Topological properties of flat electroencephalography’s state space
Neuroinverse problem are often associated with complex neuronal activity. It involves locating problematic cell which is highly challenging. While epileptic foci localization is possible with the aid of EEG signals, it relies greatly on the ability to extract hidden information or pattern within EEG...
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AIP Publishing
2016
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| Online Access: | http://umpir.ump.edu.my/id/eprint/30792/1/Topological%20properties%20of%20flat%20electroencephalography%E2%80%99s%20state%20space.pdf http://umpir.ump.edu.my/id/eprint/30792/ https://doi.org/10.1063/1.4940264 |
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| author | Tan, Lit Ken Tahir, Ahmad Mohd Sham, Mohamad Ngien, S. K. Suwa, Tohru Ong, Sie Meng |
| author_facet | Tan, Lit Ken Tahir, Ahmad Mohd Sham, Mohamad Ngien, S. K. Suwa, Tohru Ong, Sie Meng |
| author_sort | Tan, Lit Ken |
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| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Neuroinverse problem are often associated with complex neuronal activity. It involves locating problematic cell which is highly challenging. While epileptic foci localization is possible with the aid of EEG signals, it relies greatly on the ability to extract hidden information or pattern within EEG signals. Flat EEG being an enhancement of EEG is a way of viewing electroencephalograph on the real plane. In the perspective of dynamical systems, Flat EEG is equivalent to epileptic seizure hence, making it a great platform to study epileptic seizure. Throughout the years, various mathematical tools have been applied on Flat EEG to extract hidden information that is hardly noticeable by traditional visual inspection. While these tools have given worthy results, the journey towards understanding seizure process completely is yet to be succeeded. Since the underlying structure of Flat EEG is dynamic and is deemed to contain wealthy information regarding brainstorm, it would certainly be appealing to explore in depth its structures. To better understand the complex seizure process, this paper studies the event of epileptic seizure via Flat EEG in a more general framework by means of topology, particularly, on the state space where the event of Flat EEG lies. |
| format | Conference or Workshop Item |
| id | my.ump.umpir.30792 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2016 |
| publisher | AIP Publishing |
| record_format | eprints |
| spelling | my.ump.umpir.307922021-02-25T08:09:04Z http://umpir.ump.edu.my/id/eprint/30792/ Topological properties of flat electroencephalography’s state space Tan, Lit Ken Tahir, Ahmad Mohd Sham, Mohamad Ngien, S. K. Suwa, Tohru Ong, Sie Meng TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Neuroinverse problem are often associated with complex neuronal activity. It involves locating problematic cell which is highly challenging. While epileptic foci localization is possible with the aid of EEG signals, it relies greatly on the ability to extract hidden information or pattern within EEG signals. Flat EEG being an enhancement of EEG is a way of viewing electroencephalograph on the real plane. In the perspective of dynamical systems, Flat EEG is equivalent to epileptic seizure hence, making it a great platform to study epileptic seizure. Throughout the years, various mathematical tools have been applied on Flat EEG to extract hidden information that is hardly noticeable by traditional visual inspection. While these tools have given worthy results, the journey towards understanding seizure process completely is yet to be succeeded. Since the underlying structure of Flat EEG is dynamic and is deemed to contain wealthy information regarding brainstorm, it would certainly be appealing to explore in depth its structures. To better understand the complex seizure process, this paper studies the event of epileptic seizure via Flat EEG in a more general framework by means of topology, particularly, on the state space where the event of Flat EEG lies. AIP Publishing 2016-02-01 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/30792/1/Topological%20properties%20of%20flat%20electroencephalography%E2%80%99s%20state%20space.pdf Tan, Lit Ken and Tahir, Ahmad and Mohd Sham, Mohamad and Ngien, S. K. and Suwa, Tohru and Ong, Sie Meng (2016) Topological properties of flat electroencephalography’s state space. In: AIP Conference Proceedings, Progress In Applied Mathematics In Science And Engineering Proceedings , 29 September - 1 October 2015 , Bali, Indonesia. pp. 1-2., 1705 (020016). ISSN 0094-243X ISBN 978-0-7354-1352-8 (Published) https://doi.org/10.1063/1.4940264 |
| spellingShingle | TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Tan, Lit Ken Tahir, Ahmad Mohd Sham, Mohamad Ngien, S. K. Suwa, Tohru Ong, Sie Meng Topological properties of flat electroencephalography’s state space |
| title | Topological properties of flat electroencephalography’s state space |
| title_full | Topological properties of flat electroencephalography’s state space |
| title_fullStr | Topological properties of flat electroencephalography’s state space |
| title_full_unstemmed | Topological properties of flat electroencephalography’s state space |
| title_short | Topological properties of flat electroencephalography’s state space |
| title_sort | topological properties of flat electroencephalography’s state space |
| topic | TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/30792/1/Topological%20properties%20of%20flat%20electroencephalography%E2%80%99s%20state%20space.pdf http://umpir.ump.edu.my/id/eprint/30792/ https://doi.org/10.1063/1.4940264 |
| url_provider | http://umpir.ump.edu.my/ |