A Greedy Optimized Intelligent Framework for Early Detection of Alzheimer’s Disease Using EEG Signal

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_center" colspan="2">Parameter specifications</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Programming language</td><td class="align_center">MATLAB</td></tr><tr><td class="align_left">Version</td><td class="align_center">R 2020 b</td></tr><tr><td class="align_left">Operating system</td><td class="align_center">Windows 10</td></tr><tr><td class="align_left">Dataset type</td><td class="align_center">AD signal</td></tr><tr><td class="align_left">Signal type</td><td class="align_center">EEG</td></tr><tr><td class="align_left">Total EEG signals</td><td class="align_center">11500</td></tr><tr><td class="align_left">Objective</td><td class="align_center">Severity range prediction</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Details of execution parameters.</div>

Computational Intelligence and Neuroscience

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Table 1

Table 1: A Greedy Optimized Intelligent Framework for Early Detection of Alzheimer’s Disease Using EEG Signal 