Perpustakaan Digital ITB

Human mental tasks are influenced by some variables, such as the sound stimulation which is used for emotional therapy by physicians. Although human perceptions toward sound stimulation are different from each other, generally we can find or develop sound sources which can cause certain mental task. For therapy evaluation, we need EEG as the measurement instrument and identification and classification system that has developed in this research, based on power spectral and apriory knowledge about the EEG signal. Alpha wave will appear at relax condition, theta wave when sleepy or at emotional stress, and beta wave relates to non-relax condition. The EEG signal is evaluated toward 12 sound stimulations. Each sound source was given to 3 subjects repeatedly. As a validation, we observed facial expression and knowledge about the sound stimulation. The research showed that power spectral analysis can be used as a mental task classification system model. From 12 sound stimulations, about 41% gave sleepy, 36% relax, and 23% non-relax condition. Sleepy condition was dominant at fast beat music and the end of measurement. The result gives that EEG spectral of symmetric channels are asymmetric.