Sample focal EEG signal and IMFs obtained from focal EEG signals are shown in
Figure 2. Similarly sample non-focal EEG signal and IMFs obtained from non-focal
EEG signals are shown in Figure 3.
Each record in the dataset contains a pair of signals denoted as ‘x’ and ‘y’. EMD
applied on both signal separately and total 8 IMFs are obtained (4 from ‘x’ and 4
from ‘y’). To investigate the ability of each feature to classify seizures, experiments
are conducted on all features individually. In classification task, the capacity of RBF
kernel in support vector machine is already proved in various seizure studies
[26, 34]. In this work we have used RBF kernel in support vector machine for the
classification task.
Figure 3.
Non-focal EEG signals and six IMFs obtained from non-focal EEG signal.
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Advances in Neural Signal Processing