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Exploratory data analysis by genetic feature extraction
PrjCFUMax 20  +
PrjCFUMin 5  +
PrjDescription Understanding the waves in EEG signals is … 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. *B. Dal Seno, M. Matteucci, and L. Mainardi. "A genetic algorithm for automatic feature extraction in P300 detection" (http://home.dei.polimi.it/dalseno/papers/2008/ijcnn08.pdf) *B. Dal Seno, M. Matteucci, L. Mainardi, F. Piccione, and S. Silvoni. "Single-trial P300 detection in healthy and ALS subjects by means of a genetic algorithm" (http://home.dei.polimi.it/dalseno/papers/2008/grazGa08.pdf) olimi.it/dalseno/papers/2008/grazGa08.pdf)
PrjImage Image:Evolve1at300dpi.gif  +
PrjLevel Master of Science +
PrjResArea BioSignal Analysis +
PrjResTopic Brain-Computer Interface +
PrjStarts 1 October 2009  +
PrjStatus Closed  +
PrjStudMax 2  +
PrjStudMin 1  +
PrjTitle Exploratory data analysis by genetic feature extraction  +
PrjTutor User:MatteoMatteucci +
PrjType Course + , Thesis +
Categories ProjectProposal  +
Modification¬†dateThis property is a special property in this wiki. 26 April 2011 15:36:53  +
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