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APPLICATION OF THE INFORMATIVE FEATURE SELECTION ALGORITHM FOR EEG NOISE ELEMENTS ALLOCATION
Journal: Science and world (Vol.1, No. 30)Publication Date: 2016-02-18
Authors : Tuzovskiy A.A.; Mikhaylov A.S.; Muravyeva A.E.;
Page : 79-82
Keywords : EEG noise elements; informative features; statistical analysis; identification problem;
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Abstract
The article considers a universal feature selection algorithm for different algorithms of identification for use in biology and medicine. The advantages of the considered algorithm over the most popular analogue are specified. The algorithm modification to solve the problem of allocating independent noise components in EEG recording is considered. The main stages of its implementation within the ‘Statium’ statistics package are distingushed.
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Last modified: 2016-08-02 20:32:14