“…Earlier, Smith [58] reported that EEG signals are normal during the early stage of AD, but as the disease progresses, alpha waves disappear and slow waves become more apparent. In some cases, periodic sharp Bhat [48,64,65] have advanced the idea that adroit integration of three computing paradigms, time-frequency signal processing [66][67][68] , chaos theory and nonlinear methods [69,70] , and pattern recognition techniques such as artificial neural networks [71][72][73] is the best approach to analyze nonstationary and highly chaotic signals. Significant features can be extracted by nonlinear dynamics and classified using different data-mining techniques and neural networks [74] .…”