Data processing in EEG: Part 2. Discrete Fourier transformation
article
Discusses the application of Discrete Fourier Transformations (DFT) using harmonic analysis to EEG data. In applying DFT to spatial analysis, stationarity must be assumed, and the signals must be of finite duration. The signal must be sufficiently subdivided into smaller epochs of definite duration. A total epoch of at least 100 sec is suggested as necessary to perform adequate DFT analysis. Rhythmic artifacts are a problem in these analyses. The results of the DFT are spectral analyses of time segments of dominant frequency patterns. Implications for training EEG technicians in clinical neurophysiology are presented. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
Topics
TNO Identifier
228653
ISSN
00029238
Source
American Journal of EEG Technology, 19(1), pp. 9-17.
Pages
9-17
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