WSEAS Transactions on Biology and Biomedicine
Print ISSN: 1109-9518, E-ISSN: 2224-2902
Volume 21, 2024
A Statistical Method for EEG Channel Selection
Authors: ,
Abstract: A new statistical analysis of medical signals is proposed based on information extracted for diagnosis. Several specialized tests can be run on electroencephalography (EEG) signal due to its nonlinear behavior. Epileptic EEG signals are the main topic of this research. A statistics-based approach is proposed for the automatic selection of the relevant channels that will not only provide more accurate characterization but also require fewer computing resources. Moreover, the outcomes given by specific electrode pairs might indicate epileptic focus. By selecting the most efficient electrode placement, alarms for detecting inappropriate medical behavior could then be triggered.
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Keywords: EEG, epilepsy, channel selection, probability density function, cumulative distribution function, statistical methods
Pages: 339-344
DOI: 10.37394/23208.2024.21.34