Wearable technology and the cardiovascular system: the future of patient assessment

Gareth J. Williams, Abdulaziz Al-Baraikan, Frank E. Rademakers, Fabio Ciravegna, Frans N. van de Vosse, Allan Lawrie, Alexander Rothman, Euan A. Ashley, Martin R. Wilkins, Patricia V. Lawford, Stig W. Omholt, Ulrik Wisløff, D. Rodney Hose, Timothy J.A. Chico, Julian P. Gunn, Paul D. Morris (Corresponding author)

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Samenvatting

The past decade has seen a dramatic rise in consumer technologies able to monitor a variety of cardiovascular parameters. Such devices initially recorded markers of exercise, but now include physiological and health-care focused measurements. The public are keen to adopt these devices in the belief that they are useful to identify and monitor cardiovascular disease. Clinicians are therefore often presented with health app data accompanied by a diverse range of concerns and queries. Herein, we assess whether these devices are accurate, their outputs validated, and whether they are suitable for professionals to make management decisions. We review underpinning methods and technologies and explore the evidence supporting the use of these devices as diagnostic and monitoring tools in hypertension, arrhythmia, heart failure, coronary artery disease, pulmonary hypertension, and valvular heart disease. Used correctly, they might improve health care and support research.

Originele taal-2Engels
Pagina's (van-tot)e467-e476
Aantal pagina's10
TijdschriftThe Lancet. Digital Health
Volume5
Nummer van het tijdschrift7
DOI's
StatusGepubliceerd - jul. 2023

Bibliografische nota

Funding Information:
All figures created with Biorender.com. This work was supported by the National Institute for Health and Care Research (NIHR) Sheffield Biomedical Research Centre (BRC). The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. PDM was funded by the Wellcome Trust (grant number 214567/Z/18/Z). GJW was funded by the Engineering and Physical Sciences Research Council (scholarship number 199860907). AA-B was supported by King Saud bin Abdulaziz University for Health Sciences via the Saudi Cultural Bureau. AL was supported by the British Heart Foundation (grant number FS/18/52/33808). AR was funded by the Wellcome Trust (grant number 206632/Z/17/z), MRC Experimental Medicine Award (grant number MR/W026279/1), Medtronic External Research Program, Abbott Investigator Sponsor Studies Award, Endotronix, Novartis, and Janssen. MRW was supported by the British Heart Foundation (grant number RE/18/4/34215) and the National Institute for Health and Care Research. TJAC was supported by the Engineering and Physical Sciences Research Council. None of the funding sources had any role in the writing of the manuscript, and none of the authors have been paid to write this manuscript.

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