A review of developments of EEG-based automatic medical support systems for epilepsy diagnosis and seizure detection

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Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org

Google-based Impact Factor: 1.68
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"A review of developments of EEG-based automatic medical support systems for epilepsy diagnosis and seizure detection"
written by Yuedong Song,
published by Journal of Biomedical Science and Engineering, Vol.4 No.12, 2011

has been cited by the following article(s):

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[9]	Epileptic Seizure Detection and Experimental Treatment: A Review
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[10]	Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review
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[12]	Time-Frequency Techniques using Band Limited Wavelets Applied to Detect Epileptic Events in EEG
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[14]	Comparison of Fuzzy Output Optimization with Expectation Maximization Algorithm and Its Modification for Epilepsy Classification
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[15]	EEG signals classification based on autoregressive and inherently quantum recurrent neural network
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[16]	Advances in Pattern Recognition
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[17]	Hilbert D?nü?ümü Ve Teager Enerji Kullanilarak EEG ??aretlerinde Epileptik N?bet Tespiti Detection of Epileptic Seizure from EEG Signals by Using Teager Energy and Hilbert Transform
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[18]	Automatic Epileptic Seizure Detection in EEG Using Nonsubsampled Wavelet–Fourier Features
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[19]	An extensive review on development of EEG-based computer-aided diagnosis systems for epilepsy detection
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[20]	Automated recognition of epilepsy from EEG signals
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[21]	Detection of epileptic seizure from EEG signals by using teager energy and Hilbert transform
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[22]	A Review of Automated Methodologies for the Detection of Epileptic Episodes Using Long-Term EEG Signals
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[23]	Time-Frequency Analysis of Epileptic EEG for Seizure Detection
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[28]	Epilepsy Seizure Detection in EEG Signals Using Wavelet Transforms and Neural Networks
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[29]	Automated Detection of Interictal Spikes in EEG: A literature review
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[30]	DALGACIK DÖNÜŞÜMÜ KULLANILARAK EEG İŞARETLERİNDE EPİLEPTİK NÖBET TESPİTİ DETECTION OF EPILEPTIC SEIZURES IN EEG SIGNALS VIA APPLYING WAVELET TRANSFORM
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[23]	Selection of proper frequency band and compatible features for left and right hand movement from EEG signal analysis 16th Int'l Conf. Computer and Information Technology, 2014 DOI:10.1109/ICCITechn.2014.6997366

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