Integration of novel monitoring devices with machine learning technology for scalable cardiovascular management
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cardiology and Cardiovascular Medicine
Link
https://www.nature.com/articles/s41569-020-00445-9.pdf
Reference138 articles.
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3. Barbosa, R. S. et al. Defining the pattern of initiation of monomorphic ventricular tachycardia using the beat-to-beat intervals recorded on implantable cardioverter defibrillators from the RAFT study: a computer-based algorithm. J. Electrocardiol. 51, 470–474 (2018).
4. Charitos, E. I., Pürerfellner, H., Glotzer, T. V. & Ziegler, P. D. Clinical classifications of atrial fibrillation poorly reflect its temporal persistence: insights from 1,195 patients continuously monitored with implantable devices. J. Am. Coll. Cardiol. 63, 2840–2848 (2014).
5. Andrade, J. G. et al. Cryoballoon or radiofrequency ablation for atrial fibrillation assessed by continuous monitoring: a randomized clinical trial. Circulation 140, 1779–1788 (2019).
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