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Research Proposal on Epilepsy Prediction

Epilepsy Prediction

Research Proposal on Epilepsy Prediction

Related Papers

An Adaptive Classification Model for Predicting Epileptic Seizures Using Cloud Computing Service Architecture-[2022]
Comparative analysis of multiple machine learning algorithms for epileptic seizure prediction-[2022]
Pediatric Seizure Prediction in Scalp EEG Using a Multi-Scale Neural Network With Dilated Convolutions-[2022]
Review on Epileptic Seizure Prediction: Machine Learning and Deep Learning Approaches-[2022]
Seizure Prediction Based on Transformer Using Scalp Electroencephalogram-[2022]
Two-layer LSTM network-based prediction of epileptic seizures using EEG spectral features-[2022]
A Generative Model to Synthesize EEG Data for Epileptic Seizure Prediction-[2021]
A Hybrid DenseNet-LSTM Model for Epileptic Seizure Prediction-[2021]
A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction-[2021]
A deep learning based ensemble learning method for epileptic seizure prediction-[2021]
A lightweight solution to epileptic seizure prediction based on EEG synchronization measurement-[2021]
An Effective Dual Self-Attention Residual Network for Seizure Prediction-[2021]
Comprehensive Analysis of EEG Datasets for Epileptic Seizure Prediction-[2021]
Deep learning based efficient epileptic seizure prediction with EEG channel optimization-[2021]
Dynamic learning framework for epileptic seizure prediction using sparsity based EEG Reconstruction with Optimized CNN classifier-[2021]
Epilepsy prediction through optimized multidimensional sample entropy and Bi-LSTM-[2021]
Epileptic seizure prediction using scalp electroencephalogram signals-[2021]
Heart rate variability analysis for the identification of the preictal interval in patients with drug-resistant epilepsy-[2021]
Open and free EEG datasets for epilepsy diagnosis-[2021]
Patient-Specific Seizure Prediction Using Single Seizure Electroencephalography Recording-[2021]
Performance Evaluation of Epileptic Seizure Prediction Using Time, Frequency, and Time-Frequency Domain Measures-[2021]
Trends and Challenges of Processing Measurements from Wearable Devices Intended for Epileptic Seizure Prediction-[2021]
An End-to-End Deep Learning Approach for Epileptic Seizure Prediction-[2020]
Comparative Analysis of Various Machine Learning Techniques for Epileptic Seizures Detection and Prediction Using EEG Data-[2020]
Epileptic seizure prediction based on EEG spikes detection of ictal-preictal states-[2020]
Epileptic seizure prediction by the detection of seizure waveform from the pre-ictal phase of EEG signal-[2020]
Machine Learning for Predicting Epileptic Seizures Using EEG Signals:A Review-[2020]
Preictal and Interictal Recognition for Epileptic Seizure Prediction Using Pre-trained 2D-CNN Models-[2020]
Research on epileptic EEG recognition based on improved residual networks of 1-D CNN and indRNN-[2020]
Robust feature learning method for epileptic seizures prediction based on long-term EEG signals-[2020]
Seizure Prediction Using Multi-View Features and Improved Convolutional Gated Recurrent Network-[2020]
A Convolutional Gated Recurrent Neural Network for Epileptic Seizure Prediction-[2019]
Early prediction of epileptic seizures using a long-term recurrent convolutional network-[2019]
Efficient Epileptic Seizure Prediction Based on Deep Learning-[2019]
Epilepsy Seizure Prediction on EEG Using Common Spatial Pattern and Convolutional Neural Network-[2019]
Epileptic Seizure Prediction With Multi-View Convolutional Neural Networks-[2019]
Epileptic Seizure Prediction in EEG Signals using EMD and DWT-[2019]
Epileptic seizure detection and prediction using stacked bidirectional long short term memory-[2019]
Preictal Time Assessment using Heart Rate Variability Features in Drug-resistant Epilepsy Patients-[2019]
Seizure Prediction in Scalp EEG Using 3D Convolutional Neural Networks With an Image-Based Approach-[2019]
Seizure Prediction with Adaptive Feature Representation Learning-[2019]
Using scalp EEG and intracranial EEG signals for predicting epileptic seizures: Review of available methodologies-[2019]
A GENERALIZABLE MODEL FOR SEIZURE PREDICTION BASED ON DEEP LEARNING USING CNN-LSTM ARCHITECTURE-[2018]
A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals-[2018]
Convolutional neural networks for seizure prediction using intracranial and scalp electroencephalogram-[2018]
Epileptic Seizure Prediction over EEG Data using Hybrid CNN-SVM Model with Edge Computing Services-[2018]
Learning EEG synchronization patterns for epileptic seizure prediction using bag-of-wave features-[2018]
Seizure Prediction - Ready for a New Era-[2018]
Towards accurate prediction of epileptic seizures: A review-[2017]
On the proper selection of preictal period for seizure prediction-[2015]
Ictal and peri-ictal psychopathology-[2011]

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