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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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