Promise of a low power mobile CPU based embedded system in artificial leg control.
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.
Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI 02881, USA.
Robert
R
Hernandez
Fan
F
Zhang
Xiaorong
X
Zhang
He
H
Huang
Qing
Q
Yang
D001186:Artificial Limbs; D011211:Electric Power Supplies; D004576:Electromyography / Q000379:methods*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D008838:Microcomputers; D009119:Muscle Contraction / Q000502:physiology*; D018482:Muscle, Skeletal / Q000503:physiopathology*; D012371:Robotics / Q000295:instrumentation*; D013813:Therapy, Computer-Assisted / Q000295:instrumentation* / Q000379:methods