Algorithmic clustering based on string compression to extract P300 structure in EEG signals

•String-based approach to convert EEG signals into suitable objects for NCD analysis.•Methodology for structural P300-ERP identification through clustering by compression.•Normalized Compression Distance (NCD) extracts the main structure of P300-ERP on EEG signals.•Two distinct NCD-driven clustering...

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Veröffentlicht in:	Computer methods and programs in biomedicine Jg. 176; S. 225 - 235
Hauptverfasser:	Sarasa, Guillermo, Granados, Ana, Rodriguez, Francisco B.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Ireland Elsevier B.V 01.07.2019
Schlagworte:	Algorithms Brain - physiology Brain computer interface Brain-Computer Interfaces Cluster Analysis Clustering by compression Computer Simulation Data Compression - methods Data mining Dendrogram Electrodes Electroencephalography Event-Related Potentials, P300 Humans Kolmogorov complexity Multidimensional projections Normalized compression distance Silhouette coefficient Similarity Clustering by compression Multidimensional projections Normalized compression distance Similarity Kolmogorov complexity Silhouette coefficient Brain computer interface Data mining Dendrogram
ISSN:	0169-2607, 1872-7565, 1872-7565
Online-Zugang:	Volltext
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