This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2412) Wearable Devices and Sensors (889) Fitness Trackers and Smart Pedometers/Accelerometers (561) Physical Activity for Older People (179) mHealth for Wellness, Behavior Change and Prevention (2872) Innovations and Technology for Physical Activity Education (742) mHealth for Data Collection and Research (955)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41685, first published .
Wrist Accelerometer Estimates of Physical Activity Intensity During Walking in Older Adults and People Living With Complex Health Conditions: Retrospective Observational Data Analysis Study

Wrist Accelerometer Estimates of Physical Activity Intensity During Walking in Older Adults and People Living With Complex Health Conditions: Retrospective Observational Data Analysis Study

Wrist Accelerometer Estimates of Physical Activity Intensity During Walking in Older Adults and People Living With Complex Health Conditions: Retrospective Observational Data Analysis Study

Authors of this article:

Kyle S Weber1 Author Orcid Image ;   F Elizabeth Godkin1 Author Orcid Image ;   Benjamin F Cornish1 Author Orcid Image ;   William E McIlroy1 Author Orcid Image ;   Karen Van Ooteghem1 Author Orcid Image
Article Authors Cited by (3) Tweetations (7) Metrics

Journals

  1. Van Ooteghem K, Godkin F, Thai V, Beyer K, Cornish B, Weber K, Bernstein H, Kheiri S, Swartz R, Tan B, McIlroy W, Roberts A. User-centered design of feedback regarding health-related behaviors derived from wearables: An approach targeting older adults and persons living with neurodegenerative disease. DIGITAL HEALTH 2023;9 View
  2. Beyer K, Weber K, Cornish B, Vert A, Thai V, Godkin F, McIlroy W, Van Ooteghem K. NiMBaLWear analytics pipeline for wearable sensors: a modular, open-source platform for evaluating multiple domains of health and behaviour. BMC Digital Health 2024;2(1) View
  3. Cornish B, Van Ooteghem K, Wong M, Weber K, Pieruccini-Faria F, Montero-Odasso M, McIlroy W. Evaluation of a finite state machine algorithm to measure stepping with ankle accelerometry: Performance across a range of gait speeds, tasks, and individual walking ability. Medical Engineering & Physics 2024;133:104251 View