EMG-based simultaneous and proportional estimation of wrist/hand kinematics in uni-lateral trans-radial amputees.
EMG-based simultaneous and proportional estimation of wrist/hand kinematics in uni-lateral trans-radial amputees.
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DOI：
10.1186/1743-0003-9-42
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发表时间：
2012-06-28
影响因子：
5.1
通讯作者：
Farina D
中科院分区：
文献类型：
--
作者：
Jiang N;Vest-Nielsen JL;Muceli S;Farina D
我们提出了一种通过多通道表面肌电图 (EMG) 估计动态手腕收缩期间手腕运动学的方法。该算法从表面 EMG 中提取特征，并使用专用的多层感知器网络来估计手腕 3 个自由度 (DoF) 的各个关节角度。该方法的设计目的是单侧截肢者对主动假肢的多个自由度进行比例同步控制。因此，所提出的方法在单侧经桡动脉截肢者和肢体完整的对照受试者中进行了测试。结果表明，在镜像双边收缩期间，截肢者 3 个 DoF 处的关节角度可以通过表面肌电图记录来估计，同时并按比例铰接 3 个 DoF。具有长残肢的截肢受试者在所有 3 个自由度上的估计准确度为 62.5% ± 8.50%，而肢体完整的对照受试者的准确度为 72.0% ± 8.29%。来自肢体完整的受试者的估计结果与早期的研究一致。当前研究的结果证明了所提出的肌电控制方法的可行性，为单侧经桡动脉截肢者提供更直观的肌电控制策略。
We propose a method for estimating wrist kinematics during dynamic wrist contractions from multi-channel surface electromyography (EMG). The algorithm extracts features from the surface EMG and uses dedicated multi-layer perceptron networks to estimate individual joint angles of the 3 degrees of freedom (DoFs) of the wrist. The method was designed with the aim of proportional and simultaneous control of multiple DoFs of active prostheses by unilateral amputees. Therefore, the proposed approach was tested in both unilateral transradial amputees and in intact-limbed control subjects. It was shown that the joint angles at the 3 DoFs of amputees can be estimated from surface EMG recordings , during mirrored bi-lateral contractions that simultaneously and proportionally articulated the 3 DoFs. The estimation accuracies of amputee subjects with long stumps were 62.5% ± 8.50% across all 3 DoFs, while accuracies of the intact-limbed control subjects were 72.0% ± 8.29%. The estimation results from intact-limbed subjects were consistent with earlier studies. The results from the current study demonstrated the feasibility of the proposed myoelectric control approach to provide a more intuitive myoelectric control strategy for unilateral transradial amputees.
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影响因子：
5.3
作者：
d'Avella, Andrea;Portone, Alessandro;Lacquaniti, Francesco
通讯作者：
Lacquaniti, Francesco
影响因子：
168.9
作者：
Kuiken, Todd A.;Miller, Laura A.;Dumanian, Gregory A.
通讯作者：
Dumanian, Gregory A.
影响因子：
4.6
作者：
Jiang, Ning;Englehart, Kevin B.;Parker, Philip A.
通讯作者：
Parker, Philip A.
影响因子：
4.7
作者：
Rossini, Paolo M.;Micera, Silvestro;Dario, Paolo
通讯作者：
Dario, Paolo
DOI：
10.1109/tnsre.2009.2023282
发表时间：
2009-06
期刊：
IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
影响因子：
--
作者：
Sensinger JW;Lock BA;Kuiken TA
通讯作者：
Kuiken TA