Non-weight-bearing neural control of a powered transfemoral prosthesis.
Non-weight-bearing neural control of a powered transfemoral prosthesis.
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DOI：
10.1186/1743-0003-10-62
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发表时间：
2013-06-19
影响因子：
5.1
通讯作者：
Kuiken TA
中科院分区：
文献类型：
--
作者：
Hargrove LJ;Simon AM;Lipschutz R;Finucane SB;Kuiken TA
传统上，假肢是没有电子控制系统的机械被动装置。微处理器控制的无源和有源设备最近受到了临床和研究界的极大关注。这些设备的控制系统通常使用有限状态控制器来解释从假体中嵌入的机械传感器测量的数据。在本文中，我们研究了一种控制系统，该系统依靠从肌电信号中提取的信息来控制截肢者坐着时的假肢。仅使用从9块大腿残馀肌肉测量的肌电信号，就可以在虚拟环境和驱动的跨股动脉假体上准确地识别和控制膝关节和脚踝的矢状面运动(90%)。患者还展示了在虚拟环境中对股骨和胫骨旋转自由度的准确(~90%)控制。完成了通道子集调查，结果表明只需要五块剩余的大腿肌肉就可以实现准确的控制。这项研究是我们长期目标的第一步，即在经股动脉截肢患者的负重和非负重活动中实施对假肢的肌电控制。
Lower limb prostheses have traditionally been mechanically passive devices without electronic control systems. Microprocessor-controlled passive and powered devices have recently received much interest from the clinical and research communities. The control systems for these devices typically use finite-state controllers to interpret data measured from mechanical sensors embedded within the prosthesis. In this paper we investigated a control system that relied on information extracted from myoelectric signals to control a lower limb prosthesis while amputee patients were seated. Sagittal plane motions of the knee and ankle can be accurately (>90%) recognized and controlled in both a virtual environment and on an actuated transfemoral prosthesis using only myoelectric signals measured from nine residual thigh muscles. Patients also demonstrated accurate (~90%) control of both the femoral and tibial rotation degrees of freedom within the virtual environment. A channel subset investigation was completed and the results showed that only five residual thigh muscles are required to achieve accurate control. This research is the first step in our long-term goal of implementing myoelectric control of lower limb prostheses during both weight-bearing and non-weight-bearing activities for individuals with transfemoral amputation.
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影响因子：
2.4
作者：
DeVita, P;Torry, M;Speroni, DL
通讯作者：
Speroni, DL
影响因子：
5.1
作者：
Hargrove, Levi;Englehart, Kevin;Hudgins, Bernard
通讯作者：
Hudgins, Bernard
DOI：
10.1109/tnsre.2011.2182525
发表时间：
2012-05-01
影响因子：
4.9
作者：
Bunderson, Nathan E.;Kuiken, Todd A.
通讯作者：
Kuiken, Todd A.
影响因子：
4.6
作者：
Hargrove, Levi;Zhou, Ping;Kuiken, Todd A.
通讯作者：
Kuiken, Todd A.
DOI：
10.1115/1.3426293
发表时间：
1977-01-01
影响因子：
1.7
作者：
GRIMES, DL;FLOWERS, WC;DONATH, M
通讯作者：
DONATH, M