AUC results for test set.

<p>AUC results for test set.</p

Confidence interval for pool AUC with all the individuals.

<p>Confidence interval for pool AUC with all the individuals.</p

ROC curves for the preprocessing methods.

<p>Following the notation in the paper: PBF (dark green), DS (orange), VAR (blue), DM (pink), TVM (light blue), Sq.diff (yellow) for all the test set (public+private) given by the Kaggle contest.</p

AUC results for the validation set.

<p>AUC results for the validation set.</p

Comparison with PBF and DS preprocessing methods using different learning machine algorithms.

<p>Comparison with PBF and DS preprocessing methods using different learning machine algorithms.</p

Data characteristics for the Kaggle.com seizure forecasting contest.

<p>Source: [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0178808#pone.0178808.ref009" target="_blank">9</a>].</p

Preprocessing stage diagram.

<p>A sliding window is used to extract 60-second windows which are processed by FFT to generate a large vector. This vector is preprocessed with 6 filters located at the corresponding 6 bands (<i>δ</i>, <i>θ</i>, <i>α</i>, <i>β</i>, low-<i>γ</i>, high-<i>γ</i>). These filters have been previously calculated with the preprocessing methods described in this paper. Finally the output of the filters is log-compressed with the function log1p (Natural logarithm of 1 + <i>x</i>, element-wise). This procedure is repeated for each available iEEG channel.</p

Comparison with the standard band filters (PBF) and the preprocessing techniques.

<p>Comparison with the standard band filters (PBF) and the preprocessing techniques.</p

Comparison between AUC for individuals, preprocessing methods and the highest and the lowest frequency group.

<p>Every panel is a comparison between all the bands, only <i>δ</i> (0.1-4Hz) or only high-<i>γ</i> (70-180Hz). The red points correspond to the AUC got by the DS preprocessing and the black points by the PBF method. Every point is labeled according to the individual D1 (Dog 1), D2 (Dog 2), D3 (Dog 3), D4 (Dog 4), D5 (Dog 5), P1 (Patient 1) and P2 (Patient 2). Most of the points are in the lower bisector of the first quadrant, pointing out that the lowest frequency band is more useful than the highest frequency band with respect to forecasting seizures.</p

Public and private scores in the American Epilepsy Society Seizure Prediction Challenge for KNN with 40 neighbors for the preprocessing methods.

<p>Public and private scores in the American Epilepsy Society Seizure Prediction Challenge for KNN with 40 neighbors for the preprocessing methods.</p