STUDY OF THE EFFECT OF MUSIC ON CENTRAL NERVOUS SYSTEM THROUGH LONG TERM ANALYSIS OF EEG SIGNAL IN TIME DOMAIN

The paper studies the effect of music signal on central nervous system (CNS) through EEG signal analysis of normal healthy subjects. The subjects are all engineering students, ages ranging between 20 and30. The data are taken in two stages- one when they listen to a special type of music selected and the other, when they are in normal stage and not listening to any music. The experiments are done on eight leads, frontal leads being five in number and rest three being central. On the collected signals Independent Component Analysis (ICA) is applied to assist the process for isolating noise components and for providing cues to explain the functions of different brain areas from the view point of neurology. The results obtained through ICA were subjected to the study of long-term dynamics giving rise to three dimensional chaotic attractors. Next the chaotic attractors are subjected to the quantification analysis of three dimensional attractor by ‘ellipsoid fit’. It is found that the effect is most prominent in the frontal leads. However, the central leads also show some changes, but not as significant as frontal leads. Thus the present study also compares the results on the effect of music in the two types of leads separately. To validate the result, topographical scalp maps are constructed with the observed data. Interestingly the results of the scalp map support the results of quantification