Cardiovascular diseases (CVDs) are a group of heart and blood vessel disorders that is one of the most serious dangers to human health, and the number of such patients is still growing. Early and accurate detection plays a key role in successful treatment and intervention. Electrocardiogram (ECG) is the gold standard for identifying a variety of cardiovascular abnormalities. In clinical practices and most of the current research, standard 12-lead ECG is mainly used. However, using a lower number of leads can make ECG more prevalent as it can be conveniently recorded by portable or wearable devices. In this research, we develop a novel deep learning system to accurately identify multiple cardiovascular abnormalities by using only three ECG leads.

翻译：心血管疾病是一组心脏和血管疾病，是对人类健康最严重的威胁之一，且此类患者的数量仍在持续增长。早期且准确的检测对于成功的治疗和干预至关重要。心电图是识别多种心血管异常的金标准。在临床实践和当前大多数研究中，主要使用的是标准12导联心电图。然而，使用更少数量的导联可以使心电图检查更为普及，因为它可以通过便携式或可穿戴设备方便地记录。在本研究中，我们开发了一种新颖的深度学习系统，仅使用三个心电图导联即可准确识别多种心血管异常。