Title :
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
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;
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
DOI :
10.1109/IEMBS.1988.94834
