The decomposition of electroencephalography signals during epileptic seizure
This paper describes how elementary electroencephalography (EEG) signals can be decomposed by using Jordan-Chevalley decomposition theorem. Recorded EEG signals on a patient during a seizure are transformed into a set of matrices. Each of these matrices is decomposed into its elementary components u...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/91728/ http://www.dx.doi.org/10.1063/1.5136478 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Teknologi Malaysia |
| Summary: | This paper describes how elementary electroencephalography (EEG) signals can be decomposed by using Jordan-Chevalley decomposition theorem. Recorded EEG signals on a patient during a seizure are transformed into a set of matrices. Each of these matrices is decomposed into its elementary components using Krohn-Rhodes decomposition theorem. Finally, these components are decomposed further into their respective semisimple and nilpotent parts. These parts are the extended building blocks of the elementary EEG signals. |
|---|