Cargando…
Editorial commentary on special issue of Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction
This special issue of The Journal of Biomedical Research features novel studies on epileptic seizure detection and prediction based on advanced EEG signal processing and machine learning algorithms. The articles selected present important findings including new experimental results and theoretical s...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Editorial Department of Journal of Biomedical Research
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324273/ https://www.ncbi.nlm.nih.gov/pubmed/32561694 http://dx.doi.org/10.7555/JBR.34.20200700 |
_version_ | 1783551907236675584 |
---|---|
author | Boubchir, Larbi |
author_facet | Boubchir, Larbi |
author_sort | Boubchir, Larbi |
collection | PubMed |
description | This special issue of The Journal of Biomedical Research features novel studies on epileptic seizure detection and prediction based on advanced EEG signal processing and machine learning algorithms. The articles selected present important findings including new experimental results and theoretical studies. |
format | Online Article Text |
id | pubmed-7324273 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Editorial Department of Journal of Biomedical Research |
record_format | MEDLINE/PubMed |
spelling | pubmed-73242732020-07-06 Editorial commentary on special issue of Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction Boubchir, Larbi J Biomed Res Editorial Commentary This special issue of The Journal of Biomedical Research features novel studies on epileptic seizure detection and prediction based on advanced EEG signal processing and machine learning algorithms. The articles selected present important findings including new experimental results and theoretical studies. Editorial Department of Journal of Biomedical Research 2020-05 /pmc/articles/PMC7324273/ /pubmed/32561694 http://dx.doi.org/10.7555/JBR.34.20200700 Text en Copyright and License information: Journal of Biomedical Research, CAS Springer-Verlag Berlin Heidelberg 2020 http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ |
spellingShingle | Editorial Commentary Boubchir, Larbi Editorial commentary on special issue of Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction |
title | Editorial commentary on special issue of Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction |
title_full | Editorial commentary on special issue of Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction |
title_fullStr | Editorial commentary on special issue of Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction |
title_full_unstemmed | Editorial commentary on special issue of Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction |
title_short | Editorial commentary on special issue of Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction |
title_sort | editorial commentary on special issue of advances in eeg signal processing and machine learning for epileptic seizure detection and prediction |
topic | Editorial Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324273/ https://www.ncbi.nlm.nih.gov/pubmed/32561694 http://dx.doi.org/10.7555/JBR.34.20200700 |
work_keys_str_mv | AT boubchirlarbi editorialcommentaryonspecialissueofadvancesineegsignalprocessingandmachinelearningforepilepticseizuredetectionandprediction |