Automated Epileptic Seizure Detection in Scalp EEG Based on Spatial-Temporal Complexity

<div>The continuous scalp EEG recordings with a seizure in Patient <span class="nowrap"><svg height="8.43779pt" id="M53" style="vertical-align:-0.04980946pt" version="1.1" viewbox="-0.0498162 -8.38798 8.99888 8.43779" width="8.99888pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M303 0V28C221 34 213 39 213 125V525C213 610 221 616 303 622V650H38V622C120 616 128 610 128 525V125C128 40 120 34 38 28V0H303Z" id="g121-71"></path></g><g transform="matrix(.013,0,0,-0.013,4.433,0)"><path d="M303 0V28C221 34 213 39 213 125V525C213 610 221 616 303 622V650H38V622C120 616 128 610 128 525V125C128 40 120 34 38 28V0H303Z" id="g121-71"></path></g></svg>.</span> The EEG channels (P8-O2, FT9-FT10) involved in a seizure were marked as red.</div>

Complexity

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Figure 3

Figure 3: Automated Epileptic Seizure Detection in Scalp EEG Based on Spatial-Temporal Complexity 