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Fig. 10.3
The varying amplitude of the EEG on 14 different electrodes for approximately 190 s
amplitude is calculated for each window, and the electrode with the highest value is
singled out (shaded windows in Fig.
10.3
). The example in Fig.
10.4
shows how the
power of the EEG has varied across the montage: the area with the highest EEG
power moved from electrode 2 (Fp2) to 1 (Fp1), and then, it moved to electrode 5
(F4) followed by electrode 6 (F8), where it remained for two windows.
The method to produce melodies works as follows: we associate each electrode
with a musical note (Table
10.2
), which is played when the respective electrode is
the most active with respect to the EEG information in question. The associations
between notes and electrodes are arbitrary and can be customised at will.
In the case of our example, the trajectory shown in Fig.
10.4
would have gen-
erated the melody shown in Fig.
10.5
. (Rhythm is allocated by means of a Gaussian
distribution function, which is not relevant for discussion here.)
The authors reported that it was possible to produce interesting pleasant music
with the system by forging crafty associations of electrodes and notes, combined
with careful generation of rhythmic
gures.
