Epileptic Seizures Detection Using Deep Learning Techniques: A Review
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- Fulvio Lauretani & Yari Longobucco & Giulia Ravazzoni & Elena Gallini & Marco Salvi & Marcello Maggio, 2021. "Imaging the Functional Neuroanatomy of Parkinson’s Disease: Clinical Applications and Future Directions," IJERPH, MDPI, vol. 18(5), pages 1-11, February.
- Andrea V. Perez-Sanchez & Carlos A. Perez-Ramirez & Martin Valtierra-Rodriguez & Aurelio Dominguez-Gonzalez & Juan P. Amezquita-Sanchez, 2020. "Wavelet Transform-Statistical Time Features-Based Methodology for Epileptic Seizure Prediction Using Electrocardiogram Signals," Mathematics, MDPI, vol. 8(12), pages 1-17, November.
- Ozal Yildirim & Ulas Baran Baloglu & U Rajendra Acharya, 2019. "A Deep Learning Model for Automated Sleep Stages Classification Using PSG Signals," IJERPH, MDPI, vol. 16(4), pages 1-21, February.
- Ahmad M. Karim & Mehmet S. Güzel & Mehmet R. Tolun & Hilal Kaya & Fatih V. Çelebi, 2018. "A New Generalized Deep Learning Framework Combining Sparse Autoencoder and Taguchi Method for Novel Data Classification and Processing," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-13, June.
- Seonho Kim & Jungjoon Kim & Hong-Woo Chun, 2018. "Wave2Vec: Vectorizing Electroencephalography Bio-Signal for Prediction of Brain Disease," IJERPH, MDPI, vol. 15(8), pages 1-21, August.
- The-Hanh Pham & Jahmunah Vicnesh & Joel Koh En Wei & Shu Lih Oh & N. Arunkumar & Enas. W. Abdulhay & Edward J. Ciaccio & U. Rajendra Acharya, 2020. "Autism Spectrum Disorder Diagnostic System Using HOS Bispectrum with EEG Signals," IJERPH, MDPI, vol. 17(3), pages 1-15, February.
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- Christian Riccio & Angelo Martone & Gaetano Zazzaro & Luigi Pavone, 2024. "Training Datasets for Epilepsy Analysis: Preprocessing and Feature Extraction from Electroencephalography Time Series," Data, MDPI, vol. 9(5), pages 1-10, April.
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Keywords
epileptic seizures; diagnosis; EEG; MRI; feature extraction; classification; deep learning;All these keywords.
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