Classification of EEG Signals using Fast Fourier Transform (FFT) and Adaptive Neuro Fuzzy Inference System (ANFIS)
Epilepsy is a disease that attacks the brain and results in seizures due to neurological disorders. The electrical activity of the brain recorded by the EEG signal test, because EEG test can be used to diagnose brain and mental diseases such as epilepsy. This study aims to identify whether a person...
Guardado en:
Autores principales: | Suwanto Suwanto, M. Hasan Bisri, Dian Candra Rini Novitasari, Ahmad Hanif Asyhar |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Department of Mathematics, UIN Sunan Ampel Surabaya
2019
|
Materias: | |
Acceso en línea: | https://doaj.org/article/a53d6841c03b4d499cf57b5fcd11403f |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Klasifikasi Sinyal EEG Menggunakan Metode Fuzzy C-Means Clustering (FCM) Dan Adaptive Neighborhood Modified Backpropagation (ANMBP)
por: Dian Candra Rini
Publicado: (2015) -
A Novel Spike-Wave Discharge Detection Framework Based on the Morphological Characteristics of Brain Electrical Activity Phase Space in an Animal Model
por: Saleh Lashkari, et al.
Publicado: (2021) -
Seizure Semiology, EEG, and Imaging Findings in Epilepsy Secondary to Mitochondrial Disease
por: Anthony L. Fine, et al.
Publicado: (2021) -
COMPARISON OF VARIOUS EEG ELECTRODE PLACEMENT SYSTEMS TO DETECT EPILEPTIFORM ABNORMALITIES IN INFANTS
por: Sajeesh Parameswaran, et al.
Publicado: (2021) -
sEEG for expansion of a surgical epilepsy program: Safety and efficacy in 152 consecutive cases
por: Christopher Miller, et al.
Publicado: (2021)