Title :
Promise of a low power mobile CPU based embedded system in artificial leg control
Author :
Hernandez, Roberto ; Fan Zhang ; Xiaorong Zhang ; He Huang ; Qing Yang
Author_Institution :
Dept. of Electr., Comput. & Biomed. Eng., Univ. of Rhode Island, Kingston, RI, USA
fDate :
Aug. 28 2012-Sept. 1 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.
Keywords :
C language; artificial limbs; brain-computer interfaces; control engineering computing; embedded systems; mathematics computing; mobile computing; pattern classification; C program implementation; Intel Atom Z530 processor; MATLAB; NMI algorithm; artificial leg control; artificial limbs; low power mobile CPU based embedded system; mobile processor technology; neural-machine interface; neuromuscular-mechanical fusion; phase-dependent pattern classification; power 2.2 W; powered lower limb prosthesis; user locomotion mode recognition; Accuracy; Embedded systems; Feature extraction; Hardware; Mobile communication; Real-time systems; Support vector machines; Neural-machine interface; control of artificial limbs; embedded system; real-time system; support vector machine; Artificial Limbs; Electric Power Supplies; Electromyography; Equipment Design; Equipment Failure Analysis; Microcomputers; Muscle Contraction; Muscle, Skeletal; Robotics; Therapy, Computer-Assisted;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-4119-8
Electronic_ISBN :
1557-170X
DOI :
10.1109/EMBC.2012.6347178
