An embedded controller for a 7-degree of freedom prosthetic arm.
We present results from an embedded real-time hardware system capable of decoding surface myoelectric signals (sMES) to control a seven degree of freedom upper limb prosthesis. This is one of the first hardware implementations of sMES decoding algorithms and the most advanced controller to-date. We compare decoding results from the device to simulation results from a real-time PC-based operating system. Performance of both systems is shown to be similar, with decoding accuracy greater than 90% for the floating point software simulation and 80% for fixed point hardware and software implementations.
Tenore
Francesco
F
The Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA. francesco.tenore@jhuapl.edu
Armiger
Robert S
RS
Vogelstein
R Jacob
RJ
Wenstrand
Douglas S
DS
Harshbarger
Stuart D
SD
Englehart
Kevin
K
D001132:Arm; D001186:Artificial Limbs; D017076:Computer-Aided Design; D004576:Electromyography / Q000295:instrumentation*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006801:Humans; D008328:Man-Machine Systems; D015203:Reproducibility of Results; D012371:Robotics / Q000295:instrumentation*; D012680:Sensitivity and Specificity; D013813:Therapy, Computer-Assisted / Q000295:instrumentation* / Q000379:methods