Quantification of Feature Space Changes With Experience During Electromyogram Pattern Recognition Control
Quantification of Feature Space Changes With Experience During Electromyogram Pattern Recognition Control
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DOI：
10.1109/tnsre.2011.2182525
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发表时间：
2012-05-01
影响因子：
4.9
通讯作者：
Kuiken, Todd A.
中科院分区：
文献类型：
--
作者：
Bunderson, Nathan E.;Kuiken, Todd A.
肌电图（EMG）的模式识别已在实验室中被证明是一种成功的替代传统的控制方法的肌电假肢。模式识别控制依赖于机器和用户学习;用户学习生成不同类别的肌肉活动，而机器学习解释它们。随着经验的积累，用户可以学习通过减少类内变化或增加类间距离来生成不同的类。本研究的目的是确定这些策略最好地解释了受试者之间的差异，并没有使用模式识别控制的经验，在肌电图模式。我们比较了新手nonamputee科目与经验丰富的nonamputee科目的分类错误。我们发现，经过短暂接触的控制方法，分类错误的新手减少，虽然没有经验丰富的科目的水平。虽然新手的组内变异水平与有经验的受试者相似，但他们没有达到相同的组间距离水平。这些差异可用于指导急需的康复方法的开发，以训练受试者使用模式识别设备。特别是，我们建议强调增加类间距离的训练协议。
Pattern recognition of the electromyogram (EMG) has been demonstrated in the laboratory to be a successful alternative to conventional control methods for myoelectric prostheses. Pattern recognition control is dependent upon both machine and user learning; the user learns to generate distinct classes of muscle activity while the machine learns to interpret them. With experience, users may learn to generate distinct classes by reducing intraclass variability or by increasing interclass distance. The goal of this study was to identify which of these strategies best explained differences in EMG patterns between subjects with and without experience using pattern recognition control. We compared classification errors of novice nonamputee subjects with experienced nonamputee subjects. We found that after brief exposure to the control method, classification error in novices was reduced, although not to the level of experienced subjects. While the level of intraclass variability in novices was similar to that of the experienced subjects, they did not achieve the same level of interclass distance. These differences can be used to guide the development of much needed rehabilitation methods to train subjects to use pattern recognition devices. In particular we recommend training protocols that emphasize increasing the interclass distance.