Abstract
In this paper a novel technique for solving the bio-electromagnetic inverse problem is proposed. This method provides information about the location and extent of underlying neuronal activity. This is essential for the presurgical planning for partial epilepsy patients who are resistant to anti-epileptic drugs. The proposed algorithm takes advantage of the fact that neuronal activity transparent to EEG, arises from a spatially extended brain region. This spatial coherence is modeled within the framework of sparse signal processing techniques and makes better use of the limited number of EEG recordings. An iterative data-driven weighting is also introduced to better the extent estimation as well as eliminating the need to threshold estimated solutions.
Original language | English (US) |
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Title of host publication | 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 634-637 |
Number of pages | 4 |
ISBN (Electronic) | 9781424492718 |
DOIs | |
State | Published - Nov 4 2015 |
Event | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy Duration: Aug 25 2015 → Aug 29 2015 |
Publication series
Name | Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS |
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Volume | 2015-November |
ISSN (Print) | 1557-170X |
Other
Other | 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 |
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Country/Territory | Italy |
City | Milan |
Period | 8/25/15 → 8/29/15 |
Bibliographical note
Publisher Copyright:© 2015 IEEE.