EEG CHARACTERIZATION USING NONLINEAR SIGNATURES | Zendy

Ibiyinka Fuwape | Zendy; Samuel Ogunjo | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

EEG CHARACTERIZATION USING NONLINEAR SIGNATURES

Author(s) -

Ibiyinka Fuwape,

Samuel Ogunjo

Publication year - 2016

Publication title -

frontiers in human neuroscience

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 1.128

H-Index - 114

ISSN - 1662-5161

DOI - 10.3389/conf.fnhum.2016.220.00010

Subject(s) - hurst exponent , detrended fluctuation analysis , electroencephalography , recurrence quantification analysis , pattern recognition (psychology) , computer science , nonlinear system , chaotic , artificial intelligence , correlation dimension , support vector machine , range (aeronautics) , wavelet , variance (accounting) , epilepsy , fractal , statistics , mathematics , neuroscience , psychology , fractal dimension , physics , engineering , mathematical analysis , accounting , scaling , business , aerospace engineering , geometry , quantum mechanics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research