Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Eberlein Matthias"'
Autor:
Eberlein Matthias, Müller Jens, Yang Hongliu, Walz Simon, Schreiber Janina, Tetzlaff Ronald, Creutz Susanne, Uckermann Ortrud, Leonhardt Georg
Publikováno v:
Current Directions in Biomedical Engineering, Vol 5, Iss 1, Pp 109-112 (2019)
Epilepsy affects about 50 million people worldwide of which one third is refractory to medication. An automated and reliable system that warns of impending seizures would greatly improve patient’s quality of life by overcoming the uncertainty and h
Externí odkaz:
https://doaj.org/article/2f6caa39caa94c4192873bddfacd22f6
Publikováno v:
EPJ Web of Conferences, Vol 255, p 12007 (2021)
As part of a research project, a new hybrid forming process for ultrathin three-dimensional glass elements was developed. In a continuous process chain, the three-part procedure enables large-area gravity-assisted bending of thin glass, partial deep-
Externí odkaz:
https://doaj.org/article/bd15e95fd4da45e094539577491f29b1
Autor:
Yang, Hongliu, Müller, Jens, Eberlein, Matthias, Kalousios, Sotirios, Leonhardt, Georg, Duun-Henriksen, Jonas, Kjaer, Troels, Tetzlaff, Ronald
Publikováno v:
In Clinical Neurophysiology November 2024 167:211-220
Publikováno v:
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Repeated epileptic seizures impair around 65 million people worldwide and a successful prediction of seizures could significantly help patients suffering from refractory epilepsy. For two dogs with yearlong intracranial electroencephalography (iEEG)
Externí odkaz:
http://arxiv.org/abs/2201.04137
Autor:
Müller, Jens, Yang, Hongliu, Eberlein, Matthias, Leonhardt, Georg, Uckermann, Ortrud, Kuhlmann, Levin, Tetzlaff, Ronald
Seizure forecasting using machine learning is possible, but the performance is far from ideal, as indicated by many false predictions and low specificity. Here, we examine false and missing alarms of two algorithms on long-term datasets to show that
Externí odkaz:
http://arxiv.org/abs/2110.13550
Akademický článek
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Autor:
Eberlein, Matthias, Hildebrand, Raphael, Tetzlaff, Ronald, Hoffmann, Nico, Kuhlmann, Levin, Brinkmann, Benjamin, Müller, Jens
Publikováno v:
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Epilepsy is the most common neurological disorder and an accurate forecast of seizures would help to overcome the patient's uncertainty and helplessness. In this contribution, we present and discuss a novel methodology for the classification of intra
Externí odkaz:
http://arxiv.org/abs/1811.00915
Autor:
Müller, Jens, Yang, Hongliu, Eberlein, Matthias, Leonhardt, Georg, Uckermann, Ortrud, Kuhlmann, Levin, Tetzlaff, Ronald
Publikováno v:
In Clinical Neurophysiology January 2022 133:157-164
Autor:
Wolff, Nicole, Eberlein, Matthias, Stroth, Sanna, Poustka, Luise, Roepke, Stefan, Kamp-Becker, Inge, Roessner, Veit
Objective: Although autism spectrum disorder (ASD) is a relatively common, well-known but heterogeneous neuropsychiatric disorder, specific knowledge about characteristics of this heterogeneity is scarce. There is consensus that IQ contributes to thi
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A89721
https://tud.qucosa.de/api/qucosa%3A89721/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A89721/attachment/ATT-0/
Akademický článek
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