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

Postoperative Monitoring and Telemonitoring (109) Wearable Devices and Sensors (825) Design and Usability of Medical Devices (86) Novel Sensors and Data Acquisition Methods in Cardiology (191)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40474, first published .
The Accuracy of Wrist-Worn Photoplethysmogram–Measured Heart and Respiratory Rates in Abdominal Surgery Patients: Observational Prospective Clinical Validation Study

The Accuracy of Wrist-Worn Photoplethysmogram–Measured Heart and Respiratory Rates in Abdominal Surgery Patients: Observational Prospective Clinical Validation Study

The Accuracy of Wrist-Worn Photoplethysmogram–Measured Heart and Respiratory Rates in Abdominal Surgery Patients: Observational Prospective Clinical Validation Study

Authors of this article:

Jonna A van der Stam1, 2, 3 Author Orcid Image ;   Eveline H J Mestrom4 Author Orcid Image ;   Jai Scheerhoorn5 Author Orcid Image ;   Fleur E N B Jacobs6 Author Orcid Image ;   Simon Nienhuijs5 Author Orcid Image ;   Arjen-Kars Boer2, 3 Author Orcid Image ;   Natal A W van Riel1, 3, 7 Author Orcid Image ;   Helma M de Morree8 Author Orcid Image ;   Alberto G Bonomi8 Author Orcid Image ;   Volkher Scharnhorst1, 2, 3 Author Orcid Image ;   R Arthur Bouwman4, 9 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Cui X, Wang J, Xue S, Qin Z, Peng C. Quantifying the accuracy of inter-beat intervals acquired from consumer-grade photoplethysmography wristbands using an electrocardiogram-aided information-based similarity approach. Physiological Measurement 2024;45(3):035002 View

Books/Policy Documents

  1. Chung C, Roy V, Tse G, Liu H. Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing. View