A “two-step classification” machine learning method for non-invasive localization of premature ventricular contraction origins based on 12-lead ECG
Author:
Publisher
Springer Science and Business Media LLC
Subject
Physiology (medical),Cardiology and Cardiovascular Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10840-023-01551-7.pdf
Reference30 articles.
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2. Klein LS, Shih HT, Hackett FK, Zipes DP, Miles WM. Radiofrequency catheter ablation of ventricular tachycardia in patients without structural heart disease. Circulation. 1992;85(5):1666–74. https://doi.org/10.1161/01.cir.85.5.1666.
3. Adams JC, Srivathsan K, Shen WK. Advances in management of premature ventricular contractions. J Interv Card Electrophysiol. 2012;35(2):137–49. https://doi.org/10.1007/s10840-012-9698-x.
4. Wang Y, Cuculich PS, Zhang J, Desouza KA, Vijayakumar R, Chen J, Faddis MN, Lindsay BD, Smith TW, Rudy Y. Noninvasive electroanatomic mapping of human ventricular arrhythmias with electrocardiographic imaging. Sci Transl Med. 2011;3(98):98ra84. https://doi.org/10.1126/scitranslmed.3002152.
5. Lai D, Sun J, Li Y, He B. Usefulness of ventricular endocardial electric reconstruction from body surface potential maps to noninvasively localize ventricular ectopic activity in patients. Phys Med Biol. 2013;58(11):3897–909. https://doi.org/10.1088/0031-9155/58/11/3897.
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