View source for Exploratory data analysis by genetic feature extraction

{{ProjectProposal
|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.

*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)
|tutor=MatteoMatteucci; BernardoDalSeno
|start=2009/10/01
|studmin=1
|studmax=2
|cfumin=5
|cfumax=20
|resarea=BioSignal Analysis
|restopic=Brain-Computer Interface
|level=Ms
|type=Course; Thesis
|status=Active
}}