Epileptic EEG Classification by Using Time-Frequency Images for Deep Learning
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Epileptic EEG Classification by Using Time-Frequency Images for Deep Learning
Authors
Keywords
-
Journal
International Journal of Neural Systems
Volume 31, Issue 08, Pages 2150026
Publisher
World Scientific Pub Co Pte Lt
Online
2021-05-27
DOI
10.1142/s012906572150026x
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Automatic sleep stage classification using time–frequency images of CWT and transfer learning using convolution neural network
- (2020) Pankaj Jadhav et al. Biocybernetics and Biomedical Engineering
- Optimization of virtual and real registration technology based on augmented reality in a surgical navigation system
- (2020) Long Chen et al. Biomedical Engineering Online
- Automatic Seizure Detection Using Fully Convolutional Nested LSTM
- (2020) Yang Li et al. International Journal of Neural Systems
- Adjusting the imbalance ratio by the dimensionality of imbalanced data
- (2020) Rui Zhu et al. PATTERN RECOGNITION LETTERS
- Cross-Subject Seizure Detection in EEGs Using Deep Transfer Learning
- (2020) Baocan Zhang et al. Computational and Mathematical Methods in Medicine
- Supervised domain generalization for integration of disparate scalp EEG datasets for automatic epileptic seizure detection
- (2020) K.P. Ayodele et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Automated Detection of Interictal Epileptiform Discharges from Scalp Electroencephalograms by Convolutional Neural Networks
- (2020) John Thomas et al. International Journal of Neural Systems
- EEG-based emotion recognition with deep convolutional neural networks
- (2020) Mehmet Akif Ozdemir et al. Biomedical Engineering-Biomedizinische Technik
- Alternative Diagnosis of Epilepsy in Children without Eileptiform Discharges Using Deep Convolutional Neural Networks
- (2019) Lung-Chang Lin et al. International Journal of Neural Systems
- Applying Deep Learning for Epilepsy Seizure Detection and Brain Mapping Visualization
- (2019) M. Shamim Hossain et al. ACM Transactions on Multimedia Computing Communications and Applications
- Scalp EEG epileptogenic zone recognition and localization based on long-term recurrent convolutional network
- (2019) Weixia Liang et al. NEUROCOMPUTING
- Automatic epileptic EEG detection using convolutional neural network with improvements in time-domain
- (2019) Zuochen Wei et al. Biomedical Signal Processing and Control
- Reachability Analysis of Neural Masses and Seizure Control Based on Combination Convolutional Neural Network
- (2019) Zhen Ma International Journal of Neural Systems
- Automatic Seizure Detection Based on S-Transform and Deep Convolutional Neural Network
- (2019) Guoyang Liu et al. International Journal of Neural Systems
- Performance evaluation of empirical mode decomposition, discrete wavelet transform, and wavelet packed decomposition for automated epileptic seizure detection and prediction
- (2018) Emina Alickovic et al. Biomedical Signal Processing and Control
- A Long Short-Term Memory deep learning network for the prediction of epileptic seizures using EEG signals
- (2018) Κostas Μ. Tsiouris et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A new feature for the classification of non-stationary signals based on the direction of signal energy in the time–frequency domain
- (2018) Nabeel Ali Khan et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Neonatal Seizure Detection Using Deep Convolutional Neural Networks
- (2018) Amir H. Ansari et al. International Journal of Neural Systems
- Epileptic Seizure Detection Based on Time-Frequency Images of EEG Signals Using Gaussian Mixture Model and Gray Level Co-Occurrence Matrix Features
- (2018) Yang Li et al. International Journal of Neural Systems
- Epileptic Seizure Detection Based on EEG Signals and CNN
- (2018) Mengni Zhou et al. Frontiers in Neuroinformatics
- Gray-level co-occurrence matrix of Fourier synchro-squeezed transform for epileptic seizure detection
- (2018) Shamzin Mamli et al. Biocybernetics and Biomedical Engineering
- Synchroextracting Transform
- (2017) Gang Yu et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- A new approach to characterize epileptic seizures using analytic time-frequency flexible wavelet transform and fractal dimension
- (2017) Manish Sharma et al. PATTERN RECOGNITION LETTERS
- Epileptic seizure detection based on imbalanced classification and wavelet packet transform
- (2017) Qi Yuan et al. SEIZURE-EUROPEAN JOURNAL OF EPILEPSY
- Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals
- (2017) U. Rajendra Acharya et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A high-performance seizure detection algorithm based on Discrete Wavelet Transform (DWT) and EEG
- (2017) Duo Chen et al. PLoS One
- The detection of epileptic seizure signals based on fuzzy entropy
- (2015) Jie Xiang et al. JOURNAL OF NEUROSCIENCE METHODS
- Synchrosqueezing-based time-frequency analysis of multivariate data
- (2015) Alireza Ahrabian et al. SIGNAL PROCESSING
- Automated diagnosis of epileptic EEG using entropies
- (2011) U. Rajendra Acharya et al. Biomedical Signal Processing and Control
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now