Xia, Yili, Li, Ling, Cao, Jianting, Golz, Martin, Mandic, Danilo P. (2011) A collaborative filtering approach for quasi-brain-death EEG analysis. In: Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on. . pp. 182-196. IEEE ISBN 978-1-4577-0538-0. E-ISBN 978-1-4577-0537-3. (doi:10.1109/ICASSP.2011.5946486) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:30759)
| The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. | |
| Official URL: http://dx.doi.org/10.1109/ICASSP.2011.5946486 |
Abstract
Evaluating the significance differences between the group of comatose patients and the group of brain death is important in the detection of brain death. This paper presents a novel method for the discrimination between discrete states of brain consciousness. Based on a collaborative adaptive filtering ar- chitecture using a convex combination of two heterogeneous adaptive filters, the evolution of the mixing parameter can be used as an indicator of the fundamental signal nature of different EEG recordings. Simulations illustrate the suitabil- ity of this approach to differentiate between the coma and quasi-brain-death states.
| Item Type: | Conference or workshop item (Paper) |
|---|---|
| DOI/Identification number: | 10.1109/ICASSP.2011.5946486 |
| Uncontrolled keywords: | determinacy analysis, Craig interpolants |
| Subjects: |
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, R Medicine |
| Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
| Funders: | [UNSPECIFIED] IEEE Society |
| Depositing User: | Caroline Li |
| Date Deposited: | 21 Sep 2012 09:49 UTC |
| Last Modified: | 16 Nov 2021 10:08 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/30759 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Li, Ling.
| Creator's ORCID: |
 https://orcid.org/0000-0002-4026-0216
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|---|---|
| CReDIT Contributor Roles: |
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