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Characterization framework for Ex-combatants based on EEG and behavioral features

dc.creatorQuintero-Zea A.spa
dc.creatorSepúlveda-Cano L.M.spa
dc.creatorCalvache M.R.spa
dc.creatorOrrego S.T.spa
dc.creatorOrrego N.T.spa
dc.date.accessioned2017-12-19T19:36:50Z
dc.date.available2017-12-19T19:36:50Z
dc.date.created2017
dc.identifier.isbn9789811040856
dc.identifier.issn16800737
dc.identifier.urihttp://hdl.handle.net/11407/4351
dc.description.abstractThis paper presents a framework to characterize the emotional processing of Colombian ex-combatants from illegal groups. The classification process is performed using EEGERP data and behavioral features from psychological tests. The results show that ex-combatant and civilian populations can be automatically separated using supervised techniques.With this, we can provide a decision support system for psychologists to improve current interventions aimed to help ex-combatants to make a successful reintegration to civilian life. © Springer Nature Singapore Pte Ltd. 2017.eng
dc.language.isoeng
dc.publisherSpringer Verlagspa
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85018389268&doi=10.1007%2f978-981-10-4086-3_52&partnerID=40&md5=bfebea4c0f97c7e3bb2d860a0035a255spa
dc.sourceScopusspa
dc.titleCharacterization framework for Ex-combatants based on EEG and behavioral featuresspa
dc.typeConference Papereng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.contributor.affiliationQuintero-Zea, A., SISTEMIC, Engineering Faculty, Universidad de Medell´ın UDEM, Cra. 87 No. 30 - 65, Medellín, Colombiaspa
dc.contributor.affiliationSepúlveda-Cano, L.M., ARKADIUS, Engineering Faculty, Universidad de Medell´ın UDEM, Cra. 87 No. 30 - 65, Medellín, Colombiaspa
dc.contributor.affiliationCalvache, M.R., SISTEMIC, Engineering Faculty, Universidad de Medell´ın UDEM, Cra. 87 No. 30 - 65, Medellín, Colombiaspa
dc.contributor.affiliationOrrego, S.T., Mental Health Group, School of Public Health, Universidad de Antioquia UDEA, Cra. 53 No. 61-30, Medellín, Colombiaspa
dc.contributor.affiliationOrrego, N.T., Mental Health Group, School of Public Health, Universidad de Antioquia UDEA, Cra. 53 No. 61-30, Medellín, Colombia, Neuroscience Group, Faculty of Medicine, Universidad de Antioquia UDEA, Medellín, Colombiaspa
dc.identifier.doi10.1007/978-981-10-4086-3_52
dc.subject.keywordEmotional processingeng
dc.subject.keywordEmotional recognition taskeng
dc.subject.keywordERPeng
dc.subject.keywordEx-combatantseng
dc.subject.keywordSupervised learningeng
dc.subject.keywordArtificial intelligenceeng
dc.subject.keywordBiomedical engineeringeng
dc.subject.keywordDecision support systemseng
dc.subject.keywordEnterprise resource planningeng
dc.subject.keywordSupervised learningeng
dc.subject.keywordTestingeng
dc.subject.keywordBehavioral featureseng
dc.subject.keywordCivilian populationseng
dc.subject.keywordClassification processeng
dc.subject.keywordColombianseng
dc.subject.keywordEmotional recognitioneng
dc.subject.keywordEx-combatantseng
dc.subject.keywordPsychological testseng
dc.subject.keywordBehavioral researcheng
dc.publisher.facultyFacultad de Ingenieríasspa
dc.abstractThis paper presents a framework to characterize the emotional processing of Colombian ex-combatants from illegal groups. The classification process is performed using EEGERP data and behavioral features from psychological tests. The results show that ex-combatant and civilian populations can be automatically separated using supervised techniques.With this, we can provide a decision support system for psychologists to improve current interventions aimed to help ex-combatants to make a successful reintegration to civilian life. © Springer Nature Singapore Pte Ltd. 2017.eng
