Epileptic seizure detection using a neural network ensemble method and wavelet transform
This paper presents a new method to automate the process of epileptic seizure detection in electroencephalogram (EEG) signals using wavelet transform and an improved version of negative correlation learning (NCL) algorithm. An improved version of NCL is proposed by incorporating the capability of gating network, as a dynamic combining part of the mixture of experts (ME), into the combining outputs…
Creator
- Ebrahimpour , Reza
- Babakhani, Kioumars
- Abbaszadeh Arani, Seyed Ali Asghar
- Masoudnia, Saeed
Subject
- Epileptic seizure
- electroencephalogram (EEG) signals
- discrete wavelet transform
- mixture of experts
- negatively correlated learning
Type of item
- model:article
Creator
- Ebrahimpour , Reza
- Babakhani, Kioumars
- Abbaszadeh Arani, Seyed Ali Asghar
- Masoudnia, Saeed
Subject
- Epileptic seizure
- electroencephalogram (EEG) signals
- discrete wavelet transform
- mixture of experts
- negatively correlated learning
Type of item
- model:article
Providing institution
Aggregator
Rights statement for the media in this item (unless otherwise specified)
- http://creativecommons.org/publicdomain/mark/1.0/
User generated content
- false
Rights
- policy:public
Source
- Neural network world: international journal on neural and mass-parallel computing and information systems | 2012 Volume:22 | Number:3
Identifier
- uuid:0e6b5441-4533-4f11-a89a-2ebaf4b46678
- https://cdk.lib.cas.cz/client/handle/uuid:0e6b5441-4533-4f11-a89a-2ebaf4b46678
- uuid:0e6b5441-4533-4f11-a89a-2ebaf4b46678
- doi:10.14311/NNW.2012.22.017
Format
- bez média
- svazek
Language
- eng
- eng
Providing country
- Czech Republic
Collection name
Timestamp created
- 2021-06-01T12:19:28.026Z
Timestamp updated
- 2021-06-01T12:19:28.026Z