Application of fuzzy statements for interpretation of the emotional influence on human cognitive activity

The article provides the model of cognitive activity, allowing to monitor changes in human cognitive performance considering influence of emotional stimulation, basing on fuzzy assessments of characteristics of patterns of biomedical signals (electroencephalography, electromyography). We formed a new system of attributes characterizing power spectrum of biomedical signals. This instrument based on fuzzy sets allows to correlatively interpret cognitive activity by electroencephalography and electromyography patterns and also create verbal conclusion about its speed and progress direction.