Promise of a low power mobile CPU based embedded system in artificial leg control.
Promise of a low power mobile CPU based embedded system in artificial leg control.
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DOI：
10.1109/embc.2012.6347178
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Yang Q
中科院分区：
文献类型：
--
作者：
Hernandez R;Zhang F;Zhang X;Huang H;Yang Q
本文介绍了一个低功耗嵌入式系统的设计和实现，采用移动的处理器技术（英特尔凌动™ Z530处理器），专门为假肢的神经-机器接口（NMI）。这个嵌入式系统有效地执行我们以前开发的NMI算法的神经肌肉机械融合和相位相关的模式分类的基础上。分析表明，NMI嵌入式系统能够满足实时性要求，对用户的运动模式识别精度较高。我们的实现利用移动的处理器有效地允许2.2瓦的功耗和低CPU利用率（小于4.3%），同时执行复杂的NMI算法。我们的实验表明，高度优化的C程序的嵌入式系统上的实现有极好的优势，现有的PC实现MATLAB。研究结果表明，基于移动CPU的嵌入式系统是有希望实现先进的控制动力下肢假肢。
This paper presents the design and implementation of a low power embedded system using mobile processor technology (Intel Atom™ Z530 Processor) specifically tailored for a neural-machine interface (NMI) for artificial limbs. This embedded system effectively performs our previously developed NMI algorithm based on neuromuscular-mechanical fusion and phase-dependent pattern classification. The analysis shows that NMI embedded system can meet real-time constraints with high accuracies for recognizing the user's locomotion mode. Our implementation utilizes the mobile processor efficiently to allow a power consumption of 2.2 watts and low CPU utilization (less than 4.3%) while executing the complex NMI algorithm. Our experiments have shown that the highly optimized C program implementation on the embedded system has superb advantages over existing PC implementations on MATLAB. The study results suggest that mobile-CPU-based embedded system is promising for implementing advanced control for powered lower limb prostheses.