Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Seul-Ki Yeom"'
Autor:
Seul-Ki Yeom, Dong-Ok Won, Seong In Chi, Kwang-Suk Seo, Hyun Jeong Kim, Klaus-Robert Müller, Seong-Whan Lee
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0187743 (2017)
On sedation motivated by the clinical needs for safety and reliability, recent studies have attempted to identify brain-specific signatures for tracking patient transition into and out of consciousness, but the differences in neurophysiological effec
Externí odkaz:
https://doaj.org/article/c949d3285c4145488250f2ee60fd3a4c
Publikováno v:
PLoS ONE, Vol 9, Iss 11, p e111157 (2014)
Event-related potential (ERP)-based P300 spellers are commonly used in the field of brain-computer interfaces as an alternative channel of communication for people with severe neuro-muscular diseases. This study introduces a novel P300 based brain-co
Externí odkaz:
https://doaj.org/article/15d9f4e14ebd4ea8ab8df8b36a51c4bb
Autor:
Seul-Ki Yeom, Jeong-Eun Yang
Publikováno v:
Journal of the Korea Academia-Industrial cooperation Society. 22:228-235
Publikováno v:
Journal of the Korea Academia-Industrial cooperation Society. 22:761-768
Autor:
Seul-Ki Yeom, Ji-Young Jang
Publikováno v:
Journal of the Korea Academia-Industrial cooperation Society. 22:164-171
Autor:
Alexander Binder, Wojciech Samek, Sebastian Lapuschkin, Seul-Ki Yeom, Simon Wiedemann, Klaus-Robert Müller, Philipp Seegerer
The success of convolutional neural networks (CNNs) in various applications is accompanied by a significant increase in computation and parameter storage costs. Recent efforts to reduce these overheads involve pruning and compressing the weights of v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f277197e39e73751accfd4b6494ecdd2
https://publica.fraunhofer.de/handle/publica/268196
https://publica.fraunhofer.de/handle/publica/268196
Autor:
Jakko O. Nieminen, Seul-Ki Yeom, Minji Lee, Seong-Whan Lee, Benjamin Baird, Giulio Tononi, Olivia Gosseries
Publikováno v:
2018 6th International Conference on Brain-Computer Interface (BCI).
Electroencephalogram (EEG) measurement could help to distinguish the level of consciousness in an individual without requiring a behavioral response, which could be useful as a diagnostic aid in patients with disorders of consciousness. In this study
Autor:
Seul-Ki Yeom, Kwang-Suk Seo, Seong-Whan Lee, Minji Lee, Hyun Jeong Kim, Robert D. Sanders, Giulio Tononi, Dong-Ok Won
Publikováno v:
SCIENTIFIC REPORTS(7)
Scientific Reports
Scientific Reports, Vol 7, Iss 1, Pp 1-13 (2017)
Scientific Reports
Scientific Reports, Vol 7, Iss 1, Pp 1-13 (2017)
Reliable electroencephalography (EEG) signatures of transitions between consciousness and unconsciousness under anaesthesia have not yet been identified. Herein we examined network changes using graph theoretical analysis of high-density EEG during p
Autor:
Kwang-Suk Seo, Dong-Ok Won, Klaus Robert Müller, Seong-Whan Lee, Hyun Jeong Kim, Seul-Ki Yeom, Seong In Chi
Publikováno v:
PLoS ONE
PLoS ONE, Vol 12, Iss 11, p e0187743 (2017)
PLoS ONE, Vol 12, Iss 11, p e0187743 (2017)
On sedation motivated by the clinical needs for safety and reliability, recent studies have attempted to identify brain-specific signatures for tracking patient transition into and out of consciousness, but the differences in neurophysiological effec
Publikováno v:
ACPR
The objective of sedation is to maintain patient safety, and reduce the anxiety or pain during surgical procedure. In this point of view, method for monitoring the depth of anesthesia (DOA) should be reliable. Previous electroencephalogram (EEG) base