Computerized recognition of persons by EEG spectral patterns.
Modified techniques of communication theory in connection with multivariate statistical procedures were applied to a sample of 82 patients for the purpose of defining EEG spectral patterns and for solving the relevant classification problems. Ten measurements per patient were made and it could be shown that a subject can be characterized and be recognized by his EEG spectral pattern with high reliability and a confidence probability of almost 90%. This result is valid not only for normal adults but also for schizophrenic patients, implying a close relationship between the EEG spectral pattern and the individual person. At the moment the nature of this relationship is not clear; in particular the supposed relationship to psychopathology could not be proved.
D000328:Adult; D004569:Electroencephalography / Q000379:methods*; D006801:Humans; D007207:Individuation; D010363:Pattern Recognition, Automated; D010553:Personality Development