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. 2012:2012:5250-3.
doi: 10.1109/EMBC.2012.6347178.

Promise of a low power mobile CPU based embedded system in artificial leg control

Robert Hernandez  1 , Fan Zhang, Xiaorong Zhang, He Huang, Qing Yang
Affiliations

Promise of a low power mobile CPU based embedded system in artificial leg control

Robert Hernandez et al. Annu Int Conf IEEE Eng Med Biol Soc. 2012.

Abstract

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.

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Figures

Figure 1
Figure 1
Intel Atom™ mobile CPU size compared to a United States penny (a United States penny is approximately 19.05 millimeters in diameter)
Figure 2
Figure 2
Phase-dependant PR algorithmic data flow
Figure 3
Figure 3
Software implementation data flow
See this image and copyright information in PMC

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