EEG analysis based on wavelet-spectral entropy for epileptic seizures detection
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Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5624551/5639231/05639894.pdf?arnumber=5639894
Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Epileptic Activity Detection using Mean Value, RMS, Sample Entropy, and Permutation Entropy Methods;The Journal of Cognitive Systems;2023-07-01
2. Statistical Features in High-Frequency Bands of Interictal iEEG Work Efficiently in Identifying the Seizure Onset Zone in Patients with Focal Epilepsy;Entropy;2020-12-15
3. Graph Eigen Decomposition-Based Feature-Selection Method for Epileptic Seizure Detection Using Electroencephalography;Sensors;2020-08-18
4. Multiband entropy-based feature-extraction method for automatic identification of epileptic focus based on high-frequency components in interictal iEEG;Scientific Reports;2020-04-27
5. Spectral entropy indicates electrophysiological and hemodynamic changes in drug-resistant epilepsy – A multimodal MREG study;NeuroImage: Clinical;2019
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