Ngram-derived pattern recognition for the detection and prediction of epileptic seizures.
This work presents a new method that combines symbol dynamics methodologies with an Ngram algorithm for the detection and prediction of epileptic seizures. The presented approach specifically applies Ngram-based pattern recognition, after data pre-processing, with similarity metrics, including the H...
Guardado en:
Autores principales: | Amir Eftekhar, Walid Juffali, Jamil El-Imad, Timothy G Constandinou, Christofer Toumazou |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2014
|
Materias: | |
Acceso en línea: | https://doaj.org/article/7f2b24c3c3144f61832d8987825a110f |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Wearable Detection Systems for Epileptic Seizure: A review
por: Alla Fikrat Alwindawi, et al.
Publicado: (2020) -
Recent advances in predicting and preventing epileptic seizures
Publicado: (2013) -
KCC2 downregulation facilitates epileptic seizures
por: Lulan Chen, et al.
Publicado: (2017) -
Medical management of epileptic seizures: challenges and solutions
por: Sarma AK, et al.
Publicado: (2016) -
Epileptic Seizures Detection in EEG Signals Using Fusion Handcrafted and Deep Learning Features
por: Anis Malekzadeh, et al.
Publicado: (2021)