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<p><b>Special Issue on Advances in EEG Signal Processing and Machine
Learning for Epileptic Seizure Detection and Prediction</b></p>
<p><b>Journal of Biomedical Research<br>
</b></p>
<p>Epilepsy is the most common neurological disorder of the brain
that affects people worldwide at any age from newborn to adult. It
is characterized by recurrent seizures, which are brief episodes
of signs or symptoms due to abnormal excessive or synchronous
neuronal activity in the brain. The electroencephalogram, or EEG,
is a physiological method to measure and record the electrical
activities generated by the brain from electrodes placed on the
surface of the scalp. EEG has become the most used signal for
detecting and predicting epileptic seizures. Machine learning for
EEG signal processing constitute an important area of artificial
intelligence dealing with the setting up of automated
computer-aided systems allowing to help the medical staff, e.g.
neurophysiologists, for detecting and predicting epileptic seizure
activities from EEG signals. It offers solutions to difficult
biomedical engineering problems related to detecting and
predicting EEG Epileptic seizures.</p>
In the light of the rapid development of machine learning tools for
signal processing, this special issue aims to solicit original
research papers as well as review articles focusing on recent
advances in EEG signal processing and machine learning for Epileptic
seizure detection and prediction.<br>
Topics of interest should be related to Epileptic seizure detection
and/or prediction, and include (but are not limited to) the
following:<br>
- EEG signal processing<br>
- Time-frequency EEG signal analysis<br>
- Non-stationary EEG signal analysis<br>
- EEG feature extraction and selection<br>
- Machine learning for EEG signals<br>
- EEG classification and clustering<br>
- Deep learning for EEG<br>
- EEG Big Data<br>
- EEG-based BCI (Brain-Computer Interface)<br>
- Internet of things for prediction<br>
- EEG-based computer-aideddiagnosis systems<br>
- Related applications<br>
<br>
<b>Important Dates:</b><br>
Submission deadline: January 15th, 2019<br>
Completion of first-round reviews: February 15th, 2019<br>
Submission deadline for revised papers: March 15th, 2019<br>
Final acceptance/rejection notification: March30th, 2019<br>
Publication: May 2019<b><br>
</b><br>
<b>Submission Guidelines:</b><br>
- All submissions have to be prepared according to the Guide for
Authors as published in the Journal Web Site:
<a class="moz-txt-link-freetext" href="http://www.jbr-pub.org.cn">http://www.jbr-pub.org.cn</a><br>
- Submissions should be sent through:
<a class="moz-txt-link-freetext" href="https://mc03.manuscriptcentral.com/jbrint">https://mc03.manuscriptcentral.com/jbrint</a><br>
- Authors should select the acronym "Special Issue: AESPMLESDP" as
the article type, from the manuscript type menu during the
submission process.<br>
<br>
<b>Guest Editor:</b><br>
Dr. Larbi Boubchir, Associate Professor, LIASD research Lab. -
University of Paris 8, France <br>
Email: <a class="moz-txt-link-abbreviated" href="mailto:larbi.boubchir@ai.univ-paris8.fr">larbi.boubchir@ai.univ-paris8.fr</a><br>
<br>
<blockquote type="cite"
cite="mid:3f21d3d9-7675-c2f8-283b-13bcc6181f5a@ai.univ-paris8.fr">
</blockquote>
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<small><span style="color: rgb(102, 102, 102);">_____________________________________________________</span><br
style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">Larbi Boubchir, PhD,
SMIEEE</span><br style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">Associate Professor</span><br
style="color: rgb(102, 102, 102);">
<br style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">LIASD - University of
Paris 8</span><br style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">2 rue de la Liberté,
93526
Saint-Denis, France</span><br style="color: rgb(102, 102,
102);">
<span style="color: rgb(102, 102, 102);">Tel. (+33) 1 49 40 67
95</span><br style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">Email.
<a class="moz-txt-link-abbreviated" href="mailto:larbi.boubchir@ai.univ-paris8.fr">larbi.boubchir@ai.univ-paris8.fr</a></span><br style="color:
rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);"><a class="moz-txt-link-freetext" href="http://www.ai.univ-paris8.fr/~boubchir/">http://www.ai.univ-paris8.fr/~boubchir/</a></span><br
style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">_____________________________________________________</span></small><br>
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