ULTEEM—Ultra-long-term EEG Monitoring
| dc.contributor.author | Yilmaz, Gürkan | |
| dc.contributor.author | Crettaz, Mathilde | |
| dc.contributor.author | Zhou, Lingchuan | |
| dc.contributor.author | Lahera Perez, Juan Alberto | |
| dc.contributor.author | Frosio, Monique | |
| dc.contributor.author | de Sousa, Antonio Moreira | |
| dc.contributor.author | Chételat, Olivier | |
| dc.contributor.author | Schindler, Kaspar | |
| dc.date.accessioned | 2025-11-11T15:37:40Z | |
| dc.date.available | 2025-11-11T15:37:40Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | ULTEEM project showcases a sensor solution which transforms ordinary eyeglasses into smart glasses, by simply clipping two stand-alone devices onto the frame, to non-invasively record the brain activity generated by the temporal lobes. Temporal electroencephalogram (EEG) provides valuable information for long-term generalized epilepsy monitoring while electrooculogram (EOG) signals are commonly used in vigilance monitoring. | |
| dc.identifier.citation | CSEM Scientific and Technical Report 2021, p. 41 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12839/1793 | |
| dc.title | ULTEEM—Ultra-long-term EEG Monitoring | |
| dc.type | CSEM Report | |
| dc.type.csemdivisions | BU-D | |
| dc.type.csemresearchareas | Digital Health |
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