A method for detecting statistically significant differences in EEG data

dc.contributor.authorFachada,Nuno
dc.contributor.authorCruz,Janir R. da
dc.contributor.authorHerzog,Michael H.
dc.contributor.authorFigueiredo,Patrícia
dc.contributor.authorRosa,Agostinho C.
dc.contributor.institutionEscola de Comunicação, Arquitetura, Artes e Tecnologias da Informação
dc.date.issued2017
dc.descriptionAnnual Meeting of the Organization for Human Brain Mapping
dc.description.abstractThe highly multivariate nature of EEG data often limits the search for statistically significant differences in data collected from two or more groups of subjects. We have recently developed a new technique for assessing whether two or more multidimensional samples are drawn from the same distribution. Here, we apply this to EEG data collected from schizophrenia patients and healthy controls while performing a Visual Backward Masking (VBM) task.en
dc.description.statusNon peer reviewed
dc.formatapplication/pdf
dc.identifier.citationFachada , N , Cruz , J R D , Herzog , M H , Figueiredo , P & Rosa , A C 2017 , ' A method for detecting statistically significant differences in EEG data ' , Paper presented at OHBM , 1/01/17 .
dc.language.isoeng
dc.publisherOHBM
dc.rightsopenAccess
dc.subjectELETROENCEFALOGRAMA
dc.subjectESTATÍSTICA MULTIVARIADA
dc.subjectANÁLISE DE DADOS
dc.subjectMULTIVARIATE STATISTICS
dc.subjectPRINCIPAL COMPONENT ANALYSIS
dc.subjectDATA ANALYSIS
dc.subjectELECTROENCEPHALOGRAPHY
dc.titleA method for detecting statistically significant differences in EEG dataen

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
2017_ohbm.pdf
Tamanho:
209.44 KB
Formato:
Adobe Portable Document Format
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.71 KB
Formato:
Item-specific license agreed upon to submission
Descrição: