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Real-time detection of the EEG using a two-component wave model

✍ Scribed by Arthur J. Lim; Wallace D. Winters

Publisher: Elsevier Science
Year: 1980
Weight: 613 KB
Volume: 11
Category: Article
ISSN: 0010-468X
DOI: 10.1016/0010-468x(80)90081-1

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✦ Synopsis

The EEG signal is modeled as consisting of faster, smaller waves superimposed on slower, larger waves. A program, written for the Data General Corporation NOVA series of minicomputers, is described. It performs the continuous detection, in real-time, of both wave types for a simple, quantified characterization of the EEG. The program was written as a special User Clock Routine which is part of a larger multitask package which also provides continuous real-time analysis of the EEG and provides simultaneous line printer, analog and graphical outputs.

Continuous EEG

Minicomputer Peak and zero-cross detection Real-time analysis Superimposed fast waves

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