Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Gleb V. Tcheslavski"'
Autor:
Gleb V. Tcheslavski, Maryam Vasefi
Publikováno v:
Sensors, Vol 22, Iss 21, p 8484 (2022)
(1) The article presents a new technique to interpret biomedical data (EEG) to assess cortical responses to continuous color/hue variations. We propose an alternative approach to analyze EEG activity evoked by visual stimulation. This approach may au
Externí odkaz:
https://doaj.org/article/0393cd105e1f49debe5ded8243dfdf25
Autor:
Gleb V. Tcheslavski
Publikováno v:
International Journal Bioautomation, Vol 23, Iss 4, Pp 391-402 (2019)
The study utilized spectral power estimates evaluated from the Electroencephalogram (EEG) of alcoholics and control participants to attempt an automatic detection of individuals suffering alcohol dependence. Power estimates were obtained for non-over
Externí odkaz:
https://doaj.org/article/e64de42b43aa4684b0cf10dd0b2f6bf7
Publikováno v:
International Journal Bioautomation, Vol 19, Iss 1, Pp 79-94 (2015)
Electro-dermal Response (EDR) is one of the important bioelectric signals used in various applications and research studies in the multitude of disciplines, such as Psychophysiology and other areas of Neuroscience. In present paper, a low cost EDR sy
Externí odkaz:
https://doaj.org/article/c855c5b0d3374c3eb73ea20b96446bd7
Publikováno v:
International Journal Bioautomation, Vol 16, Iss 2, Pp 135-142 (2012)
Often, while analyzing naturally generated signals (such as speech, seismogram, electroencephalogram, etc.), questions of stationarity and Gaussianity (normality) arise. This paper presents a brief literature overview focused on different methods pro
Externí odkaz:
https://doaj.org/article/1efe7dd3753b45a49adc872c5fca67a5
Autor:
Vasefi, Gleb V. Tcheslavski, Maryam
Publikováno v:
Sensors; Volume 22; Issue 21; Pages: 8484
(1) The article presents a new technique to interpret biomedical data (EEG) to assess cortical responses to continuous color/hue variations. We propose an alternative approach to analyze EEG activity evoked by visual stimulation. This approach may au
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::5a707905adc09b22e5b22eef850ef5d4
Autor:
Gleb V. Tcheslavski, Sharmin Sultana
Publikováno v:
NeuroRegulation. 6:170-180
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3e5c35f4cdd9712d5dfe72ba1330c44
https://doi.org/10.15540/nr.6.4.170
https://doi.org/10.15540/nr.6.4.170
Publikováno v:
Biomedical Signal Processing and Control. 43:130-137
Color is a powerful descriptor that considerably expands our ability to characterize and distinguish objects and facilitates interactions with dynamic environment. Although our understanding of neuronal mechanisms involved in color processing has sig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e63e0394c27432d0f81abcf5adb9cf78
https://doi.org/10.1016/j.bspc.2018.03.001
https://doi.org/10.1016/j.bspc.2018.03.001
Publikováno v:
NER
The extent, to which people listen to and perceive the speech content at different noise levels varies from individual to individual. In past research projects, the speech intelligibility was determined by rating assessment, which suffered from varia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8d77cda770458b83e6fdde866c89d47
https://doi.org/10.1109/ner.2019.8717078
https://doi.org/10.1109/ner.2019.8717078
Autor:
Gleb V. Tcheslavski
Publikováno v:
International Journal of Psychophysiology. 70:88-93
Effects of chronic tobacco smoking on the spectral contents of spontaneous electroencephalogram (EEG) were examined in connection with schizotypal personality. EEG recorded from 19 smokers and 20 non-smokers college students were studied by means of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae08ca321a93eb0d61c8699706631777
https://doi.org/10.1016/j.ijpsycho.2008.06.004
https://doi.org/10.1016/j.ijpsycho.2008.06.004
Autor:
Gleb V. Tcheslavski, Kazi Aminul Islam
Publikováno v:
2015 2nd International Conference on Electrical Information and Communication Technologies (EICT).
Brain electrical activity commonly represented by the Electroencephalogram (EEG), due to its miniscule amplitude (on the order of a hundred microvolts), is often contaminated with various artifacts. Independent Component Analysis (ICA) may be a usefu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c72d5eb2a3086830da2fb9e7471e9603
https://doi.org/10.1109/eict.2015.7391935
https://doi.org/10.1109/eict.2015.7391935