Classification of Error-Related Negativity (ERN) and Positivity (Pe) potentials using kNN and Support Vector Machines

Ventouras, EM; Asvestas, P; Karanasiou, I; Matsopoulos, GK

dc.contributor.author	Ventouras, EM	en
dc.contributor.author	Asvestas, P	en
dc.contributor.author	Karanasiou, I	en
dc.contributor.author	Matsopoulos, GK	en
dc.date.accessioned	2014-03-01T01:35:24Z
dc.date.available	2014-03-01T01:35:24Z
dc.date.issued	2011	en
dc.identifier.issn	0010-4825	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/21031
dc.subject	Error Positivity (Pe)	en
dc.subject	Error-Related Negativity (ERN)	en
dc.subject	Event-Related Potentials (ERPs)	en
dc.subject	KNN	en
dc.subject	Support Vector Machines (SVM)	en
dc.subject.classification	Biology	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Engineering, Biomedical	en
dc.subject.classification	Mathematical & Computational Biology	en
dc.subject.other	Classification results	en
dc.subject.other	Event related potentials	en
dc.subject.other	Feature selection	en
dc.subject.other	Incorrect action	en
dc.subject.other	KNN	en
dc.subject.other	Leave-one-out	en
dc.subject.other	Sensitivity and specificity	en
dc.subject.other	Statistical measures	en
dc.subject.other	Support Vector Machines (SVM)	en
dc.subject.other	Time windows	en
dc.subject.other	Classifiers	en
dc.subject.other	Enterprise resource planning	en
dc.subject.other	Feature extraction	en
dc.subject.other	Vectors	en
dc.subject.other	Vehicle routing	en
dc.subject.other	Support vector machines	en
dc.subject.other	article	en
dc.subject.other	electrophysiology	en
dc.subject.other	error	en
dc.subject.other	error related negativity	en
dc.subject.other	error related positivity	en
dc.subject.other	event related potential	en
dc.subject.other	human	en
dc.subject.other	information processing	en
dc.subject.other	k nearest neighbor	en
dc.subject.other	priority journal	en
dc.subject.other	sensitivity and specificity	en
dc.subject.other	statistical analysis	en
dc.subject.other	support vector machine	en
dc.subject.other	task performance	en
dc.subject.other	Algorithms	en
dc.subject.other	Analysis of Variance	en
dc.subject.other	Computational Biology	en
dc.subject.other	Electroencephalography	en
dc.subject.other	Evoked Potentials	en
dc.subject.other	Fuzzy Logic	en
dc.subject.other	Humans	en
dc.subject.other	Reaction Time	en
dc.subject.other	Reproducibility of Results	en
dc.subject.other	Sensitivity and Specificity	en
dc.subject.other	Signal Processing, Computer-Assisted	en
dc.title	Classification of Error-Related Negativity (ERN) and Positivity (Pe) potentials using kNN and Support Vector Machines	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.compbiomed.2010.12.004	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.compbiomed.2010.12.004	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	Error processing in subjects performing actions has been associated with the Event-Related Potential (ERP) components called Error-Related Negativity (ERN) and Error Positivity (Pe). In this paper, features based on statistical measures of the sample of averaged ERP recordings are used for classifying correct from incorrect actions. Three feature selection techniques were used and compared. Classification was done by means of a kNN and a Support Vector Machines (SVM) classifier. The use of a leave-one-out approach in the feature selection provided sensitivity and specificity values concurrently higher than or equal to 87.5%, for both classifiers. The classification results were significantly better for the time window that included only the ERN, as compared to time windows including also Pe. (C) 2010 Elsevier Ltd. All rights reserved.	en
heal.publisher	PERGAMON-ELSEVIER SCIENCE LTD	en
heal.journalName	Computers in Biology and Medicine	en
dc.identifier.doi	10.1016/j.compbiomed.2010.12.004	en
dc.identifier.isi	ISI:000287621800004	en
dc.identifier.volume	41	en
dc.identifier.issue	2	en
dc.identifier.spage	98	en
dc.identifier.epage	109	en