Automated diagnosis of autism: in search of a mathematical marker
Automated diagnosis of autism: in search of a mathematical marker
Shreya Bhat,U. R. Acharya,2 Authors,Amir Adeli
2014 · DOI: 10.1515/revneuro-2014-0036
Reviews in the Neurosciences · 68 Citations
TLDR
A combination of the time-frequency and nonlinear dynamic analysis is the most effective approach to characterize the nonstationary and chaotic physiological signals for the automated EEG-based diagnosis of autism spectrum disorder (ASD).