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PubMed · 511378

Microprocessor-based EEG spike detection and quantification.

J D Frost
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Abstract

A microprocessor-based system for the detection and quantification of sharp EEG waveforms is described. The hierarchical approach utilises initial transient detection based on computation of a second-derivative measure of curvature, followed by pattern-recognition and artifact-rejection routines based on consideration of specific waveform parameters. Initials results demonstrate an ability to approximate human-analysis results, while providing precise measures of amplitude, duration, and sharpness. The decreasing cost of microprocessors makes multichannel configurations economically feasible.

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Analog-Digital ConversionComputersDouble-Blind MethodElectroencephalographyEvaluation Studies as TopicHumansMicrocomputersPattern Recognition, AutomatedJournal ArticleResearch Support, U.S. Gov't, P.H.S.

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BibTeXRIS

J D Frost. 1979. Microprocessor-based EEG spike detection and quantification.. https://doi.org/10.1016/0020-7101(79)90051-5

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PubMed1992

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