Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Serajeddin Ebrahimian"'
Autor:
Saara Sillanmäki, Serajeddin Ebrahimian, Salla Hietakoste, David Hernando, Raquel Bailon, Timo Leppänen, Samu Kainulainen
Publikováno v:
ERJ Open Research, Vol 10, Iss 5 (2024)
Aims Obstructive sleep apnoea (OSA) imposes significant stress on the cardiovascular system and the heart. While long-term cardiac effects are understood, the immediate impact of hypoxaemia on the heart's electrophysiology lacks understanding. Our st
Externí odkaz:
https://doaj.org/article/1da7eb1fdce0459e9755dfc3e9d2b772
Publikováno v:
Frontiers in Biomedical Technologies, Vol 9, Iss 4 (2022)
Purpose: Drowsy driving accounts for many accidents and has attracted substantial research attention in recent years. Electroencephalography (EEG) signals are shown to be a reliable measure for the early detection of drowsiness. Unfortunately, there
Externí odkaz:
https://doaj.org/article/2d76c2747f7a4b24914cc169970d3a4f
Autor:
Serajeddin Ebrahimian, Saara Sillanmäki, Salla Hietakoste, Brett Duce, Antti Kulkas, Juha Töyräs, Timo Leppänen, Jukka A Lipponen, Samu Kainulainen
Publikováno v:
PLoS ONE, Vol 17, Iss 12, p e0278520 (2022)
Obstructive sleep apnea (OSA) is related to the progression of cardiovascular diseases (CVD); it is an independent risk factor for stroke and is also prevalent post-stroke. Furthermore, heart rate corrected QT (QTc) is an important predictor of the r
Externí odkaz:
https://doaj.org/article/03af50a65c9b4630869abb719dbb0380
Autor:
Masoumeh Tashakori, Ali Nahvi, Azadeh Shahiidian, Serajeddin Ebrahimian Hadi Kiashari, Hamidreza Bakhoda
Publikováno v:
Journal of Sleep Sciences, Vol 3, Iss 3-4 (2019)
Background and Objective: Driver drowsiness is a major cause of fatal driving accidents worldwide, which can be prevented by an early detection. Driver drowsiness results in reduction of blood flow and change in facial thermal patterns. In this paper
Externí odkaz:
https://doaj.org/article/d597fcdd32ef47a6bdb541679a66f09c
Publikováno v:
Journal of Sleep Sciences, Vol 3, Iss 1-2 (2019)
Background and Objective: Driver drowsiness is a cause of many traffic accidents all around the world. Driver respiration dynamics undergoes significant changes from wakefulness to sleep. The intrusive nature of current respiration monitoring methods
Externí odkaz:
https://doaj.org/article/b63bbad0a3c943759fabd0ce764f6e50
Publikováno v:
Robotica. 40:1431-1449
This research deals with the autonomous landing maneuver of a quadrotor unmanned aerial vehicle (UAV) on an unmanned ground vehicle (UGV). It is assumed that the UGV moves independently, and there is no communication and collaboration between the two
Evaluation of driver drowsiness using respiration analysis by thermal imaging on a driving simulator
Autor:
Amirhossein Homayounfard, Masoumeh Tashakori, Serajeddin Ebrahimian Hadi Kiashari, Hamidreza Bakhoda, Ali Nahvi
Publikováno v:
Multimedia Tools and Applications. 79:17793-17815
In this paper, a new non-intrusive driver drowsiness detection method is introduced based on respiration analysis using facial thermal imaging. Drowsiness is the cause of many driving accidents all over the world. Drivers’ respiration system underg
Autor:
Serajeddin Ebrahimian, Ali Nahvi, Masoumeh Tashakori, Hamed Salmanzadeh, Omid Mohseni, Timo Leppänen
Publikováno v:
Int J Environ Res Public Health
International Journal of Environmental Research and Public Health; Volume 19; Issue 17; Pages: 10736
International Journal of Environmental Research and Public Health; Volume 19; Issue 17; Pages: 10736
The high number of fatal crashes caused by driver drowsiness highlights the need for developing reliable drowsiness detection methods. An ideal driver drowsiness detection system should estimate multiple levels of drowsiness accurately without interv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fab5c9251ee049ec0af49a2073eafff7
http://tuprints.ulb.tu-darmstadt.de/22328/
http://tuprints.ulb.tu-darmstadt.de/22328/
Publikováno v:
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine. 236(1)
Driver drowsiness causes fatal driving accidents. Thermal imaging is a suitable drowsiness detection method as it is non-invasive and robust against changes in the ambient light. In this paper, driver drowsiness is detected by measuring the forehead
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