Title :
Real-time digital signal processing of electroneurographic signals
Author :
Upshaw, Barry J. ; Sinkjær, Thomas
Author_Institution :
Center for Sensory-Motor Interactions, Aalborg Univ., Denmark
Abstract :
A battery powered, isolated, digital signal processor (DSP) based system was developed to extract real-time information from electroneurographic (ENG) signals received from a nerve-cuff electrode implanted around the sural nerve of a human subject. The processed ENG signal, acting as an indication of foot contact, has been used to control a functional electrical stimulator (FES) system, in an attempt to correct “drop-foot” gait in a hemiplegically paralyzed, spastic patient. A significant improvement in signal-to-noise ratio over a previous system that was based solely on analog electronics has been achieved through the use of digitally implemented Bessel filters, rectification, and integration
Keywords :
medical signal processing; Bessel filters; analog electronics; battery powered isolated system; drop-foot gait correction; electroneurographic signals; foot contact indication; functional electrical stimulator system; hemiplegically paralyzed spastic patient; human subject sural nerve; implanted nerve-cuff electrode; real-time digital signal processing; real-time information extraction; signal-to-noise ratio improvement; Batteries; Contacts; Data mining; Digital signal processing; Digital signal processors; Electrodes; Foot; Humans; Real time systems; Signal processing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.415465
