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

Wearables and MHealth Viewpoints (79) mHealth for Data Collection and Research (953) Tools, Programs and Algorithms (265) eHealth Infrastructures (342) Internet of Things (77) Innovations in Clinical Trials and Research Data Management (83) Wearable Devices and Sensors (885)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50043, first published .
Data Collection and Management of mHealth, Wearables, and Internet of Things in Digital Behavioral Health Interventions With the Awesome Data Acquisition Method (ADAM): Development of a Novel Informatics Architecture

Data Collection and Management of mHealth, Wearables, and Internet of Things in Digital Behavioral Health Interventions With the Awesome Data Acquisition Method (ADAM): Development of a Novel Informatics Architecture

Data Collection and Management of mHealth, Wearables, and Internet of Things in Digital Behavioral Health Interventions With the Awesome Data Acquisition Method (ADAM): Development of a Novel Informatics Architecture

Authors of this article:

I Wayan Pulantara1 Author Orcid Image ;   Yuhan Wang1 Author Orcid Image ;   Lora E Burke2, 3 Author Orcid Image ;   Susan M Sereika2, 3 Author Orcid Image ;   Zhadyra Bizhanova3 Author Orcid Image ;   Jacob K Kariuki4 Author Orcid Image ;   Jessica Cheng3 Author Orcid Image ;   Britney Beatrice2 Author Orcid Image ;   India Loar2 Author Orcid Image ;   Maribel Cedillo5 Author Orcid Image ;   Molly B Conroy5 Author Orcid Image ;   Bambang Parmanto1 Author Orcid Image
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