Structural stability of flat electroencephalography
Flat Electroencephalography is a way of viewing electroencephalography signals on the first component of Fuzzy Topograhic Topological Mapping (FTTM), a model which was designed to solve neuromagnetic inverse problem. This novel method is well known for its ability to preserves the orientation and ma...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Published: |
Zhengzhou University
2014
|
| Subjects: |
| _version_ | 1796861318028853248 |
|---|---|
| author | Tan, Lit Ken Ahmad, Tahir |
| author_facet | Tan, Lit Ken Ahmad, Tahir |
| author_sort | Tan, Lit Ken |
| collection | ePrints |
| description | Flat Electroencephalography is a way of viewing electroencephalography signals on the first component of Fuzzy Topograhic Topological Mapping (FTTM), a model which was designed to solve neuromagnetic inverse problem. This novel method is well known for its ability to preserves the orientation and magnitude of EEG sensors and signals. However, this preservation renders Flat EEG to contain unwanted signals captured during recording from the surroundings. Consequently, its accuracy in depicting actual electrical activity inside the brain is affected. Present of artifacts would pose a serious problem if it is large. Thusly, this study will investigate the persistence of Flat EEG to surrounding "noises" from dynamic viewpoint by means of structural stability. Basically, it will be showed that Flat EEG in the presence of "noises" may still reflects the actual electrical activity inside the brain, if the contaminated Flat EEG falls within a class of dynamical systems. |
| first_indexed | 2024-03-05T19:54:31Z |
| format | Article |
| id | utm.eprints-62694 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T19:54:31Z |
| publishDate | 2014 |
| publisher | Zhengzhou University |
| record_format | dspace |
| spelling | utm.eprints-626942017-06-05T01:59:11Z http://eprints.utm.my/62694/ Structural stability of flat electroencephalography Tan, Lit Ken Ahmad, Tahir Q Science Flat Electroencephalography is a way of viewing electroencephalography signals on the first component of Fuzzy Topograhic Topological Mapping (FTTM), a model which was designed to solve neuromagnetic inverse problem. This novel method is well known for its ability to preserves the orientation and magnitude of EEG sensors and signals. However, this preservation renders Flat EEG to contain unwanted signals captured during recording from the surroundings. Consequently, its accuracy in depicting actual electrical activity inside the brain is affected. Present of artifacts would pose a serious problem if it is large. Thusly, this study will investigate the persistence of Flat EEG to surrounding "noises" from dynamic viewpoint by means of structural stability. Basically, it will be showed that Flat EEG in the presence of "noises" may still reflects the actual electrical activity inside the brain, if the contaminated Flat EEG falls within a class of dynamical systems. Zhengzhou University 2014 Article PeerReviewed Tan, Lit Ken and Ahmad, Tahir (2014) Structural stability of flat electroencephalography. Life Science Journal, 11 (8). pp. 165-170. ISSN 1097-8135 http://www.lifesciencesite.com/lsj/life1108/021_23928life110814_165_170.pdf |
| spellingShingle | Q Science Tan, Lit Ken Ahmad, Tahir Structural stability of flat electroencephalography |
| title | Structural stability of flat electroencephalography |
| title_full | Structural stability of flat electroencephalography |
| title_fullStr | Structural stability of flat electroencephalography |
| title_full_unstemmed | Structural stability of flat electroencephalography |
| title_short | Structural stability of flat electroencephalography |
| title_sort | structural stability of flat electroencephalography |
| topic | Q Science |
| work_keys_str_mv | AT tanlitken structuralstabilityofflatelectroencephalography AT ahmadtahir structuralstabilityofflatelectroencephalography |