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Caleb Mayer
Caleb Mayer
Stanford University
Verified email at umich.edu
Title
Cited by
Cited by
Year
Predicting circadian misalignment with wearable technology: validation of wrist-worn actigraphy and photometry in night shift workers
P Cheng, O Walch, Y Huang, C Mayer, C Sagong, A Cuamatzi Castelan, ...
Sleep 44 (2), zsaa180, 2021
462021
Predicting circadian phase across populations: a comparison of mathematical models and wearable devices
Y Huang, C Mayer, P Cheng, A Siddula, HJ Burgess, C Drake, ...
Sleep 44 (10), zsab126, 2021
372021
A method for characterizing daily physiology from widely used wearables
C Bowman, Y Huang, OJ Walch, Y Fang, E Frank, J Tyler, C Mayer, ...
Cell reports methods 1 (4), 2021
352021
Consumer-grade wearables identify changes in multiple physiological systems during COVID-19 disease progression
C Mayer, J Tyler, Y Fang, C Flora, E Frank, M Tewari, SW Choi, S Sen, ...
Cell Reports Medicine 3 (4), 2022
142022
Monitoring health care workers at risk for COVID-19 using wearable sensors and smartphone technology: Protocol for an observational mHealth study
CA Clingan, M Dittakavi, M Rozwadowski, KN Gilley, CR Cislo, J Barabas, ...
JMIR research protocols 10 (5), e29562, 2021
122021
High-frequency temperature monitoring for early detection of febrile adverse events in patients with cancer
C Flora, J Tyler, C Mayer, DE Warner, SN Khan, V Gupta, R Lindstrom, ...
Cancer Cell 39 (9), 1167-1168, 2021
112021
Efficient assessment of real-world dynamics of circadian rhythms in heart rate and body temperature from wearable data
DW Kim, C Mayer, MP Lee, SW Choi, M Tewari, DB Forger
Journal of the Royal Society Interface 20 (205), 20230030, 2023
42023
Distinct circadian assessments from wearable data reveal social distancing promoted internal desynchrony between circadian markers
Y Huang, C Mayer, OJ Walch, C Bowman, S Sen, C Goldstein, J Tyler, ...
Frontiers in Digital Health 3, 727504, 2021
42021
Monitoring beliefs and physiological measures in students at risk for COVID-19 using wearable sensors and smartphone technology: Protocol for a mobile health study.
C Cislo, C Clingan, K Gilley, M Rozwadowski, I Gainsburg, C Bradley, ...
JMIR research protocols, 2021
42021
Monitoring beliefs and physiological measures using wearable sensors and smartphone technology among students at risk of COVID-19: protocol for a mHealth study
C Cislo, C Clingan, K Gilley, M Rozwadowski, I Gainsburg, C Bradley, ...
JMIR Research Protocols 10 (6), e29561, 2021
22021
Impact of light schedules and model parameters on the circadian outcomes of individuals
C Mayer, O Walch, DB Forger, K Hannay
Journal of Biological Rhythms 38 (4), 379-391, 2023
12023
Systems and methods for enhancing infection detection and monitoring through decomposed physiological data
D Forger, J Tyler, C Mayer, S Sen, Y Fang, C Flora, SW Choi, M Tewari
US Patent App. 17/859,647, 2023
2023
Traveling wave solutions for a cancer stem cell invasion model.
C Mayer, E Stachura
Discrete & Continuous Dynamical Systems-Series B 26 (9), 2021
2021
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Articles 1–13