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

Cardiac Self-Management (185) mHealth for Data Collection and Research (1810) Decision Support for Health Professionals (2410) Wearable Devices and Sensors (1685) Novel Sensors and Data Acquisition Methods in Cardiology (275) Mobile Apps for Cardiology (230) e-Cardiology and Telemonitoring in Cardiology (306) Cardiac Risk and Cardiac Risk Calculators (194)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76218, first published .
Smartwatch displays heart rate, phone shows steps graph with downward trend.

Using Patient-Held Devices to Measure Variations in Resting Heart Rate and Step Count Prior to Presentation With an Acute Illness: International, Multicenter Flash Mob Feasibility Study

Using Patient-Held Devices to Measure Variations in Resting Heart Rate and Step Count Prior to Presentation With an Acute Illness: International, Multicenter Flash Mob Feasibility Study

Authors of this article:

Jason G A den Duijn1 Author Orcid Image ;   Ahmed A M Hajjaj2 Author Orcid Image ;   John Kellett3 Author Orcid Image ;   Erika Frischknecht Christensen4 Author Orcid Image ;   Harm R Haak5, 6 Author Orcid Image ;   Mikkel Brabrand7 Author Orcid Image ;   Christian H Nickel8 Author Orcid Image ;   Prabath W B Nanayakkara9 Author Orcid Image ;   Christian P Subbe2, 10 Author Orcid Image ;   Jelmer Alsma11 Author Orcid Image ;   Safer@Home12 ;   Research Consoritum Acute Medicine (ORCA)12
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Moka M, Vanathi M J, Rathakrishnan D, D.K S, George M. Flash mob research: an emerging paradigm for rapid and participatory clinical investigation. Journal of Clinical Epidemiology 2026;199:112436 View
  2. Papaefstathiou M, Elgendi M, Menon C. From stretchable materials and functional fibers to intelligent textile sensing systems. Communications Materials 2026;7(1) View