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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…

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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

  • Knihovna Akademie věd České republiky

Aggregator

  • Česká digitální knihovna

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

  • 336_CZ_DigitalLibrary_article

Timestamp created

  • 2021-06-01T12:19:28.026Z

Timestamp updated

  • 2021-06-01T12:19:28.026Z