Promise of a low power mobile CPU based embedded system in artificial leg control
Document Type
Conference Proceeding
Date of Original Version
12-14-2012
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. © 2012 IEEE.
Publication Title, e.g., Journal
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Citation/Publisher Attribution
Hernandez, Robert, Fan Zhang, Xiaorong Zhang, He Huang, and Qing Yang. "Promise of a low power mobile CPU based embedded system in artificial leg control." Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2012): 5250-5253. doi: 10.1109/EMBC.2012.6347178.