Mining information from event-related recordings.

In this article we describe a signal-processing framework for mining information from event-related recordings. Pattern-analytic tools are combined with graph-theoretic techniques and signal understanding methodologies in a user-friendly environment with the scope of learning, parameterization, and...

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Pubblicato in:	IEEE Signal processing magazine 21, 3 (2004).
Autore principale:	Laskaris, N.A
Natura:	Articolo
Lingua:	English
Soggetti:	N70m. Clustering. Data mining. Event-related recordings. Feature extraction. Graph-theoretic parameterization. Graph-theory. Intelligent single-trial analysis. Knowledge discovery databases. Minimal spanning tree. Multichannel encephalographic recordings. Neuromagnetic response. Pattern analysis. Pattern extraction. Response variability. Signal processing. User-friendly framework. Vector quantization. Visualization.