Published on in Vol 6 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/40474, first published
.

Journals
- 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
- van Melzen R, Haveman M, Schuurmann R, van Amsterdam K, El Moumni M, Tabak M, Struys M, de Vries J. Validity and Reliability of Wearable Sensors for Continuous Postoperative Vital Signs Monitoring in Patients Recovering from Trauma Surgery. Sensors 2024;24(19):6379 View
- Bignami E, Panizzi M, Bezzi F, Mion M, Bagnoli M, Bellini V. Wearable devices as part of postoperative early warning score systems: a scoping review. Journal of Clinical Monitoring and Computing 2024;39(1):233 View
- Xiang A, Hu J, Ladha K. The utility of wearable devices in the perioperative period. Current Opinion in Anaesthesiology 2025;38(2):143 View
- Breteler M, Leigard E, Hartung L, Welch J, Brealey D, Fritsch S, Konrad D, Hertzberg D, Bell M, Rienstra H, Rademakers F, Kalkman C. Reliability of an all-in-one wearable sensor for continuous vital signs monitoring in high-risk patients: the NIGHTINGALE clinical validation study. Journal of Clinical Monitoring and Computing 2025 View
Books/Policy Documents
- Chung C, Roy V, Tse G, Liu H. Signal Processing Driven Machine Learning Techniques for Cardiovascular Data Processing. View