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ain activity during an epileptic seizure, we eliminated B 1 <strong>and</strong> B 2 b<strong>and</strong>s, both containing<br />

high <strong>frequency</strong> artifacts that obscure the <strong>EEG</strong> (see sec. x3.4). The relative b<strong>and</strong><br />

intensity ratio (RIR) (dened as in sec. x3.2 but in this case from the wavelet scales)<br />

had a similar behavior as the one showed with Gabor Transform in gure 12.<br />

Frequency b<strong>and</strong>s B 3 <strong>and</strong> B 4 were chosen for performing an <strong>analysis</strong> with Wavelets<br />

Packets, these b<strong>and</strong>s being important in the development <strong>of</strong> the tonic-clonic seizures as<br />

showed in Chapter x3.4 (see also Quian Quiroga et al., 1997b).<br />

B 3 b<strong>and</strong> coecients were segmented with sliding windows <strong>of</strong> l = 32 samples corresponding<br />

to time intervals <strong>of</strong> t =2:5 sec. Discrete sets <strong>of</strong> frequencies between 6:4 <strong>and</strong><br />

12:8 Hz with intervals <strong>of</strong> 0:4 Hz were obtained as showed in g. 4.4.2 (squared values<br />

shown).<br />

From second 50, we can see an increase <strong>of</strong> the activity in nearly all the packets. Due<br />

to the good time-<strong>frequency</strong> resolution <strong>of</strong> the Wavelet Packets it is possible to follow the<br />

evolution <strong>of</strong> the <strong>frequency</strong> peaks. For example, the peak marked with an arrow in the<br />

wavelet packet corresponding to 8:4Hz at about second 50, is also visible in the packets<br />

corresponding to 8:0, 7:6 <strong>and</strong>7:2Hz, appearing with higher amplitude <strong>and</strong> some delay.<br />

Then, this peak originated in the 8:4Hz packet, or probably in higher frequencies but<br />

with lower amplitude, is evolving with time to lower frequencies.<br />

Figure 17 shows the Wavelet Packets corresponding to the B4 b<strong>and</strong> (squared values<br />

shown). They were generated by using l = 16 samples corresponding to time intervals<br />

<strong>of</strong> t =2:5 sec <strong>and</strong> discrete sets <strong>of</strong> frequencies between 3:2 <strong>and</strong> 6:4 Hz with intervals<br />

<strong>of</strong> 0:4 Hz. Note that the j = ;4 level has half dispersion in frequencies compared with<br />

the j = ;3 level <strong>and</strong> for this reason we used a window <strong>of</strong> 16 samples in order to obtain<br />

the same denition.<br />

In the B4 b<strong>and</strong> there is a very clear peak, marked with an arrow, after second 60<br />

in the frequencies around 3 ; 4Hz, this increase being correlated with the starting <strong>of</strong><br />

the clonic phase <strong>of</strong> the seizure. This peak is also visible, but appearing earlier in time,<br />

in the higher <strong>frequency</strong> packets (also marked with an arrow). Although this behavior is<br />

predictable with a visual inspection <strong>of</strong> the <strong>EEG</strong>, it is very interesting to note that this<br />

peak is in fact the same peak described in the gure 4.4.2 but appearing more delayed.<br />

Analyzing both gures together, we can observe very clearly how this high amplitude,<br />

low <strong>frequency</strong> peak (3 ; 4Hz) at about 65sec was in fact rst observed in the higher<br />

frequencies (about 9Hz), then evolving with time to lower frequencies until reaching<br />

a very high amplitude when the clonic phase starts, this evolution being very dicult<br />

to identify from a visual inspection <strong>of</strong> the <strong>EEG</strong> or by using traditional <strong>methods</strong> as the<br />

spectrograms (see discussion <strong>of</strong> sec. x3.5).<br />

47

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