目录
- Editorial commentary on special issue of Advances in EEG Signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction
- EEG epileptic seizure detection and classification based on dual-tree complex wavelet transform and machine learning algorithms
- Epileptic seizure prediction based on EEG spikes detection of ictal-preictal states
- Hidden Markov model based epileptic seizure detection using tunable Q wavelet transform
- Classification of low-density EEG for epileptic seizures by energy and fractal features based on EMD
- An optimized design of seizure detection system using joint feature extraction of multichannel EEG signals
- A quadratic linear-parabolic model-based EEG classification to detect epileptic seizures
- Complexity analysis and dynamic characteristics of EEG using MODWT based entropies for identification of seizure onset
- Epileptic seizure detection using EEG signals and extreme gradient boosting
- Deep learning approach to detect seizure using reconstructed phase space images