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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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EL
| URI | http://purl.tuc.gr/dl/dias/5131E446-AABD-44D7-ACD4-F34172A1CCD8 | - |
| Identifier | http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.124.5482&rep=rep1&type=pdf#page=31 | - |
| Language | en | - |
| Extent | 1 page | en |
| Title | Using graph theoretical methods to evaluate EEG signals in schizophrenia | en |
| Creator | Zervakis Michail | en |
| Creator | Ζερβακης Μιχαηλ | el |
| Creator | Sakkalis, Vangelis | en |
| Creator | Ερημάκη Σοφία | el |
| Creator | Erimaki Sophia | en |
| Creator | Πάχου Έλλη | el |
| Creator | Pachou Ellie | en |
| Creator | Oikonomou Theophanis | en |
| Creator | Μιχελογιάννης Σήφης | el |
| Creator | Micheloyannis Sifis | en |
| Creator | Michelogiannis Sifis | en |
| Creator | Τσίρκα Βασιλική | el |
| Creator | Tsirka Vasiliki | en |
| Creator | Τόλης Γιάννης | el |
| Creator | Tolis Yannis | en |
| Content Summary | Higher brain functions are companied by synchronous neuronal interplay expressed by the different EEG bands. Analyzing these bands is possible to study the complexity of neuronal assemblies. Nonlinearity, nonstationarity and complexity characterize physiologic systems including CNS. The myriad of structural units and feedback loops of the brain operate over a wide range of spatial and temporal scales. This information is included in EEG signals. | en |
| Type of Item | Σύντομη Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Short Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-10-26 | - |
| Date of Publication | 2006 | - |
| Subject | Basic medical sciences | en |
| Subject | Basic sciences, Medical | en |
| Subject | Biomedical sciences | en |
| Subject | Health sciences | en |
| Subject | Preclinical sciences | en |
| Subject | Sciences, Medical | en |
| Subject | medical sciences | en |
| Subject | basic medical sciences | en |
| Subject | basic sciences medical | en |
| Subject | biomedical sciences | en |
| Subject | health sciences | en |
| Subject | preclinical sciences | en |
| Subject | sciences medical | en |
| Bibliographic Citation | E. Pachou, T. Oikonomou, V. Sakkalis, S. Erimaki, V. Tsirka, Y. Tolis, M. Zervakis and S. Micheloyannis, "Using graph theoretical methods to evaluate EEG signals in schizophrenia," presented at Biopattern Brain Workshop, Goteborg, Sweden, 2006. | en |
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