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

Volume

2

fYear

1999

fDate

1999

Firstpage

1105

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1999. 42nd Midwest Symposium on

Conference_Location

Las Cruces, NM

Print_ISBN

0-7803-5491-5

Type

conf

DOI

10.1109/MWSCAS.1999.867830

Filename

867830