npj Digital Medicine ( IF 12.4 ) Pub Date : 2024-08-01 , DOI: 10.1038/s41746-024-01193-7 Federico Mason 1, 2 , Amitabh C Pandey 1, 3, 4 , Matteo Gadaleta 1 , Eric J Topol 1, 3 , Evan D Muse 1, 3 , Giorgio Quer 1
The 12-lead electrocardiogram (ECG) is an integral component to the diagnosis of a multitude of cardiovascular conditions. It is performed using a complex set of skin surface electrodes, limiting its use outside traditional clinical settings. We developed an artificial intelligence algorithm, trained over 600,000 clinically acquired ECGs, to explore whether fewer leads as input are sufficient to reconstruct a 12-lead ECG. Two limb leads (I and II) and one precordial lead (V3) were required to generate a reconstructed 12-lead ECG highly correlated with the original ECG. An automatic algorithm for detection of ECG features consistent with acute myocardial infarction (MI) performed similarly for original and reconstructed ECGs (AUC = 0.95). When interpreted by cardiologists, reconstructed ECGs achieved an accuracy of 81.4 ± 5.0% in identifying ECG features of ST-segment elevation MI, comparable with the original 12-lead ECGs (accuracy 84.6 ± 4.6%). These results will impact development efforts to innovate ECG acquisition methods with simplified tools in non-specialized settings.
中文翻译:
通过 3 导联人工智能增强重建 12 导联心电图,并进行准确的临床评估
12 导联心电图 (ECG) 是诊断多种心血管疾病的重要组成部分。它使用一组复杂的皮肤表面电极进行,限制了其在传统临床环境之外的使用。我们开发了一种人工智能算法,对超过 600,000 个临床采集的心电图进行了训练,以探索更少的导联输入是否足以重建 12 导联心电图。需要两个肢体导联(I 和 II)和一个心前导联(V3)来生成与原始心电图高度相关的重建 12 导联心电图。用于检测与急性心肌梗死 (MI) 一致的心电图特征的自动算法对于原始心电图和重建心电图表现相似 (AUC = 0.95)。当由心脏病专家解释时,重建的心电图在识别 ST 段抬高 MI 的心电图特征方面达到了 81.4 ± 5.0% 的准确度,与原始 12 导联心电图(准确度 84.6 ± 4.6%)相当。这些结果将影响在非专业环境中使用简化工具创新心电图采集方法的开发工作。