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of 39
pro vyhledávání: '"Badawy, Reham"'
Autor:
Evers, Luc JW, Raykov, Yordan P, Krijthe, Jesse H, Silva de Lima, Ana Lígia, Badawy, Reham, Claes, Kasper, Heskes, Tom M, Little, Max A, Meinders, Marjan J, Bloem, Bastiaan R
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 10, p e19068 (2020)
BackgroundWearable sensors have been used successfully to characterize bradykinetic gait in patients with Parkinson disease (PD), but most studies to date have been conducted in highly controlled laboratory environments. ObjectiveThis paper aims to
Externí odkaz:
https://doaj.org/article/9eba700bc4a14524ab4be18b95742137
Autor:
Claes, Kasper, Ticcinelli, Valentina, Badawy, Reham, Raykov, Yordan P., Evers, Luc J. W., Little, Max A.
Digital sensors are increasingly being used to monitor the change over time of physiological processes in biological health and disease, often using wearable devices. This generates very large amounts of digital sensor data, for which, a consensus on
Externí odkaz:
http://arxiv.org/abs/2211.11294
Autor:
Raykov, Yordan P., Evers, Luc J. W., Badawy, Reham, Bloem, Bastiaan, Heskes, Tom M., Meinders, Marjan, Claes, Kasper, Little, Max A.
Passive monitoring in daily life may provide invaluable insights about a person's health throughout the day. Wearable sensor devices are likely to play a key role in enabling such monitoring in a non-obtrusive fashion. However, sensor data collected
Externí odkaz:
http://arxiv.org/abs/2004.03047
Autor:
Little, Max A., Badawy, Reham
To draw scientifically meaningful conclusions and build reliable models of quantitative phenomena, cause and effect must be taken into consideration (either implicitly or explicitly). This is particularly challenging when the measurements are not fro
Externí odkaz:
http://arxiv.org/abs/1910.09648
Autor:
Raykov, Yordan P., Evers, Luc J. W., Badawy, Reham, Faber, Marjan J., Bloem, Bastiaan R., Claes, Kasper, Little, Max A.
Passive and non-obtrusive health monitoring using wearables can potentially bring new insights into the user's health status throughout the day and may support clinical diagnosis and treatment. However, identifying segments of free-living data that s
Externí odkaz:
http://arxiv.org/abs/1812.02585
A unified algorithm framework for quality control of sensor data for behavioural clinimetric testing
The use of smartphone and wearable sensing technology for objective, non-invasive and remote clinimetric testing of symptoms has considerable potential. However, the clinimetric accuracy achievable with such technology is highly reliant on separating
Externí odkaz:
http://arxiv.org/abs/1711.07557
Autor:
Stephenson, Diane1 (AUTHOR), Badawy, Reham2 (AUTHOR), Mathur, Soania3 (AUTHOR), Tome, Maria4 (AUTHOR), Rochester, Lynn5 (AUTHOR)
Publikováno v:
Journal of Parkinson's Disease. 2021 Supplement, Vol. 11, pS103-S109. 7p.
Autor:
Shehata, Sherine M.1, Badawy, Reham K.2, Aboulsoud, Yasmin I. E.2 yasminaboulsoud@hotmail.com
Publikováno v:
Bulletin of the National Research Centre. 12/12/2019, Vol. 43 Issue 1, p1-15. 15p.
Akademický článek
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Autor:
Badawy, Reham1 (AUTHOR) rehambadawy@hotmail.com, Raykov, Yordan P.1 (AUTHOR) yordan.raykov@gmail.com, Evers, Luc J. W.2,3 (AUTHOR) Luc.Evers@radboudumc.nl, Bloem, Bastiaan R.3 (AUTHOR) Bas.Bloem@radboudumc.nl, Faber, Marjan J.4 (AUTHOR) Marjan.Faber@radboudumc.nl, Zhan, Andong5 (AUTHOR) azhan2@jhu.edu, Claes, Kasper6 (AUTHOR) Kasper.Claes@ucb.com, Little, Max A.1,7 (AUTHOR) maxl@mit.edu
Publikováno v:
Sensors (14248220). Apr2018, Vol. 18 Issue 4, p1-22. 22p. 2 Charts, 7 Graphs.