Title :
Graphical user interface for functional neuromuscular stimulation system
Author :
Brauer, Elizabeth J. ; Colvin, Joshua ; Abbas, James J.
Author_Institution :
Dept. of Electr. Eng., Northern Arizona Univ., Flagstaff, AZ, USA
Abstract :
The work described here is the graphical user interface, written in Visual C++, to customize a neural network used in Functional Neuromuscular Stimulation (FNS), a rehabilitative technology for individuals with neuromotor disorder. We are implementing the pattern shaper algorithm as a digital neural network in an FPGA-based system for low power, mobile clinical trials. The graphical user interface allows the user to easily compare various parameter sets of the pattern shaper algorithm
Keywords :
biocontrol; feedforward neural nets; field programmable gate arrays; graphical user interfaces; medical computing; neural chips; neurocontrollers; neuromuscular stimulation; table lookup; FPGA-based system; VHDL model; Visual C++; customized neural network; digital neural network; functional neuromuscular stimulation system; graphical user interface; hardware implementation; low power; mobile application; neuromotor disorders; pattern shaper algorithm; rehabilitative technology; table lookup; time-averaged learning algorithm; wire-wrapped board; Clinical trials; Field programmable gate arrays; Graphical user interfaces; Hardware; Muscles; Neural networks; Neurofeedback; Neuromuscular stimulation; Neurons; Software testing;
Conference_Titel :
Circuits and Systems, 1999. 42nd Midwest Symposium on
Conference_Location :
Las Cruces, NM
Print_ISBN :
0-7803-5491-5
DOI :
10.1109/MWSCAS.1999.867830
