"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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[1] Epileptic seizures detection based on some new Laguerre polynomial wavelets, artificial neural networks and support vector machines
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[2] Comparison of Fuzzy Output Optimization with Expectation Maximization Algorithm and Its Modification for Epilepsy Classification
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[3] EEG signals classification based on autoregressive and inherently quantum recurrent neural network
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[4] Advances in Pattern Recognition
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[5] 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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[6] Automatic Epileptic Seizure Detection in EEG Using Nonsubsampled Wavelet–Fourier Features
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[7] An extensive review on development of EEG-based computer-aided diagnosis systems for epilepsy detection
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[8] Automated recognition of epilepsy from EEG signals
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[9] Detection of epileptic seizure from EEG signals by using teager energy and Hilbert transform
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[10] A Review of Automated Methodologies for the Detection of Epileptic Episodes Using Long-Term EEG Signals
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[11] Time-Frequency Analysis of Epileptic EEG for Seizure Detection
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[12] Epileptic seizure detection from EEG signals by using wavelet and Hilbert transform
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[13] Classification of EEG data sets with Hilbert transform
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[14] Left and Right Hand Movements EEG Signals Classification Using Wavelet Transform and Probabilistic Neural Network
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[15] Automatic EEG seizure detection using dual-tree complex wavelet-Fourier features
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[16] Epilepsy Seizure Detection in EEG Signals Using Wavelet Transforms and Neural Networks
E Juárez-Guerra, V Alarcon-Aquino, P Gómez-Gil - ccc.inaoep.mx, 2014
[17] Automated Detection of Interictal Spikes in EEG: A literature review
FD de Moraes, DA Callegari - pucrs.br, 2014
[18] DALGACIK DÖNÜŞÜMÜ KULLANILARAK EEG İŞARETLERİNDE EPİLEPTİK NÖBET TESPİTİ DETECTION OF EPILEPTIC SEIZURES IN EEG SIGNALS VIA APPLYING WAVELET TRANSFORM
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[19] DALGACIK DÖNÜŞÜMÜ KULLANILARAK EEG İŞARETLERİNDE EPİLEPTİK NÖBET TESPİTİ DETECTION OF EPILEPTIC SEIZURES IN EEG SIGNALS VIA …
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[20] Selection of proper frequency band and compatible features for left and right hand movement from EEG signal analysis
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[21] Biomedical Signal Processing Using Wavelet-Based Neural Networks
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[22] Artefact detection and removal algorithms for EEG diagnostic systems
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