Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Vojtech Travnicek"'
Autor:
Xiaoyan Wei, Tamir Avigdor, Alyssa Ho, Erica Minato, Alfonso Garcia-Asensi, Jessica Royer, Yingqi Laetitia Wang, Vojtech Travnicek, Katharina Schiller, Boris C. Bernhardt, Birgit Frauscher
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-10 (2024)
Abstract Well-documented sleep datasets from healthy adults are important for sleep pattern analysis and comparison with a wide range of neuropsychiatric disorders. Currently, available sleep datasets from healthy adults are acquired using low-densit
Externí odkaz:
https://doaj.org/article/97704c1bdc1c4e66beb316043b97525d
Autor:
Zuzana Vasickova, Petr Klimes, Jan Cimbalnik, Vojtech Travnicek, Martin Pail, Josef Halamek, Pavel Jurak, Milan Brazdil
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-8 (2023)
Abstract Very high-frequency oscillations (VHFOs, > 500 Hz) are more specific in localizing the epileptogenic zone (EZ) than high-frequency oscillations (HFOs,
Externí odkaz:
https://doaj.org/article/62f38c924b0746d39570bc3035ed0bc8
Autor:
Jan Cimbalnik, Martin Pail, Petr Klimes, Vojtech Travnicek, Robert Roman, Adam Vajcner, Milan Brazdil
Publikováno v:
Frontiers in Neurology, Vol 11 (2020)
The electrophysiological EEG features such as high frequency oscillations, spikes and functional connectivity are often used for delineation of epileptogenic tissue and study of the normal function of the brain. The epileptogenic activity is also kno
Externí odkaz:
https://doaj.org/article/2d45d4bb12af4be69168881353020468
Autor:
Vojtech Travnicek, Petr Klimes, Jan Cimbalnik, Josef Halamek, Pavel Jurak, Benjamin Brinkmann, Irena Balzekas, Chifaou Abdallah, François Dubeau, Birgit Frauscher, Greg Worrell, Milan Brazdil
Publikováno v:
Epilepsia. 64:962-972
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::499c26966b7b3ae8b233b366b57afa01
https://doi.org/10.1111/epi.17539
https://doi.org/10.1111/epi.17539
Publikováno v:
Epilepsia.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52407ec454e43f68dcaf65ee73a2b220
https://doi.org/10.1111/epi.17597
https://doi.org/10.1111/epi.17597
Autor:
Zuzana Vasickova, Petr Klimes, Jan Cimbalnik, Vojtech Travnicek, Martin Pail, Josef Halamek, Pavel Jurak, Milan Brazdil
Very high-frequency oscillations (VHFOs, > 500 Hz) are more specific in localizing the epileptogenic zone (EZ) than high-frequency oscillations (HFOs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5ff5ef1d69d20d4cd72603d72e32649
https://doi.org/10.21203/rs.3.rs-2152217/v1
https://doi.org/10.21203/rs.3.rs-2152217/v1
Autor:
Benjamin H. Brinkmann, Petr Klimes, Gregory A. Worrell, Filip Mivalt, Milan Brázdil, Filip Plesinger, Vaclav Kremen, Pavel Jurák, Martin Pail, Jan Cimbalnik, Petr Nejedly, Josef Halamek, Vladimir Sladky, Ivo Viscor, Vojtech Travnicek
Publikováno v:
Scientific Data, Vol 7, Iss 1, Pp 1-7 (2020)
Scientific Data
Scientific Data
EEG signal processing is a fundamental method for neurophysiology research and clinical neurology practice. Historically the classification of EEG into physiological, pathological, or artifacts has been performed by expert visual review of the record
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fa53fd47469d0aec776c26935c16fdb
https://doi.org/10.1038/s41597-020-0532-5
https://doi.org/10.1038/s41597-020-0532-5
Autor:
Karin Revajová, Vojtěch Trávníček, Pavel Jurák, Zuzana Vašíčková, Josef Halámek, Petr Klimeš, Jan Cimbálník, Milan Brázdil, Martin Pail
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Interictal very high-frequency oscillations (VHFOs, 500–2000 Hz) in a resting awake state seem to be, according to a precedent study of our team, a more specific predictor of a good outcome of the epilepsy surgery compared to traditional i
Externí odkaz:
https://doaj.org/article/977016cf9f9f4185ade82bda62489af7
Publikováno v:
Physical Review Research, Vol 6, Iss 3, p 033056 (2024)
In this paper, we introduce a supervised learning technique that harnesses artificial neural networks, along with the outcomes of collective entanglement measurements, to estimate the negativity of quantum states in two-qubit and qubit-qutrit systems
Externí odkaz:
https://doaj.org/article/98f543585c8345ff9a7bdb1c7f088a76