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

Formative Evaluation of Digital Health Interventions (2491) mHealth for Data Collection and Research (981) Cardiac Arrhythmia, Atrial Fibrillation (87) Wearable Devices and Sensors (903) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Development and Evaluation of Research Methods, Instruments and Tools (511)

Published on in Vol 6, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29479, first published .
Analyzability of Photoplethysmographic Smartwatch Data by the Preventicus Heartbeats Algorithm During Everyday Life: Feasibility Study

Analyzability of Photoplethysmographic Smartwatch Data by the Preventicus Heartbeats Algorithm During Everyday Life: Feasibility Study

Analyzability of Photoplethysmographic Smartwatch Data by the Preventicus Heartbeats Algorithm During Everyday Life: Feasibility Study

Authors of this article:

Steve Merschel1 Author Orcid Image ;   Lars Reinhardt2 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Ward M, Malloy J, Kannmacher C, Steinhubl S. Educating the healthcare workforce of the future: lessons learned from the development and implementation of a ‘Wearables in Healthcare’ course. npj Digital Medicine 2023;6(1) View
  2. Köhler C, Bartschke A, Fürstenau D, Schaaf T, Salgado-Baez E. The Value of Smartwatches in the Health Care Sector for Monitoring, Nudging, and Predicting: Viewpoint on 25 Years of Research. Journal of Medical Internet Research 2024;26:e58936 View