Cargando…
Epilepsy EEG Signal Classification Algorithm Based on Improved RBF
Epilepsy is a chronic recurrent transient brain dysfunction syndrome. It is characterized by recurrent epilepsy caused by abnormal discharge of brain neurons. Epilepsy is one of the common diseases in nervous system. The analysis of EEG signals is a hot topic in current research. In order to solve t...
Autores principales: | Zhou, Dongmei, Li, Xuemei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324866/ https://www.ncbi.nlm.nih.gov/pubmed/32655355 http://dx.doi.org/10.3389/fnins.2020.00606 |
Ejemplares similares
-
An RBF neural network based on improved black widow optimization algorithm for classification and regression problems
por: Liu, Hui, et al.
Publicado: (2023) -
Review of Sparse Representation-Based Classification Methods on EEG Signal Processing for Epilepsy Detection, Brain-Computer Interface and Cognitive Impairment
por: Wen, Dong, et al.
Publicado: (2016) -
Evolutionary Algorithm Based Feature Optimization for Multi-Channel EEG Classification
por: Wang, Yubo, et al.
Publicado: (2017) -
Electrocardiogram Signal Classification in the Diagnosis of Heart Disease Based on RBF Neural Network
por: Fang, Yan, et al.
Publicado: (2022) -
A Comparison of RBF Neural Network Training Algorithms for Inertial Sensor Based Terrain Classification
por: Kurban, Tuba, et al.
Publicado: (2009)