Arrhythmia
What's New
Last Posted: Mar 19, 2024
- An Arrhythmia classification approach via deep learning using single-lead ECG without QRS wave detection.
Liong-Rung Liu et al. Heliyon 2024 10(5) e27200 - Deep Learning-Augmented ECG Analysis for Screening and Genotype Prediction of Congenital Long QT Syndrome.
River Jiang et al. JAMA Cardiol 2024 - The impact of damaging epilepsy and cardiac genetic variant burden in sudden death in the young.
Megan J Puckelwartz et al. Genome Med 2024 16(1) 13 - The frequency of gene variant reclassification and its impact on clinical management in the inherited arrhythmia clinic.
William J Young et al. Heart Rhythm 2024 - Utility of smart watches for identifying arrhythmias in children
A Zahedivash et al, Comm Medicine, December 13, 2023 - Prospective, multi-site study of healthcare utilization after actionable monogenic findings from clinical sequencing.
Jodell E Linder et al. Am J Hum Genet 2023 - Artificial intelligence-enhanced 12-lead electrocardiography for identifying atrial fibrillation during sinus rhythm (AIAFib) trial: protocol for a multicenter retrospective study.
Yong-Soo Baek et al. Front Cardiovasc Med 2023 101258167 - Deep learning for ECG Arrhythmia detection and classification: an overview of progress for period 2017-2023.
Yaqoob Ansari et al. Front Physiol 2023 141246746 - Prediction model of atrial fibrillation recurrence after Cox-Maze IV procedure in patients with chronic valvular disease and atrial fibrillation based on machine learning algorithm.
Zenan Jiang et al. Zhong Nan Da Xue Xue Bao Yi Xue Ban 2023 48(7) 995-1007 - Single-lead arrhythmia detection through machine learning: cross-sectional evaluation of a novel algorithm using real-world data.
Henry Mitchell et al. Open Heart 2023 10(2)
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HLBS-PopOmics is an online, continuously updated, searchable database of published scientific literature, CDC and NIH resources, and other materials that address the translation of genomic and other precision health discoveries into improved health care and prevention related to Heart and Vascular Diseases(H), Lung Diseases(L), Blood Diseases(B), and Sleep Disorders(S)...more
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Mensah GA, Yu W, Barfield WL, Clyne M, Engelgau MM, Khoury MJ. HLBS-PopOmics: an online knowledge base to accelerate dissemination and implementation of research advances in population genomics to reduce the burden of heart, lung, blood, and sleep disorders. Genet Med. 2018 Sep 10. doi: 10.1038/s41436-018-0118-1
Disclaimer: Articles listed in the Public Health Knowledge Base are selected by Public Health Genomics Branch to provide current awareness of the literature and news. Inclusion in the update does not necessarily represent the views of the Centers for Disease Control and Prevention nor does it imply endorsement of the article's methods or findings. CDC and DHHS assume no responsibility for the factual accuracy of the items presented. The selection, omission, or content of items does not imply any endorsement or other position taken by CDC or DHHS. Opinion, findings and conclusions expressed by the original authors of items included in the update, or persons quoted therein, are strictly their own and are in no way meant to represent the opinion or views of CDC or DHHS. References to publications, news sources, and non-CDC Websites are provided solely for informational purposes and do not imply endorsement by CDC or DHHS.
- Page last reviewed:Feb 1, 2024
- Page last updated:Jun 15, 2024
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