前臂假体控制问题中肌电信号特征信息量的估计

2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) Pub Date : 2018-05-01 DOI:10.1109/USBEREIT.2018.8384548

M. V. Markova, D. O. Shestopalov, A. Nikolaev

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引用次数: 9

摘要

研究了前臂假体控制问题中肌电信号特征信息量的估计问题。利用14个时域特征，采用Logistic回归对抓握、张开、屈曲、旋前和旋后六种手部动作进行分类。为了评估特征的重要性，使用线性回归系数。显示了大多数信息丰富的特征。

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Estimation of features informativeness of the EMG signal in the problem of forearm prosthesis controlling

In this study estimation of features informativeness of the EMG signal in the problem of forearm prosthesis controlling is considered. Logistic regression is used to classify six hand movements: grasping, opening, flexion, pronation and supination using fourteen time domain features. To evaluate the importance of features linear regression coefficients are used. Most informative features are shown.

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2018 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT)

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