Difference between revisions of "Exploratory data analysis by genetic feature extraction"
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Latest revision as of 16:36, 26 April 2011
| Title: | Exploratory data analysis by genetic feature extraction |  Image:Evolve1at300dpi.gif |
| Description: | Understanding the waves in EEG signals is an hard task and psicologists often need automatic tools to perform this task. In this project we are interested in using a genetic algorithm developed for P300 feature extraction in order to extract useful informations from Error Potentials. The project is a collaboration with the psicology department od Padua University.
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| Tutor: | MatteoMatteucci (matteo.matteucci@polimi.it) | |
| Start: | 2009/10/01 | |
| Students: | 1 - 2 | |
| CFU: | 5 - 20 | |
| Research Area: | BioSignal Analysis | |
| Research Topic: | Brain-Computer Interface | |
| Level: | Ms | |
| Type: | Course, Thesis | |
| Status: | Closed |
