Flat electroencephalography’s cluster centers movement tracking during epileptic seizure

Flat electroencephalography’s cluster centers movement tracking during epileptic seizure

Epilepsy is a term used for a chronic disorder caused by excessive and abnormal nerve cell activity within the brain. This dynamic process is often associated with electroencephalography (EEG), which is an electrophysical method to record the electrical activity of the brain. For epilepsy patients,...

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Main Authors: Mukhni, Syu’aiba, Tan, Lit Ken, Nor Azwadi, Che Sidik, Goh, Chien Yong, Lee, Kee Quen, Chuan, Zun Liang, Asako, Yutaka
Format: Conference or Workshop Item
Language:English
Published: American Institute of Physics Inc. 2018
Subjects:
Q Science (General)
Online Access:http://umpir.ump.edu.my/id/eprint/22412/
http://umpir.ump.edu.my/id/eprint/22412/
http://umpir.ump.edu.my/id/eprint/22412/1/Flat%20Electroencephalography%E2%80%99s%20cluster%20centers%20movement%20tracking%20during%20Epileptic%20Seizure.pdf
id ump-22412
recordtype eprints
spelling ump-224122018-12-11T02:58:24Z http://umpir.ump.edu.my/id/eprint/22412/ Flat electroencephalography’s cluster centers movement tracking during epileptic seizure Mukhni, Syu’aiba Tan, Lit Ken Nor Azwadi, Che Sidik Goh, Chien Yong Lee, Kee Quen Chuan, Zun Liang Asako, Yutaka Q Science (General) Epilepsy is a term used for a chronic disorder caused by excessive and abnormal nerve cell activity within the brain. This dynamic process is often associated with electroencephalography (EEG), which is an electrophysical method to record the electrical activity of the brain. For epilepsy patients, their EEG signals are characterized by abnormal signal flow and large spikes. This shows the excessive electrical activity within the brain can be extracted thus locating problematic cells of epilepsy is possible. However, it is very challenging due to the complexity of the signals to be analyzed. Through fEEG, the signals can be viewed in a Cartesian plane which consists of EEG’s channels and cluster center of electrical potential during epilepsy. To date, no research has been done on across time-frame of fEEG. In order to gain better insight into the dynamic process of epilepsy, a dynamic study on the cluster center movement across time-frame is necessary. Therefore, this study to shows the tracking of cluster centers movements across time-frame of fEEG. This movement tracking is essentials to understand the behavior of epilepsy such as the patterns of electrical potential. Further studies on the model could potentially assist in locating the problematic cells caused by epilepsy. American Institute of Physics Inc. 2018-09 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22412/1/Flat%20Electroencephalography%E2%80%99s%20cluster%20centers%20movement%20tracking%20during%20Epileptic%20Seizure.pdf Mukhni, Syu’aiba and Tan, Lit Ken and Nor Azwadi, Che Sidik and Goh, Chien Yong and Lee, Kee Quen and Chuan, Zun Liang and Asako, Yutaka (2018) Flat electroencephalography’s cluster centers movement tracking during epileptic seizure. In: AIP Conference Proceedings: 3rd International Conference on Applied Science and Technology, ICAST 2018, 10-12 April 2018 , Georgetown, Penang. pp. 1-6., 2016. ISSN 0094243X ISBN 978-073541734-2 https://aip.scitation.org/doi/abs/10.1063/1.5055505
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic Q Science (General)
spellingShingle Q Science (General)
Mukhni, Syu’aiba
Tan, Lit Ken
Nor Azwadi, Che Sidik
Goh, Chien Yong
Lee, Kee Quen
Chuan, Zun Liang
Asako, Yutaka
Flat electroencephalography’s cluster centers movement tracking during epileptic seizure
description Epilepsy is a term used for a chronic disorder caused by excessive and abnormal nerve cell activity within the brain. This dynamic process is often associated with electroencephalography (EEG), which is an electrophysical method to record the electrical activity of the brain. For epilepsy patients, their EEG signals are characterized by abnormal signal flow and large spikes. This shows the excessive electrical activity within the brain can be extracted thus locating problematic cells of epilepsy is possible. However, it is very challenging due to the complexity of the signals to be analyzed. Through fEEG, the signals can be viewed in a Cartesian plane which consists of EEG’s channels and cluster center of electrical potential during epilepsy. To date, no research has been done on across time-frame of fEEG. In order to gain better insight into the dynamic process of epilepsy, a dynamic study on the cluster center movement across time-frame is necessary. Therefore, this study to shows the tracking of cluster centers movements across time-frame of fEEG. This movement tracking is essentials to understand the behavior of epilepsy such as the patterns of electrical potential. Further studies on the model could potentially assist in locating the problematic cells caused by epilepsy.
format Conference or Workshop Item
author Mukhni, Syu’aiba
Tan, Lit Ken
Nor Azwadi, Che Sidik
Goh, Chien Yong
Lee, Kee Quen
Chuan, Zun Liang
Asako, Yutaka
author_facet Mukhni, Syu’aiba
Tan, Lit Ken
Nor Azwadi, Che Sidik
Goh, Chien Yong
Lee, Kee Quen
Chuan, Zun Liang
Asako, Yutaka
author_sort Mukhni, Syu’aiba
title Flat electroencephalography’s cluster centers movement tracking during epileptic seizure
title_short Flat electroencephalography’s cluster centers movement tracking during epileptic seizure
title_full Flat electroencephalography’s cluster centers movement tracking during epileptic seizure
title_fullStr Flat electroencephalography’s cluster centers movement tracking during epileptic seizure
title_full_unstemmed Flat electroencephalography’s cluster centers movement tracking during epileptic seizure
title_sort flat electroencephalography’s cluster centers movement tracking during epileptic seizure
publisher American Institute of Physics Inc.
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/22412/
http://umpir.ump.edu.my/id/eprint/22412/
http://umpir.ump.edu.my/id/eprint/22412/1/Flat%20Electroencephalography%E2%80%99s%20cluster%20centers%20movement%20tracking%20during%20Epileptic%20Seizure.pdf
first_indexed 2023-09-18T22:33:21Z
last_indexed 2023-09-18T22:33:21Z
_version_ 1777416432410165248

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