dc.creator.affiliationSISTEMIC, Engineering Faculty, Universidad de Medell´ın UDEM, Cra. 87 No. 30 - 65, Medellín, Colombiaspa
dc.creator.affiliationARKADIUS, Engineering Faculty, Universidad de Medell´ın UDEM, Cra. 87 No. 30 - 65, Medellín, Colombiaspa
dc.creator.affiliationMental Health Group, School of Public Health, Universidad de Antioquia UDEA, Cra. 53 No. 61-30, Medellín, Colombiaspa
dc.creator.affiliationNeuroscience Group, Faculty of Medicine, Universidad de Antioquia UDEA, Medellín, Colombiaspa
dc.relation.ispartofesIFMBE Proceedingsspa
dc.relation.referencesCarlos, T., Agustín, I., Lina, V., Emotional Processing in Colombian Ex-Combatants and Its Relationship with Empathy and Executive Functions Social Neuroscience, 10, pp. 153-165. , PMID: 25302548spa
dc.relation.referencesI-Wei, S., Onton Julie, A., Nitin, P., O’Connell Ryan, M., Simmons Alan, N., Matthews Scott, C., Combat Veterans with PTSD after Mild TBI Exhibit Greater Erps from Posterior-Medial Cortical Areas while Appraising Facial Features, 155, pp. 234-240spa
dc.relation.referencesLight Gregory, A., Williams Lisa, E., Falk, M., Electroencephalography (EEG) and Event-Related Potentials (Erps) with Human Participants Current Protocols in Neuroscience, p. 2524. , CHAPTER:Unit-6spa
dc.relation.referencesShravani, S., Sinha, V.K., Event-Related Potential: An Overview, 18, p. 70spa
dc.relation.referencesVilfredo, P.D., Enrica, S., Patrizia, R., Fabiola, V., Personality, Event-Related Potential (ERP) and Heart Rate (HR) in Emotional Word Processing Personality and Individual Differences, 36, pp. 873-891spa
dc.relation.referencesAgustín, I., Hugo, U., Agustín, P., Neural Processing of Emotional Facial and Semantic Expressions in Euthymic Bipolar Disorder (BD) and Its Association with Theory of Mind (Tom) Plos ONE, 7, pp. 1-12spa
dc.relation.referencesArnaud, D., Scott, M., EEGLAB: An Open Source Toolbox for Analysis of Single-Trial EEG Dynamics including Independent Component Analysis Journal of Neuroscience Methods, 134, pp. 9-21spa
dc.relation.referencesGismero, E., EHS Escala De Habilidades Sociales Madrid: TEA Publicaciones De Psicología Aplicadaspa
dc.relation.referencesAdrian, R., Kenneth, D., Rolf, L., The Reactive-Proactive Aggression Questionnaire: Differential Correlates of Reactive and Proactive Aggression in Adolescent Boysaggressive Behavior, 32, pp. 159-171spa
dc.relation.referencesKey Alexandra, P., Fonaryova, D.G.O., Maguire Mandy, J., Linking brainwaves to the brain An ERP Primer Developmental Neuropsychology, 27, pp. 183-215spa
dc.relation.referencesPawel, B., Semi-Supervised Feature Extraction Method Using Partial Least Squares and Gaussian Mixture Model Lecture Notes in Engineering and Computer Sciencespa
dc.relation.referencesHerv, A., Partial least squares regression and projection on latent structure regression (PLS Regression) Wiley Interdisciplinary Reviews Computational Statistics, 2, pp. 97-106spa
dc.relation.referencesPadraig, C., Jane, D.S., K-Nearest Neighbour Classifiers Multiple Classifier Systems, pp. 1-17spa
dc.relation.referencesVapnik Vladimir, N., The Nature of Statistical Learning Theorych Methods of Pattern Recognition, pp. 138-155. , New York, NY: Springer-Verlag2nd edspa
dc.relation.referencesGuo-You, S., Shuang, L., Model Selection of RBF Kernel for C-SVM Based on Genetic Algorithm and Multithreading in 2012 International Conference on Machine Learning and Cybernetics, 1, pp. 382-386spa
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.instnameinstname:Universidad de Medellínspa


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