Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Ivan Kotiuchyi"'
Publikováno v:
Brain Sciences, Vol 10, Iss 9, p 657 (2020)
This study introduces a framework for the information-theoretic analysis of brain functional connectivity performed at the level of electroencephalogram (EEG) sources. The framework combines the use of common spatial patterns to select the EEG compon
Externí odkaz:
https://doaj.org/article/614c732af7ea442d806130809ca550ba
In this work we apply the network physiology paradigm to retrieve information from central and autonomic nervous systems before focal epileptic seizure, represented respectively by electroencephalogram (EEG) signals and R-R intervals (RRI), and inves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::958ed008616c51ae3e67b0ba0d831d77
http://hdl.handle.net/10447/524500
http://hdl.handle.net/10447/524500
Autor:
Miki Kaneko, Anton Popov, Ivan Seleznov, Ken Kiyono, Akio Nakata, Volodymyr Kharytonov, Ivan Kotiuchyi
Publikováno v:
2020 Signal Processing Workshop (SPW).
To evaluate the interaction between epilepsy-related brain activities and heart rate dynamics, we analyze electroencephalogram (EEG) and heart rate variability (HRV) using detrended moving-average cross-correlation analysis (DMCA) for pre- and postic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a48bde29f509f3dc3f49ba04273a866e
https://doi.org/10.23919/spw49079.2020.9259132
https://doi.org/10.23919/spw49079.2020.9259132
Publikováno v:
Brain Sciences, Vol 10, Iss 657, p 657 (2020)
Brain Sciences
Volume 10
Issue 9
Brain Sciences
Volume 10
Issue 9
This study introduces a framework for the information-theoretic analysis of brain functional connectivity performed at the level of electroencephalogram (EEG) sources. The framework combines the use of common spatial patterns to select the EEG compon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c02c5c2c9edf95a8a2d5fd84372e8e7
https://www.mdpi.com/2076-3425/10/9/657
https://www.mdpi.com/2076-3425/10/9/657
Autor:
Riccardo Pernice, Ivan Kotiuchyi, Daniele Marinazzo, Volodymyr Kharytonov, Anton Popov, Luca Faes, Alessandro Busacca
Publikováno v:
2020 11th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO).
In this work, partial information decomposition (PID) was applied to the time series of heart rate and EEG amplitude variability to investigate the dynamical interactions in brain-heart coupling before and after epileptic seizures. From ECG and EEG s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::609c5d628e67d3a175789935417d8fe3
https://doi.org/10.1109/esgco49734.2020.9158196
https://doi.org/10.1109/esgco49734.2020.9158196
Publikováno v:
Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia. :33-39
Introduction. Brain electrical activity signals (or EEG) by their very nature are non-stationary time series. This basically allows applying a set of mathematical-statistical analysis methods to them. One of the most common methods for signal analyzi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88ff3d55000efa8e86bb48bdb7129e39
https://doi.org/10.20535/radap.2018.73.33-39
https://doi.org/10.20535/radap.2018.73.33-39
Scalp electroencephalographic (EEG) signals are influenced by several factors, including volume conduction and low spatial resolution, which can jeopardize the validity of brain connectivity analysis performed on the raw recordings. One possible solu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::757fe4506db6d24e7bf7077486e1ab0f
http://hdl.handle.net/10447/370208
http://hdl.handle.net/10447/370208
Autor:
Anton Popov, Riccardo Pernice, Ivan Kotiuchyi, Luca Faes, Alessandro Busacca, Volodymyr Kharytonov
Network physiology is a recent approach describing the human body as an integrated network composed of several organ systems which continuously interact to produce healthy and diseased states. In this work, we apply the network physiology paradigm to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3658::729e752540ef15e250ff4816b9027bbc
http://hdl.handle.net/10447/370210
http://hdl.handle.net/10447/370210
In this work, we analyze the information content of the multiple time scale components of heart rate variability (HRV) in children with focal epilepsy. HRV components are extracted from 30 pediatric patients, monitored 10 min and 10 s before and afte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4923fdc8703a0b90a5a77c394315c026
http://hdl.handle.net/10447/430396
http://hdl.handle.net/10447/430396
Autor:
Anton Popov, Volodymyr Kharytonov, Ivan Kotiuchyi, Luca Faes, Ivan Seleznov, Riccardo Pernice
In this research, the study of functional connectivity between sources of electroencephalogram (EEG) activity assessed for different classes (well before seizure, preictal and post-ictal) was performed. EEG recordings were acquired from 12 subjects w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ee821652596b7fc815d03526d35e0c6
http://hdl.handle.net/10447/384985
http://hdl.handle.net/10447/384985