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Adam Hoover

Showing results (11-20 of 24) with videos related to

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IEEE Journal of Biomedical and Health Informatics|September 24, 2013
Detecting periods of eating during free-living by tracking wrist motionYujie Dong, Jenna Scisco, Mike Wilson, et al.
Digital Health|February 18, 2021
Combining ecological momentary assessment, wrist-based eating detection, and dietary assessment to characterize dietary lapse: A multi-method study protocolStephanie P Goldstein, Adam Hoover, E Whitney Evans, et al.
Aviation, Space, and Environmental Medicine|October 7, 2010
Head movements and simulator sickness generated by a virtual environmentAlexander D Walker, Eric R Muth, Fred S Switzer, et al.
IEEE Transactions on Bio-Medical Engineering|May 24, 2007
Real-time correction of heart interbeat intervalsJeromie Rand, Adam Hoover, Stephanie Fishel, et al.
IEEE Journal of Biomedical and Health Informatics|December 11, 2023
Detecting Eating Episodes From Wrist Motion Using Daily Pattern AnalysisZeyu Tang, Adam Patyk, James Jolly, et al.
JMIR Research Protocols|December 7, 2021
Optimizing a Just-in-Time Adaptive Intervention to Improve Dietary Adherence in Behavioral Obesity Treatment: Protocol for a Microrandomized TrialStephanie P Goldstein, Fengqing Zhang, Predrag Klasnja, et al.
Journal of Technology in Behavioral Science|March 31, 2022
The Behavioral Intervention with Technology for E-Weight Loss Study (BITES): Incorporating Energy Balance Models and the Bite Counter into an Online Behavioral Weight Loss ProgramCarly M Goldstein, Stephanie P Goldstein, Diana M Thomas, et al.
Journal of the Academy of Nutrition and Dietetics|June 4, 2019
Defining Adherence to Mobile Dietary Self-Monitoring and Assessing Tracking Over Time: Tracking at Least Two Eating Occasions per Day Is Best Marker of Adherence within Two Different Mobile Health Randomized Weight Loss InterventionsGabrielle M Turner-McGrievy, Caroline Glagola Dunn, Sara Wilcox, et al.
Smart Health (Amsterdam, Netherlands)|November 7, 2017
Byte by Bite: Use of a mobile Bite Counter and weekly behavioral challenges to promote weight lossGabrielle M Turner-McGrievy, Alycia Boutté, Anthony Crimarco, et al.
Digital Health|December 9, 2020
The role of self-efficacy and information processing in weight loss during an mHealth behavioral interventionGabrielle M Turner-McGrievy, Anthony Crimarco, Sara Wilcox, et al.
Pageof 3

Showing results (11-20 of 24) with videos related to

Sort By:
Pageof 3
IEEE Journal of Biomedical and Health Informatics|September 24, 2013
Detecting periods of eating during free-living by tracking wrist motionYujie Dong, Jenna Scisco, Mike Wilson, et al.
Digital Health|February 18, 2021
Combining ecological momentary assessment, wrist-based eating detection, and dietary assessment to characterize dietary lapse: A multi-method study protocolStephanie P Goldstein, Adam Hoover, E Whitney Evans, et al.
Aviation, Space, and Environmental Medicine|October 7, 2010
Head movements and simulator sickness generated by a virtual environmentAlexander D Walker, Eric R Muth, Fred S Switzer, et al.
IEEE Transactions on Bio-Medical Engineering|May 24, 2007
Real-time correction of heart interbeat intervalsJeromie Rand, Adam Hoover, Stephanie Fishel, et al.
IEEE Journal of Biomedical and Health Informatics|December 11, 2023
Detecting Eating Episodes From Wrist Motion Using Daily Pattern AnalysisZeyu Tang, Adam Patyk, James Jolly, et al.
JMIR Research Protocols|December 7, 2021
Optimizing a Just-in-Time Adaptive Intervention to Improve Dietary Adherence in Behavioral Obesity Treatment: Protocol for a Microrandomized TrialStephanie P Goldstein, Fengqing Zhang, Predrag Klasnja, et al.
Journal of Technology in Behavioral Science|March 31, 2022
The Behavioral Intervention with Technology for E-Weight Loss Study (BITES): Incorporating Energy Balance Models and the Bite Counter into an Online Behavioral Weight Loss ProgramCarly M Goldstein, Stephanie P Goldstein, Diana M Thomas, et al.
Journal of the Academy of Nutrition and Dietetics|June 4, 2019
Defining Adherence to Mobile Dietary Self-Monitoring and Assessing Tracking Over Time: Tracking at Least Two Eating Occasions per Day Is Best Marker of Adherence within Two Different Mobile Health Randomized Weight Loss InterventionsGabrielle M Turner-McGrievy, Caroline Glagola Dunn, Sara Wilcox, et al.
Smart Health (Amsterdam, Netherlands)|November 7, 2017
Byte by Bite: Use of a mobile Bite Counter and weekly behavioral challenges to promote weight lossGabrielle M Turner-McGrievy, Alycia Boutté, Anthony Crimarco, et al.
Digital Health|December 9, 2020
The role of self-efficacy and information processing in weight loss during an mHealth behavioral interventionGabrielle M Turner-McGrievy, Anthony Crimarco, Sara Wilcox, et al.
Pageof 3