Abstract
A multivariate technique called Multiple Correspondence Analysis (MCA) was applied to EEG data obtained from 24 subjects submitted to a stabilometric protocol. The approach was able to combine three continuous variables extracted from the periodogram, such as the alpha band power, and the categorical variables Gender included as a dichotomous variable coded ”M” (male) and ”F” (female) and the protocol conditions of eyes closed and eyes open. The solution is based on an analysis of the proximities between categories in MCA orthogonal axes called “symmetric maps”. Results suggested associations between females and eyes closed and higher levels of the alpha, beta and theta bands. On the other hand, eyes open was related to lower levels of the beta band and, in a lesser degree, to males.
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© 2015 Springer International Publishing Switzerland
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Da Silva, P.J.G., Costa, J.C.G.D., Almeida, R.M.V.R., Infantosi, A.F.C. (2015). Multiple Correspondence Analysis Applied to EEG Attributes. In: Lacković, I., Vasic, D. (eds) 6th European Conference of the International Federation for Medical and Biological Engineering. IFMBE Proceedings, vol 45. Springer, Cham. https://doi.org/10.1007/978-3-319-11128-5_14
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DOI: https://doi.org/10.1007/978-3-319-11128-5_14
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11127-8
Online ISBN: 978-3-319-11128-5
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