A real-time multichannel DSP-based neural signal analysis system

Author

Willming, D.A. ; Wheeler, B.C.

Author_Institution

Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA

fYear

1988

fDate

4-7 Nov. 1988

Firstpage

1169

Abstract

A prototype system for real-time analysis of multineuron waveforms has been developed. The system incorporates a third-generation digital signal processor for performing simultaneous real-time detection and classification of neural firing activity on several input channels. The model system contains four input channels, but a study has shown that such a system may be capable to up to eight input channels per DSP. The processor has been programmed to perform the peak windowing, template matching, and principal components classification algorithms. The authors discuss the system that has been developed and present several performance figures for it.<>

Keywords

bioelectric potentials; computerised signal processing; medical computing; neurophysiology; classification; multineuron waveforms; neural firing activity; peak windowing; principal components classification algorithms; real-time detection; real-time multichannel DSP-based neural signal analysis system; template matching; third-generation digital signal processor;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1988. Proceedings of the Annual International Conference of the IEEE

Conference_Location

New Orleans, LA, USA

Print_ISBN

0-7803-0785-2

Type

conf

DOI

10.1109/IEMBS.1988.94834

Filename

94834