EEG processing with TESPAR for depth of anesthesia detection
Poster presentation: Introduction Adequate anesthesia is crucial to the success of surgical interventions and subsequent recovery. Neuroscientists, surgeons, and engineers have sought to understand the impact of anesthetics on the information processing in the brain and to properly assess the level of anesthesia in an non-invasive manner. Studies have indicated a more reliable depth of anesthesia (DOA) detection if multiple parameters are employed. Indeed, commercial DOA monitors (BIS, Narcotrend, M-Entropy and A-line ARX) use more than one feature extraction method. Here, we propose TESPAR (Time Encoded Signal Processing And Recognition) a time domain signal processing technique novel to EEG DOA assessment that could enhance existing monitoring devices. ...
| Author: | Vasile V. Moca, Bertram Scheller, Raul C. Mureşan, Michael Daunderer, Gordon Pipa |
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| URN: | urn:nbn:de:hebis:30-70972 |
| Document Type: | Article |
| Language: | English |
| Date of Publication (online): | 20.09.2009 |
| Year of first Publication: | 2009 |
| Publishing Institution: | Univ.-Bibliothek Frankfurt am Main |
| Source: | BMC Neuroscience 2009, 10(Suppl 1):P68 ; doi:10.1186/1471-2202-10-S1-P68 ; from Eighteenth Annual Computational Neuroscience Meeting: CNS*2009 Berlin, Germany. 18–23 July 2009 ; http://www.biomedcentral.com/1471-2202/10/S1/P68 |
| HeBIS PPN: | 219390592 |
| Institutes: | Medizin |
| Frankfurt Institute for Advanced Studies | |
| Dewey Decimal Classification: | 570 Biowissenschaften; Biologie |
| Sammlungen: | Universitätspublikationen |
| Sondersammelgebiets-Volltexte Biologie | |
| Note: | © 2009 Moca et al; licensee BioMed Central Ltd. |
| Licence (German): |  Veröffentlichungsvertrag für Publikationen ohne Print on Demand |
