Nonlinear prediction of brain electrical activity in epilepsy with a Volterra RLS algorithm
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Approximately 0.3% of the worlds population is suffering from a focal epilepsy. In this paper the bioelectrical activity of the human brain in epilepsy will be analyzed with Volterra-Systems (VS) [1], whereas the kernels of different orders will be determined by using a RLS method of reduced computation complexity [2, 3]. The prediction gain for data segments obtained in presurgial evaluations will be given and criteria for a detection of distinct changes of the prediction coefficients will be proposed.
Details
| Original language | English |
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| Title of host publication | 2002 IEEE International Symposium on Circuits and Systems |
| Place of Publication | Phoenix-Scottsdale |
| Publisher | IEEE Xplore |
| Pages | 595-598 |
| ISBN (print) | 0-7803-7448-7 |
| Publication status | Published - 2002 |
| Peer-reviewed | Yes |
| Externally published | Yes |
Publication series
| Series | IEEE International Symposium on Circuits and Systems (ISCAS) |
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| ISSN | 0271-4302 |
Conference
| Title | IEEE International Symposium on Circuits and Systems 2002 |
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| Abbreviated title | ISCAS 2002 |
| Duration | 26 - 29 May 2002 |
| City | Phoenix-Scottsdale |
| Country | United States of America |
External IDs
| ORCID | /0000-0001-7436-0103/work/142240388 |
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