Englehart, Kevin;Hudgins, Bernard
通讯作者：
Hudgins, Bernard
DOI：
--
发表时间：
1999
期刊：
--
影响因子：
--
作者：
H. Hermens;B. Freriks;R. Merletti;D. Stegeman;J. Blok;Günter Rau;Cathy Disselhorst-Klug;Göran Hägg;Ir H J B Hermens;Freriks
通讯作者：
H. Hermens;B. Freriks;R. Merletti;D. Stegeman;J. Blok;Günter Rau;Cathy Disselhorst-Klug;Göran Hägg;Ir H J B Hermens;Freriks
DOI：
10.1109/titb.2010.2040832
发表时间：
2010-05-01
影响因子：
--
作者：
Artemiadis, Panagiotis K.;Kyriakopoulos, Kostas J.
通讯作者：
Kyriakopoulos, Kostas J.