Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Gary Garcia-Molina"'
Autor:
Gary Garcia-Molina, Trevor Winger, Nikhil Makaram, Megha Rajam Rao, Pavlo Chernega, Yehor Shcherbakov, Leah McGhee, Vidhya Chellamuthu, Erwin Veneros, Raj Mills, Mark Aloia, Kathryn J. Reid
Publikováno v:
Sensors, Vol 24, Iss 15, p 4882 (2024)
The transition from wakefulness to sleep occurs when the core body temperature decreases. The latter is facilitated by an increase in the cutaneous blood flow, which dissipates internal heat into the micro-environment surrounding the sleeper’s body
Externí odkaz:
https://doaj.org/article/27ef5f94bdf449f2aaa06ca3de544c92
Autor:
Trevor Winger, Vidhya Chellamuthu, Dmytro Guzenko, Mark Aloia, Shawn Barr, Susan DeFranco, Brandon Gorski, Faisal Mushtaq, Gary Garcia-Molina
Publikováno v:
Frontiers in Neurology, Vol 15 (2024)
IntroductionInsomnia causes serious adverse health effects and is estimated to affect 10–30% of the worldwide population. This study leverages personalized fine-tuned machine learning algorithms to detect insomnia risk based on questionnaire and lo
Externí odkaz:
https://doaj.org/article/05fc442f8ed44ca79d78e950885a39a1
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
The present study aims to connect the psychophysical research on the human visual perception of flicker with the neurophysiological research on steady-state visual evoked potentials (SSVEPs) in the context of their application needs and current techn
Externí odkaz:
https://doaj.org/article/09891db376244fdaa5c76bead602983f
Autor:
Gary Garcia-Molina
Publikováno v:
Sensors, Vol 24, Iss 1, p 96 (2023)
The ability to monitor blood pressure unobtrusively and continuously, even during sleep, may promote the prevention of cardiovascular diseases, enable the early detection of cardiovascular risk, and facilitate the timely administration of treatment.
Externí odkaz:
https://doaj.org/article/c44ba71f0fda4fe288177c7d9f6fdd4b
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract Steady-state visual evoked potentials (SSVEPs), the brain response to visual flicker stimulation, have proven beneficial in both research and clinical applications. Despite the practical advantages of stimulation at high frequencies in terms
Externí odkaz:
https://doaj.org/article/9a15909b21ed48b7a5d4a2e411e57e4c
Publikováno v:
Frontiers in Computational Neuroscience, Vol 12 (2018)
Objective: We investigate the design of deep recurrent neural networks for detecting sleep stages from single channel EEG signals recorded at home by non-expert users. We report the effect of data set size, architecture choices, regularization, and p
Externí odkaz:
https://doaj.org/article/9ba999a534864043b24414b58811305e
Publikováno v:
Sensors, Vol 22, Iss 7, p 2605 (2022)
The Sleep Number smart bed uses embedded ballistocardiography, together with network connectivity, signal processing, and machine learning, to detect heart rate (HR), breathing rate (BR), and sleep vs. wake states. This study evaluated the performanc
Externí odkaz:
https://doaj.org/article/0eefc41861d14a4e95c34edbbb8282e1
Publikováno v:
Encyclopedia of Sleep and Circadian Rhythms ISBN: 9780323910941
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f92d2619c3b6b769ef3ea091d4dcef63
https://doi.org/10.1016/b978-0-12-822963-7.00371-6
https://doi.org/10.1016/b978-0-12-822963-7.00371-6
Autor:
Gary Garcia-Molina, Jessica E. Manousakis, David P. White, Charmaine Diep, Clare Anderson, Lynn Ostrowski, Jeff Jasko
Publikováno v:
Sleep Medicine. 81:69-79
Chronic sleep restriction has been linked to occupational errors and motor vehicle crashes. Enhancing slow wave sleep may alleviate some of the cognitive deficits associated with chronic sleep restriction. However, the extent to which acoustic stimul
Publikováno v:
Journal of Sleep Research. 31
Acoustic stimulation has been shown to enhance slow wave sleep and in turn, cognition, and now cardiac outcomes in young adults. With the emergence of commercial acoustic devices in the home, we sought to examine the impact of an acoustic, slow wave