The prevalence of atrial fibrillation (AF) continues to grow in an aging population, and its impact on both patients and the health care system has has made it a global burden. There are limited available options to detect individuals at risk of AF that may benefit from prevention and treatment strategies. The ECG may be an effective tool do so. In this work, we discuss the latest work by Hayiroğlu and colleagues related to this work and the use of novel ECG prediction tools to identify individuals individuals that could benefit from early and proactive screening, surveillance, and management strategies.

中文翻译：

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预测心房颤动的心电图生物信号：我们到了吗？

房颤 (AF) 的患病率在人口老龄化中持续增长，它对患者和医疗保健系统的影响已使其成为全球负担。检测可能受益于预防和治疗策略的 AF 风险个体的可用选择有限。心电图可能是这样做的有效工具。在这项工作中，我们讨论了 Hayiroğlu 及其同事与这项工作相关的最新工作，以及使用新型 ECG 预测工具来识别可以从早期和主动筛查、监测和管理策略中受益的个体。