NDLI: Effect of latency on clustering of P300 recordings for ADHD discrimination

Content Provider	IEEE Xplore Digital Library
Author	Peluffo-Ordonez, D.H. Martinez-Vargas, J.D. Castellanos-Dominguez, G.
Copyright Year	2012
Description	Author affiliation: Univ. Nac. de Colombia, Caldas, Colombia (Peluffo-Ordonez, D.H.; Martinez-Vargas, J.D.; Castellanos-Dominguez, G.)
Abstract	This paper is focused on testing the latency contribution as regards the quality of formed groups for discriminating between healthy and attention deficit hyperactivity disorder children. To this end, two different cases are considered: nonaligned original recordings and aligned signals according to P300 position. For latter case, a novel approach to conduct time location of P300 component is introduced, which is based on derivative of event-related potential signals. The used database holds event-related potentials registered in auditory and visual oddball paradigm. Several experiments are carried out testing both configurations of considered data matrix. For grouping input data matrices, the k-means clustering technique is employed. To assess the quality of formed clusters and the relevance for clustering of latency-based features, relative values of distances between centroids and data points are computed in order to apprise separability and compactness of estimated clusters. Experimental results show that time localization of P300 component is not a decisive feature in formation of compact and well-defined groups within a discrimination framework for two considered data classes under certain conditions.
Sponsorship	IEEE Eng. Medicine Biol. Soc.
Starting Page	5202
Ending Page	5205
File Size	568798
Page Count	4
File Format	PDF
ISBN	9781424441198
ISSN	1557170X
e-ISBN	9781457717871
DOI	10.1109/EMBC.2012.6347166
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-28
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature extraction Vectors Visualization Pediatrics Correlation Electric potential Heuristic algorithms
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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