Zobrazeno 1 - 10
of 162
pro vyhledávání: '"Stephen S, Intille"'
Autor:
Rachel L Carey, Ha Le, Donna L Coffman, Inbal Nahum-Shani, Mohanraj Thirumalai, Cole Hagen, Laura A Baehr, Mary Schmidt-Read, Marlyn S R Lamboy, Stephanie A Kolakowsky-Hayner, Ralph J Marino, Stephen S Intille, Shivayogi V Hiremath
Publikováno v:
JMIR Research Protocols, Vol 13, p e57699 (2024)
BackgroundThe lack of regular physical activity (PA) in individuals with spinal cord injury (SCI) in the United States is an ongoing health crisis. Regular PA and exercise-based interventions have been linked with improved outcomes and healthier life
Externí odkaz:
https://doaj.org/article/16f02b903721422ca36e0a5828eef3d4
Autor:
Sy-Miin, Chow, Inbal, Nahum-Shani, Justin T, Baker, Donna, Spruijt-Metz, Nicholas B, Allen, Ryan P, Auerbach, Genevieve F, Dunton, Naomi P, Friedman, Stephen S, Intille, Predrag, Klasnja, Benjamin, Marlin, Matthew K, Nock, Scott L, Rauch, Misha, Pavel, Scott, Vrieze, David W, Wetter, Evan M, Kleiman, Timothy R, Brick, Heather, Perry, Dana L, Wolff-Hughes, Einat, Liebenthal
Publikováno v:
Translational Behavioral Medicine. 13:7-16
The ILHBN is funded by the National Institutes of Health to collaboratively study the interactive dynamics of behavior, health, and the environment using Intensive Longitudinal Data (ILD) to (a) understand and intervene on behavior and health and (b)
Autor:
Shivayogi V Hiremath, Amir Mohammad Amiri, Binod Thapa-Chhetry, Gretchen Snethen, Mary Schmidt-Read, Marlyn Ramos-Lamboy, Donna L Coffman, Stephen S Intille
Publikováno v:
PLoS ONE, Vol 14, Iss 11, p e0225490 (2019)
[This corrects the article DOI: 10.1371/journal.pone.0223762.].
Externí odkaz:
https://doaj.org/article/620dc92fb48944cabe3b018b57b8cbdd
Autor:
Shivayogi V Hiremath, Amir Mohammad Amiri, Binod Thapa-Chhetry, Gretchen Snethen, Mary Schmidt-Read, Marlyn Ramos-Lamboy, Donna L Coffman, Stephen S Intille
Publikováno v:
PLoS ONE, Vol 14, Iss 10, p e0223762 (2019)
Low levels of physical activity (PA) and high levels of sedentary behavior in individuals with spinal cord injury (SCI) have been associated with secondary conditions such as pain, fatigue, weight gain, and deconditioning. One strategy for promoting
Externí odkaz:
https://doaj.org/article/299b03d17d954ba78647a4329663c895
Autor:
Donald Hedeker, Aditya Ponnada, Genevieve F. Dunton, Stephen S. Intille, Chih-Hsiang Yang, Rachel Nordgren, Eldin Dzubur
Publikováno v:
Behavior Research Methods
The use of intensive sampling methods, such as ecological momentary assessment (EMA), is increasingly prominent in medical research. However, inferences from such data are often limited to the subject-specific mean of the outcome and between-subject
Publikováno v:
J Meas Phys Behav
Background: Physical behavior researchers using motion sensors often use acceleration summaries to visualize, clean, and interpret data. Such output is dependent on device specifications (e.g., dynamic range, sampling rate) and/or are proprietary, wh
Publikováno v:
IEEE Pervasive Computing. 19:11-13
The articles in this special section focus on personalized pervasive health. For over more than two decades, mobile, wearable, and ambient sensor and interaction devices have grown into today’s plethora of computing platforms and tools for pervasiv
Autor:
Genevieve F. Dunton, Adam M. Leventhal, Amanda L. Rebar, Benjamin Gardner, Stephen S. Intille, Alexander J. Rothman
Publikováno v:
Psychology of Sport and Exercise. 61:102214
Autor:
Genevieve F. Dunton, Wei-Lin Wang, Stephen S. Intille, Eldin Dzubur, Aditya Ponnada, Donald Hedeker
Publikováno v:
Journal of behavioral medicine. 45(3)
Research examined how acute affect dynamics, including stability and context-dependency, contribute to changes in children's physical activity levels as they transition from late-childhood to early-adolescence. Children (N = 151) (ages 8-12 years at
Autor:
Aditya Ponnada, Binod Thapa-Chhetry, Josh Aaron Miller, Stephen S. Intille, Dinesh John, Seth Cooper, Qu Tang
Publikováno v:
PerCom Workshops
Proc IEEE Int Conf Pervasive Comput Commun
Proc IEEE Int Conf Pervasive Comput Commun
Human activity recognition using wearable accelerometers can enable in-situ detection of physical activities to support novel human-computer interfaces. Many of the machine-learning-based activity recognition algorithms require multi-person, multi-da