Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4958287 | Computer Methods and Programs in Biomedicine | 2016 | 11 Pages |
Abstract
Classification results obtained by GSWâ+âKNN are encouraging and better than previously published results. In the spatial distribution of features, we find that left parietotemporal lobe in beta EEG frequency band has greater effect on mild depression detection. And fewer EEG channels (FP1, FP2, F3, O2 and T3) combined with linear features may be good candidates for usage in portable systems for mild depression detection.
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Authors
Xiaowei Li, Bin Hu, Shuting Sun, Hanshu Cai,