《脑电图信号处理与机器学习在癫痫发作检测与预测方面的进展》特刊的编辑评论
Editorial commentary on special issue of Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction.
作者信息
Boubchir Larbi
机构信息
Laboratoire d'Informatique Avancée de Saint-Denis Research Lab., University of Paris 8, Saint-Denis, Cedex 93526, France.
出版信息
J Biomed Res. 2020 May 28;34(3):149-150. doi: 10.7555/JBR.34.20200700.
Abstract
This special issue of 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.
摘要
本期特刊刊载了基于先进脑电图信号处理和机器学习算法的癫痫发作检测与预测方面的新颖研究。所选文章展示了重要发现，包括新的实验结果和理论研究。
相似文献
1
Editorial commentary on special issue of Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction.
J Biomed Res. 2020 May 28;34(3):149-150. doi: 10.7555/JBR.34.20200700.
2
Epileptic seizure detection in EEG signal with GModPCA and support vector machine.
Biomed Mater Eng. 2017;28(2):141-157. doi: 10.3233/BME-171663.
3
Epileptic seizure detection in EEG signal using machine learning techniques.
Australas Phys Eng Sci Med. 2018 Mar;41(1):81-94. doi: 10.1007/s13246-017-0610-y. Epub 2017 Dec 20.
4
An efficient detection of epileptic seizure by differentiation and spectral analysis of electroencephalograms.
Comput Biol Med. 2015 Nov 1;66:352-6. doi: 10.1016/j.compbiomed.2015.04.034. Epub 2015 May 7.
5
A multi-context learning approach for EEG epileptic seizure detection.
BMC Syst Biol. 2018 Nov 22;12(Suppl 6):107. doi: 10.1186/s12918-018-0626-2.
6
Epileptic seizure detection on EEG signals using machine learning techniques and advanced preprocessing methods.
Biomed Tech (Berl). 2020 Jan 28;65(1):33-50. doi: 10.1515/bmt-2019-0001.
7
Novel images extraction model using improved delay vector variance feature extraction and multi-kernel neural network for EEG detection and prediction.
Technol Health Care. 2015;23 Suppl 1:S151-5. doi: 10.3233/thc-150948.
8
EEG epileptic seizure detection and classification based on dual-tree complex wavelet transform and machine learning algorithms.
J Biomed Res. 2020 Apr 24;34(3):151-161. doi: 10.7555/JBR.34.20190026.
9
Machine Learning-Based Epileptic Seizure Detection Methods Using Wavelet and EMD-Based Decomposition Techniques: A Review.
Sensors (Basel). 2021 Dec 20;21(24):8485. doi: 10.3390/s21248485.
10
Novel feature extraction method based on weight difference of weighted network for epileptic seizure detection.
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:3256-9. doi: 10.1109/EMBC.2014.6944317.
引用本文的文献
1
Research hotspots and trends in the application of electroencephalography for assessment of disorders of consciousness: a bibliometric analysis.
Front Neurol. 2025 Jan 27;15:1501947. doi: 10.3389/fneur.2024.1501947. eCollection 2024.
2
Prediction of Seizure Recurrence. A Note of Caution.
Front Neurol. 2021 May 13;12:675728. doi: 10.3389/fneur.2021.675728. eCollection 2021.
本文引用的文献
1
Deep learning approach to detect seizure using reconstructed phase space images.
J Biomed Res. 2020 Jan 24;34(3):240-250. doi: 10.7555/JBR.34.20190043.
2
Epileptic seizure detection using EEG signals and extreme gradient boosting.
J Biomed Res. 2019 Aug 30;34(3):228-239. doi: 10.7555/JBR.33.20190016.
3
A quadratic linear-parabolic model-based EEG classification to detect epileptic seizures.
J Biomed Res. 2019 Aug 28;34(3):205-212. doi: 10.7555/JBR.33.20190012.
4
An optimized design of seizure detection system using joint feature extraction of multichannel EEG signals.
J Biomed Res. 2019 Oct 17;34(3):191-204. doi: 10.7555/JBR.33.20190019.
5
Classification of low-density EEG for epileptic seizures by energy and fractal features based on EMD.
J Biomed Res. 2019 Aug 29;34(3):180-190. doi: 10.7555/JBR.33.20190009.
6
Hidden Markov model based epileptic seizure detection using tunable Q wavelet transform.
J Biomed Res. 2020 Jan 22;34(3):170-179. doi: 10.7555/JBR.34.20190006.
7
Epileptic seizure prediction based on EEG spikes detection of ictal-preictal states.
J Biomed Res. 2020 Feb 17;34(3):162-169. doi: 10.7555/JBR.34.20190097.
8
EEG epileptic seizure detection and classification based on dual-tree complex wavelet transform and machine learning algorithms.
J Biomed Res. 2020 Apr 24;34(3):151-161. doi: 10.7555/JBR.34.20190026.
9
Complexity analysis and dynamic characteristics of EEG using MODWT based entropies for identification of seizure onset.
J Biomed Res. 2019 Oct 11;34(3):1-3. doi: 10.7555/JBR.33.20190021.
Zotero 插件