Name
Title | ||
|---|---|---|
Common spatial pattern method for real-time eye state identification by using electroencephalogram signals. |
Abstract | ||
|---|---|---|
Cross-channel maximum and minimum are used to monitor real-time electroencephalogram signals in 14 channels. On detection of a possible change, multivariate empirical mode decomposed the last 2 s of the signal into narrow-band intrinsic mode functions. Common spatial pattern is then utilised to create discriminating features for classification purpose. Logistic regression, artificial neural networ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1049/iet-spr.2016.0520 | IET Signal Processing |
Keywords | Field | DocType |
electroencephalography,medical signal processing,neural nets,real-time systems,regression analysis,support vector machines | Common spatial pattern,Mathematical optimization,Pattern recognition,Multivariate statistics,Support vector machine,Communication channel,Artificial intelligence,Analytics,Artificial neural network,Logistic regression,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 8 | 1751-9675 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Saghafi | 1 | 3 | 1.75 |
| Chris P. Tsokos | 2 | 16 | 11.04 |
| Hamidreza Farhidzadeh | 3 | 1 | 1.71 |