title: Multivariate evoked response detection based on the spectral F-test.
abstract: BACKGROUND
  Objective response detection techniques, such as magnitude square coherence, component synchrony measure, and the spectral F-test, have been used to automate the detection of evoked responses. The performance of these detectors depends on both the signal-to-noise ratio (SNR) and the length of the electroencephalogram (EEG) signal.
  
  
  METHODS
  Recently, multivariate detectors were developed to increase the detection rate even in the case of a low signal-to-noise ratio or of short data records originated from EEG signals. In this context, an extension to the multivariate case of the spectral F-test detector is proposed.
  
  
  RESULTS
  The performance of this technique is assessed using Monte Carlo. As an example, EEG data from 12 subjects during photic stimulation is used to demonstrate the usefulness of the proposed detector.
  
  
  CONCLUSIONS
  The multivariate method showed detection rates consistently higher than those ones when only one signal was used.
  
  
  CONCLUSIONS
  It is shown that the response detection in EEG signals with the multivariate technique was statistically significant if two or more EEG derivations were used.
authors.affiliation: Departamento de Engenharia Elétrica, Universidade Federal de Viçosa, Av. PH Rolfs, SN, 36570-900 Viçosa, MG, Brazil; Programa de Pós-graduação em Engenharia Elétrica, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627, 31270-901 Belo Horizonte, MG, Brazil.
authors.forename: Paulo Fábio F
authors.initials: PFF
authors.lastname: Rocha
authors.affiliation: Departamento de Engenharia Elétrica, Universidade Federal de Viçosa, Av. PH Rolfs, SN, 36570-900 Viçosa, MG, Brazil. Electronic address: leobonato@ufv.br.
authors.forename: Leonardo B
authors.initials: LB
authors.lastname: Felix
authors.affiliation: Programa de Engenharia Biomédica, COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
authors.forename: Antonio Mauricio F L
authors.initials: AMFL
authors.lastname: Miranda de Sá
authors.affiliation: Programa de Pós-graduação em Engenharia Elétrica, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627, 31270-901 Belo Horizonte, MG, Brazil.
authors.forename: Eduardo M A M
authors.initials: EMAM
authors.lastname: Mendes
mesh_terms: D004569:Electroencephalography / Q000379:methods*; D005071:Evoked Potentials / Q000502:physiology*; D006801:Humans; D012815:Signal Processing, Computer-Assisted
keywords: Detection; EEG; Evoked response; Multivariate detector; Spectral F-test