Epilepsy detection using EEG signals

In the field of medical science, one of the major recent researches is the diagnosis of the abnormalities in brain. Electroencephalogram (EEG) signal is a neuro signal which is generated due the different electrical activities in the brain. These signals can be captured and processed to get the usef...

Full description

Bibliographic Details
Main Authors:	Amer, Salam, M. Nomani, Kabir, Ahmed, Abdulghani Ali, Farhan, Khalid
Format:	Conference or Workshop Item
Language:	English English
Published:	Universiti Malaysia Pahang 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/22440/ http://umpir.ump.edu.my/id/eprint/22440/1/62.%20Epilepsy%20detection%20using%20eeg%20signals.pdf http://umpir.ump.edu.my/id/eprint/22440/2/62.1%20Epilepsy%20detection%20using%20eeg%20signals.pdf

id	ump-22440
recordtype	eprints
spelling	ump-224402018-12-13T02:27:50Z http://umpir.ump.edu.my/id/eprint/22440/ Epilepsy detection using EEG signals Amer, Salam M. Nomani, Kabir Ahmed, Abdulghani Ali Farhan, Khalid QA76 Computer software In the field of medical science, one of the major recent researches is the diagnosis of the abnormalities in brain. Electroencephalogram (EEG) signal is a neuro signal which is generated due the different electrical activities in the brain. These signals can be captured and processed to get the useful information that can be used in early detection of some mental and brain diseases. Suitable analysis is essential for EEG to differentiate between normal and abnormal signals in order to detect epilepsy which is one of the most common neurological disorders. Epilepsy is a recurrent seizure disorder caused by abnormal electrical discharges from the brain cells, often in the cerebral cortex. This research focuses on the usefulness of EGG signal in detecting seizure activities in brainwaves. Feature extraction of EEG signals is core issue to carry out brain analysis. In this research, feature extraction has been performed using wavelet transform. These features have been applied to Neural Networks for EEG classification. Universiti Malaysia Pahang 2018 Conference or Workshop Item NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22440/1/62.%20Epilepsy%20detection%20using%20eeg%20signals.pdf pdf en http://umpir.ump.edu.my/id/eprint/22440/2/62.1%20Epilepsy%20detection%20using%20eeg%20signals.pdf Amer, Salam and M. Nomani, Kabir and Ahmed, Abdulghani Ali and Farhan, Khalid (2018) Epilepsy detection using EEG signals. In: International Conference on Intelligent Computing and Optimization (ICO2018), 4 - 5 Oct 2018 , Pattaya, Thailand. pp. 1-18.. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Amer, Salam M. Nomani, Kabir Ahmed, Abdulghani Ali Farhan, Khalid Epilepsy detection using EEG signals
description	In the field of medical science, one of the major recent researches is the diagnosis of the abnormalities in brain. Electroencephalogram (EEG) signal is a neuro signal which is generated due the different electrical activities in the brain. These signals can be captured and processed to get the useful information that can be used in early detection of some mental and brain diseases. Suitable analysis is essential for EEG to differentiate between normal and abnormal signals in order to detect epilepsy which is one of the most common neurological disorders. Epilepsy is a recurrent seizure disorder caused by abnormal electrical discharges from the brain cells, often in the cerebral cortex. This research focuses on the usefulness of EGG signal in detecting seizure activities in brainwaves. Feature extraction of EEG signals is core issue to carry out brain analysis. In this research, feature extraction has been performed using wavelet transform. These features have been applied to Neural Networks for EEG classification.
format	Conference or Workshop Item
author	Amer, Salam M. Nomani, Kabir Ahmed, Abdulghani Ali Farhan, Khalid
author_facet	Amer, Salam M. Nomani, Kabir Ahmed, Abdulghani Ali Farhan, Khalid
author_sort	Amer, Salam
title	Epilepsy detection using EEG signals
title_short	Epilepsy detection using EEG signals
title_full	Epilepsy detection using EEG signals
title_fullStr	Epilepsy detection using EEG signals
title_full_unstemmed	Epilepsy detection using EEG signals
title_sort	epilepsy detection using eeg signals
publisher	Universiti Malaysia Pahang
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/22440/ http://umpir.ump.edu.my/id/eprint/22440/1/62.%20Epilepsy%20detection%20using%20eeg%20signals.pdf http://umpir.ump.edu.my/id/eprint/22440/2/62.1%20Epilepsy%20detection%20using%20eeg%20signals.pdf
first_indexed	2023-09-18T22:33:24Z
last_indexed	2023-09-18T22:33:24Z
_version_	1777416435846348800

Epilepsy detection using EEG signals

Similar Items