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

Fitness Trackers and Smart Pedometers/Accelerometers (574) Engagement with and Adherence to Digital Health Interventions, Law of Attrition (507) mHealth for Data Collection and Research (988)

Published on in Vol 7, No 6 (2019): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12190, first published .
Consumer Wearable Deployments in Actigraphy Research: Evaluation of an Observational Study

Consumer Wearable Deployments in Actigraphy Research: Evaluation of an Observational Study

Consumer Wearable Deployments in Actigraphy Research: Evaluation of an Observational Study

Authors of this article:

Ciara Duignan1, 2 Author Orcid Image ;   Patrick Slevin1, 2 Author Orcid Image ;   Niladri Sett1 Author Orcid Image ;   Brian Caulfield1, 2 Author Orcid Image
Article Authors Cited by (5) Tweetations (15) Metrics

Journals

  1. Henriksen A, Sand A, Deraas T, Grimsgaard S, Hartvigsen G, Hopstock L. Succeeding with prolonged usage of consumer-based activity trackers in clinical studies: a mixed methods approach. BMC Public Health 2020;20(1) View
  2. Xing F, Peng G, Zhang B, Li S, Liang X. Socio-technical barriers affecting large-scale deployment of AI-enabled wearable medical devices among the ageing population in China. Technological Forecasting and Social Change 2021;166:120609 View
  3. Druijff‐van de Woestijne G, McConchie H, de Kort Y, Licitra G, Zhang C, Overeem S, Smolders K. Behavioural biometrics: Using smartphone keyboard activity as a proxy for rest–activity patterns. Journal of Sleep Research 2021;30(5) View
  4. Strudwick G, McLay D, Lo B, Shin H, Currie L, Thomson N, Maillet É, Strong V, Miller A, Shen N, Campbell J. Development of a Resource Guide to Support the Engagement of Mental Health Providers and Patients With Digital Health Tools: Multimethod Study. Journal of Medical Internet Research 2021;23(4):e25773 View
  5. Song T, Chowdhury S, Malekzadeh M, Harrison S, Hoge T, Redline S, Stone K, Saxena R, Purcell S, Dutta J, Srinivasan K. AI-Driven sleep staging from actigraphy and heart rate. PLOS ONE 2023;18(5):e0285703 View