Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Mitsis, Georgios D."'
Publikováno v:
IEEE Transactions on Biomedical Engineering; Oct2022, Vol. 69 Issue 10, p3183-3192, 10p
Autor:
Anastasiadou, M., Hadjipapas, A., Christodoulakis, M., Papathanasiou, E. S., Papacostas, S. S., Mitsis, Georgios D.
Publikováno v:
EMBC
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
We investigated the correlation of epileptic seizure onset times with long term EEG functional brain network properties. To do so, we constructed binary functional brain networks from long-term, multichannel electroencephalographic data recorded from
Autor:
Iakovidou, N. D., Christodoulakis, M., Papathanasiou, E. S., Papacostas, S. S., Mitsis, Georgios D.
Publikováno v:
BIBE
2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015
2015 IEEE 15th International Conference on Bioinformatics and Bioengineering, BIBE 2015
It is fairly established that dynamic recordings of functional activity maps can naturally and efficiently be represented by functional connectivity networks. In this article we study weighted and fully-connected brain networks, created from electroe
Publikováno v:
EMBC
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
It is well known that the blood-oxygen level dependent (BOLD) signal measured by functional magnetic resonance imaging (fMRI) is influenced - in addition to neuronal activity - by fluctuations in physiological signals, including arterial CO2. For ins
Autor:
Anastasiadou, M., Christodoulakis, M., Papathanasiou, E. S., Papacostas, S. S., Mitsis, Georgios D.
Publikováno v:
EMBC
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Automatic detection and removal of muscle artifacts plays an important role in long-term scalp electroencephalography (EEG) monitoring, and muscle artifact detection algorithms have been intensively investigated. This paper proposes an algorithm for
Publikováno v:
IEEE Transactions on Biomedical Engineering; Nov2019, Vol. 66 Issue 11, p3257-3266, 10p
Autor:
Anastasiadou, M., Hadjipapas, A., Christodoulakis, M., Papathanasiou, E. S., Papacostas, S. S., Mitsis, Georgios D.
Publikováno v:
BIBE
Proceedings-IEEE 14th International Conference on Bioinformatics and Bioengineering, BIBE 2014
Proceedings-IEEE 14th International Conference on Bioinformatics and Bioengineering, BIBE 2014
The Electroencephalogram (EEG) is often contaminated by muscle artifacts. EEG is a widely used recording technique for the study of many brain related diseases such as epilepsy. The detection and removal of muscle artifacts from the EEG signal poses
Publikováno v:
EMBC
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
Conf Proc IEEE Eng Med Biol Soc
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
Conf Proc IEEE Eng Med Biol Soc
We extracted adaptive univariate and multivariate dynamic models of cerebral hemodynamics during resting and hypercapnic conditions using a Recursive Least Squares estimation scheme with multiple adaptive forgetting factors. The time dependent relati
Publikováno v:
CDC
Proceedings of the IEEE Conference on Decision and Control
Proceedings of the IEEE Conference on Decision and Control
This study deals with the planning of anti-cancer therapy in mice with drug-resistance using mathematical modeling and optimal control. By making use of experimental data in order to develop our mathematical models, we herein propose a promising meth
Publikováno v:
BIBE
IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012
IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012
Extracellular recordings in the area of the subthalamic nucleus (STN) of Parkinson's disease patients undergoing deep brain stimulation comprise fast events, Action Potentials and slower events, known as Local Field Potentials (LFP). The LFP is belie