Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Tadas Meškauskas"'
Publikováno v:
Mathematical Modelling and Analysis, Vol 28, Iss 3 (2023)
The difference eigenvalue problem approximating the one-dimensional differential equation with the variable weight coefficients in an integral conditions is considered. The cases without negative eigenvalue in the spectrum of difference eigenvalue pr
Externí odkaz:
https://doaj.org/article/9a1b3648a7804ab1876d3be8ec9d50b6
Autor:
Tomas Raila, Tadas Penkauskas, Filipas Ambrulevičius, Marija Jankunec, Tadas Meškauskas, Gintaras Valinčius
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Atomic force microscopy (AFM) image analysis of supported bilayers, such as tethered bilayer membranes (tBLMs) can reveal the nature of the membrane damage by pore-forming proteins and predict the electrochemical impedance spectroscopy (EIS)
Externí odkaz:
https://doaj.org/article/329dcf0c4f5e46d190eba3f653dccf8d
Publikováno v:
Nonlinear Analysis, Vol 25, Iss 4 (2020)
This work presents convolutional neural network (CNN) based methodology for electroencephalogram (EEG) classification by diagnosis: benign childhood epilepsy with centrotemporal spikes (rolandic epilepsy) (Group I) and structural focal epilepsy (Grou
Externí odkaz:
https://doaj.org/article/0ba2e6c856e54dfe89edbf528e6825dc
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 57, Iss A (2016)
The derivative parameters of electroencephalogram (EEG): baseline, upslope, downslope and width of EEG spikes are analysed in this work. Automatic methods of their measurement are presented. Validation of discussed parameters against their possible r
Externí odkaz:
https://doaj.org/article/bf3a3413247f4baf8adc7ec3a819ecad
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 56, Iss A (2015)
The algorithm of automatic EEG spike detection and its implementation is described in this article. The algorithm implemented is based on mathematical morphological filters which distinguishes background brain activity from EEG spikes. The implementa
Externí odkaz:
https://doaj.org/article/d4ff2341e4aa4653a9d69e0fd420e0da
Autor:
Tadas Meškauskas, Feliksas Ivanauskas
Publikováno v:
Nonlinear Analysis, Vol 2 (1998)
Externí odkaz:
https://doaj.org/article/93d064a63e3d46d2b7e6ae64fadea644
Autor:
Gintaras Valincius, Tadas Meškauskas, Tomas Raila, Marija Jankunec, Filipas Ambrulevičius, Tadas Penkauskas
Publikováno v:
Scientific Reports
Scientific reports, Berlin : Nature research, 2022, vol. 12, art. no. 1127, p. 1-11
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Scientific reports, Berlin : Nature research, 2022, vol. 12, art. no. 1127, p. 1-11
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Atomic force microscopy (AFM) image analysis of supported bilayers, such as tethered bilayer membranes (tBLMs) can reveal the nature of the membrane damage by pore-forming proteins and predict the electrochemical impedance spectroscopy (EIS) response
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::727ffb575967b3b3c814a298115646cc
https://pubmed.ncbi.nlm.nih.gov/35064137
https://pubmed.ncbi.nlm.nih.gov/35064137
Autor:
Tadas Penkauskas, Gintaras Dreižas, Tomas Raila, Marija Jankunec, Gintaras Valincius, Tadas Meškauskas
Publikováno v:
Electrochimica Acta. 299:863-874
Finite element analysis (FEA) reveals that random distribution of defects in tethered bilayers results in qualitatively similar electrochemical impedance spectroscopy (EIS) response as bilayers with regularly arrayed defects. Such similarity leads to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e15612be3295126df440c6870dfea5c
https://doi.org/10.1016/j.electacta.2018.12.148
https://doi.org/10.1016/j.electacta.2018.12.148
Publikováno v:
Biomedical Signal Processing and Control. 48:118-127
Rationale It is still not clear if there are EEG parameters that may be related to the epilepsy etiology in epilepsies presenting with rolandic spikes. Rolandic spikes are not pathognomonic for rolandic epilepsy and could be related to the area of di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::629a28513d8a8abf20fe27bd089f5dee
https://doi.org/10.1016/j.bspc.2018.10.006
https://doi.org/10.1016/j.bspc.2018.10.006
Publikováno v:
Nonlinear analysis: modelling and control, Vilnius : Vilniaus universiteto leidykla, 2020, vol. 25, no. 4, p. 692-704
Nonlinear Analysis, Vol 25, Iss 4 (2020)
Nonlinear Analysis, Vol 25, Iss 4 (2020)
This work presents convolutional neural network (CNN) based methodology for electroencephalogram (EEG) classification by diagnosis: benign childhood epilepsy with centrotemporal spikes (rolandic epilepsy) (Group I) and structural focal epilepsy (Grou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09a6cc55997eb66172dc2aae85c0d259
https://repository.vu.lt/VU:ELABAPDB64419898&prefLang=en_US
https://repository.vu.lt/VU:ELABAPDB64419898&prefLang=en_US
