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

Mobile Health (mhealth) (2359) Wearable Devices and Sensors (733) Novel Sensors and Data Acquisition Methods in Cardiology (172) Fitness Trackers and Smart Pedometers/Accelerometers (513)

Published on in Vol 24, No 12 (2022): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/42359, first published .
Accuracy and Systematic Biases of Heart Rate Measurements by Consumer-Grade Fitness Trackers in Postoperative Patients: Prospective Clinical Trial

Accuracy and Systematic Biases of Heart Rate Measurements by Consumer-Grade Fitness Trackers in Postoperative Patients: Prospective Clinical Trial

Accuracy and Systematic Biases of Heart Rate Measurements by Consumer-Grade Fitness Trackers in Postoperative Patients: Prospective Clinical Trial

Authors of this article:

Philipp Helmer 1 Author Orcid Image ;   Sebastian Hottenrott 1 Author Orcid Image ;   Philipp Rodemers 1 Author Orcid Image ;   Robert Leppich 2 Author Orcid Image ;   Maja Helwich 1 Author Orcid Image ;   Rüdiger Pryss 3 Author Orcid Image ;   Peter Kranke 1 Author Orcid Image ;   Patrick Meybohm 1 Author Orcid Image ;   Bernd E Winkler 1 Author Orcid Image ;   Michael Sammeth 1, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Journals

  1. Bin K, De Pretto L, Sanchez F, De Souza e Castro F, Ramos V, Battistella L. Digital Platform for Continuous Monitoring of Patients Using a Smartwatch: Longitudinal Prospective Cohort Study. JMIR Formative Research 2023;7:e47388 View
  2. Jupe E, Lushington G, Purushothaman M, Pautasso F, Armstrong G, Sorathia A, Crawley J, Nadipelli V, Rubin B, Newhardt R, Munroe M, Adelman B. Tracking of Systemic Lupus Erythematosus (SLE) Longitudinally Using Biosensor and Patient-Reported Data: A Report on the Fully Decentralized Mobile Study to Measure and Predict Lupus Disease Activity Using Digital Signals—The OASIS Study. BioTech 2023;12(4):62 View