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JMIR Research Protocols
|
October 17, 2025
Home-Based Digital Technologies to Support Aging-in-Place for Rural African American People With Alzheimer Disease and Their Care Partners: Protocol for a Mixed Methods Feasibility Study
Otis Owens, Rahul Ghosal, Zachary Beattie, et al.
Scientific Reports
|
September 29, 2025
Glucodensity functional profiles outperform traditional continuous glucose monitoring metrics
Marcos Matabuena, Rahul Ghosal, Javier Enrique Aguilar, et al.
Journal of Geriatric Psychiatry and Neurology
|
August 26, 2024
The Associations of Sensory Impairment With 10-Year Risk of Dementia and Alzheimer's Disease: The Health and Retirement Study, 2010-2020
Kun Li, Rahul Ghosal, Donglan Zhang, et al.
Human Behavior and Emerging Technologies
|
December 19, 2025
Advancing Objective Mobile Device Use Measurement in Children Ages 6-11 Through Built-In Device Sensors: A Proof-of-Concept Study
Olivia L Finnegan, R Glenn Weaver, Hongpeng Yang, et al.
Medicine and Science in Sports and Exercise
|
April 8, 2025
Leveraging Accelerometry and Heartrate Data from Consumer Wearables to Predict Physical Activity in Children: A Device Agnostic Approach
Rahul Ghosal, James W White, Olivia Finnegan, et al.
Journal of Technology in Behavioral Science
|
January 12, 2026
Applying Behavioral Biometrics to Mobile Device Use Measurement in Children: Evaluating the Impact of Training Data Size, Proximity, and Type on Model Performance
Olivia L Finnegan, Hongpeng Yang, Bridget Armstrong, et al.
Journal for the Measurement of Physical Behaviour
|
March 30, 2026
The Ability of Monitor-Independent Movement Summary Units, Euclidean Norm Minus One, and Mean Amplitude Deviation to Harmonize Accelerometry Data Across Research-Grade and Consumer Wearable Devices During Simulated Free-Living Physical Activity in Children
Olivia L Finnegan, James W White, Bridget Armstrong, et al.
Sleep
|
November 19, 2024
Evaluating the performance of open-source and proprietary processing of actigraphy sleep estimation in children with suspected sleep disorders: a comparison with polysomnography
Aliye B Cepni, Sarah Burkart, Xuanxuan Zhu, et al.
Plos One
|
March 29, 2024
Comparison of raw accelerometry data from ActiGraph, Apple Watch, Garmin, and Fitbit using a mechanical shaker table
James W White, Olivia L Finnegan, Nick Tindall, et al.
Journal of Sleep Research
|
July 17, 2025
Predicting Sleep and Sleep Stage in Children Using Actigraphy and Heartrate via a Long Short-Term Memory Deep Learning Algorithm: A Performance Evaluation
R Glenn Weaver, James W White, Olivia Finnegan, et al.
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of 4
Search research articles
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Showing results (21-30 of 33) with videos related to
Sort By:
Page
of 4
JMIR Research Protocols
|
October 17, 2025
Home-Based Digital Technologies to Support Aging-in-Place for Rural African American People With Alzheimer Disease and Their Care Partners: Protocol for a Mixed Methods Feasibility Study
Otis Owens, Rahul Ghosal, Zachary Beattie, et al.
Scientific Reports
|
September 29, 2025
Glucodensity functional profiles outperform traditional continuous glucose monitoring metrics
Marcos Matabuena, Rahul Ghosal, Javier Enrique Aguilar, et al.
Journal of Geriatric Psychiatry and Neurology
|
August 26, 2024
The Associations of Sensory Impairment With 10-Year Risk of Dementia and Alzheimer's Disease: The Health and Retirement Study, 2010-2020
Kun Li, Rahul Ghosal, Donglan Zhang, et al.
Human Behavior and Emerging Technologies
|
December 19, 2025
Advancing Objective Mobile Device Use Measurement in Children Ages 6-11 Through Built-In Device Sensors: A Proof-of-Concept Study
Olivia L Finnegan, R Glenn Weaver, Hongpeng Yang, et al.
Medicine and Science in Sports and Exercise
|
April 8, 2025
Leveraging Accelerometry and Heartrate Data from Consumer Wearables to Predict Physical Activity in Children: A Device Agnostic Approach
Rahul Ghosal, James W White, Olivia Finnegan, et al.
Journal of Technology in Behavioral Science
|
January 12, 2026
Applying Behavioral Biometrics to Mobile Device Use Measurement in Children: Evaluating the Impact of Training Data Size, Proximity, and Type on Model Performance
Olivia L Finnegan, Hongpeng Yang, Bridget Armstrong, et al.
Journal for the Measurement of Physical Behaviour
|
March 30, 2026
The Ability of Monitor-Independent Movement Summary Units, Euclidean Norm Minus One, and Mean Amplitude Deviation to Harmonize Accelerometry Data Across Research-Grade and Consumer Wearable Devices During Simulated Free-Living Physical Activity in Children
Olivia L Finnegan, James W White, Bridget Armstrong, et al.
Sleep
|
November 19, 2024
Evaluating the performance of open-source and proprietary processing of actigraphy sleep estimation in children with suspected sleep disorders: a comparison with polysomnography
Aliye B Cepni, Sarah Burkart, Xuanxuan Zhu, et al.
Plos One
|
March 29, 2024
Comparison of raw accelerometry data from ActiGraph, Apple Watch, Garmin, and Fitbit using a mechanical shaker table
James W White, Olivia L Finnegan, Nick Tindall, et al.
Journal of Sleep Research
|
July 17, 2025
Predicting Sleep and Sleep Stage in Children Using Actigraphy and Heartrate via a Long Short-Term Memory Deep Learning Algorithm: A Performance Evaluation
R Glenn Weaver, James W White, Olivia Finnegan, et al.
Page
of 4