Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Olivia J Walch"'
Autor:
Yitong Huang, Caleb Mayer, Olivia J. Walch, Clark Bowman, Srijan Sen, Cathy Goldstein, Jonathan Tyler, Daniel B. Forger
Publikováno v:
Frontiers in Digital Health, Vol 3 (2021)
Mobile measures of human circadian rhythms (CR) are needed in the age of chronotherapy. Two wearable measures of CR have recently been validated: one that uses heart rate to extract circadian rhythms that originate in the sinoatrial node of the heart
Externí odkaz:
https://doaj.org/article/11a45d2cf1784502b330eca81400c15a
Autor:
Clark Bowman, Yitong Huang, Olivia J. Walch, Yu Fang, Elena Frank, Jonathan Tyler, Caleb Mayer, Christopher Stockbridge, Cathy Goldstein, Srijan Sen, Daniel B. Forger
Publikováno v:
Cell Reports: Methods, Vol 1, Iss 4, Pp 100058- (2021)
Summary: Millions of wearable-device users record their heart rate (HR) and activity. We introduce a statistical method to extract and track six key physiological parameters from these data, including an underlying circadian rhythm in HR (CRHR), the
Externí odkaz:
https://doaj.org/article/58e021495b4440aaa4a5088ae4739a24
Autor:
Adam R. Stinchcombe, Caiping Hu, Olivia J. Walch, Samuel D. Faught, Kwoon Y. Wong, Daniel B. Forger
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
Proper circadian photoentrainment is crucial for the survival of many organisms. In mammals, intrinsically photosensitive retinal ganglion cells (ipRGCs) can use the photopigment melanopsin to sense light independently from rod and cone photoreceptor
Externí odkaz:
https://doaj.org/article/cdf7053353314c6ea12b5941fcbd38bc
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 12, p e1008445 (2020)
Which suggestions for behavioral modifications, based on mathematical models, are most likely to be followed in the real world? We address this question in the context of human circadian rhythms. Jet lag is a consequence of the misalignment of the bo
Externí odkaz:
https://doaj.org/article/189a0a605f794474bcf8cd7832121f49
Autor:
Olivia J. Walch
Publikováno v:
Current Opinion in Systems Biology. 22:16-21
Wearable data has never been as affordable and easy to access as it is right now. With the increasing popularity of consumer wearables, like Fitbit and Apple Watch, as well as the growing range of more specialized sensors, such as skin patches and gl
Autor:
Yitong Huang, Olivia J. Walch, Cathy Goldstein, Jonathan Tyler, Christopher Stockbridge, Elena Frank, Clark Bowman, Srijan Sen, Daniel B. Forger, Yu Fang, Caleb Mayer
Publikováno v:
Cell Reports: Methods, Vol 1, Iss 4, Pp 100058-(2021)
Summary: Millions of wearable-device users record their heart rate (HR) and activity. We introduce a statistical method to extract and track six key physiological parameters from these data, including an underlying circadian rhythm in HR (CRHR), the
Autor:
Philip Cheng, Helen J Burgess, Christopher L. Drake, Yitong Huang, Thomas Roth, Caleb Mayer, Olivia J. Walch, Chaewon Sagong, Andrea Cuamatzi Castelan, Daniel B. Forger
Publikováno v:
Sleep
Study ObjectivesA critical barrier to successful treatment of circadian misalignment in shift workers is determining circadian phase in a clinical or field setting. Light and movement data collected passively from wrist actigraphy can generate predic
Autor:
Clark Bowman, Olivia J. Walch, Elena Frank, Yu Fang, Daniel B. Forger, Yina H. Huang, Cathy Goldstein, Sandip Sen
Real world passive measures of circadian timekeeping have the potential to improve the efficacy of medical treatments and improve human performance on a broad scale. Here, we present algorithms for extracting and quantifying the uncertainty of estima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d94363968edaf2c777f31e783e9136a
Autor:
Daniel B. Forger, Olivia J. Walch
Publikováno v:
Current Opinion in Systems Biology. 24:155-156
Autor:
Helen J Burgess, Christopher L. Drake, Cathy Goldstein, Daniel B. Forger, Olivia J. Walch, Alankrita Siddula, Yitong Huang, Philip Cheng, Caleb Mayer
Publikováno v:
Sleep
From smart work scheduling to optimal drug timing, there is enormous potential in translating circadian rhythms research results for precision medicine in the real world. However, the pursuit of such effort requires the ability to accurately estimate