Name
Abstract | ||
|---|---|---|
•We managed to classify emotions at a high classification accuracy.•A new state space called angle space was introduced for nonlinear EEG processing.•A new method based on Poincare planes was proposed to quantify AP.•Optimum Poincare planes were determined and different evaluation scenarios were considered.•The proposed method could be applied in other real-world applications. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.bspc.2020.101918 | Biomedical Signal Processing and Control |
Keywords | DocType | Volume |
Emotion classification,Electroencephalogram,Phase space reconstruction,Poincare intersections,Computational neuroscience | Journal | 59 |
ISSN | Citations | PageRank |
1746-8094 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Morteza Zangeneh Soroush | 1 | 0 | 0.34 |
| Keivan Maghooli | 2 | 1 | 4.08 |
| Seyed Kamaledin Setarehdan | 3 | 136 | 15.20 |
| Ali Motie Nasrabadi | 4 | 38 | 14.00 |