Detection of Postictal Generalized Electroencephalogram Suppression: Random Forest Approach.
Xiaojin LiShiqiang TaoShirin Jamal-OmidiYan HuangSamden D LhatooGuo-Qiang ZhangLicong CuiPublished in: JMIR medical informatics (2020)
We introduced a feature-based, random forest approach for automatic PGES detection using multichannel EEG recordings. Our approach achieved increasingly better time distance-based performance with reduced signal artifact levels. Further study is needed for PGES detection algorithms to perform well irrespective of the levels of signal artifacts.