Real-time digital signal processing of electroneurographic signals

Author

Upshaw, Barry J. ; Sinkjær, Thomas

Author_Institution

Center for Sensory-Motor Interactions, Aalborg Univ., Denmark

fYear

1994

fDate

1994

Firstpage

1346

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IEMBS.1994.415465

Filename

415465