Name
Abstract | ||
|---|---|---|
•Monitoring multivariate EEG signals in real-time for possible change of the eye state.•Use of data-driven methods that can handle multivariate, non-linear, and non-stationary signals.•Fast eye state change detection with high accuracy.•Huge improvement in comparison to published studies. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.eswa.2016.12.010 | Expert Systems with Applications |
Keywords | Field | DocType |
Eye state detection,Classification,Multidimensional empirical mode decomposition,Logistic regression,Artificial Neural Network,Support Vector Machine | Data mining,Change detection,Pattern recognition,Computer science,Support vector machine,Communication channel,Multivariate empirical mode decomposition,Artificial intelligence,Artificial neural network,Logistic regression,Machine learning,Electroencephalography | Journal |
Volume | Issue | ISSN |
72 | C | 0957-4174 |
Citations | PageRank | References |
1 | 0.36 | 2 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Saghafi | 1 | 3 | 1.75 |
| Chris P. Tsokos | 2 | 16 | 11.04 |
| Mahdi Goudarzi | 3 | 1 | 0.36 |
| Hamidreza Farhidzadeh | 4 | 1 | 1.71 |