title: Subject identification through standard EEG signals during resting states.
abstract: In the present work, we used the brain electroencephalografic activity as an alternative means to identify individuals. 50 healthy subjects participated to the study and 56 EEG signals were recorded through a high-density cap during one minute of resting state either with eyes open and eyes closed. By computing the power spectrum density (PSD) on segments of 10 seconds, we obtained a feature vector of 40 points, notably the PSD values in the standard frequency range (1-40 Hz), for each EEG channel. By using a naive Bayes classifier and K-fold cross-validations, we observed high correct recognition rates (CRR) at the parieto-occipital electrodes (~78% during eyes open, ~89% during eyes closed). Notably, the eyes closed resting state elicited the highest CRRs at the occipital electrodes (92% O2, 91% O1), suggesting these biometric characteristics as the most suitable, among those investigated here, for identifying individuals.
authors.affiliation: Department of Physiology, University Sapienza of Rome, Rome, Italy.
authors.forename: F
authors.initials: F
authors.lastname: De Vico Fallani
authors.forename: G
authors.initials: G
authors.lastname: Vecchiato
authors.forename: J
authors.initials: J
authors.lastname: Toppi
authors.forename: L
authors.initials: L
authors.lastname: Astolfi
authors.forename: F
authors.initials: F
authors.lastname: Babiloni
mesh_terms: D000465:Algorithms; D001699:Biometry / Q000379:methods*; D001921:Brain / Q000502:physiology*; D001931:Brain Mapping / Q000379:methods*; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012146:Rest / Q000502:physiology*; D012680:Sensitivity and Specificity