Li Ding, Cui Tian-Rui, Liu Jia-Hao, Shao Wan-Cheng, Liu Xiao, Chen Zhi-Kang, Xu Zi-Gan, Li Xin, Xu Shuo-Yan, Xie Zi-Yi, Jian Jin-Ming, Wang Xu, Tao Lu-Qi, Wu Xiao-Ming, Cheng Zhong-Wei, Dong Zi-Rui, Liu Hou-Fang, Yang Yi, Zhou Jun, Ren Tian-Ling
School of Integrated Circuit, Tsinghua University, Beijing, China.
School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China.
Nat Commun. 2025 Apr 5;16(1):3259. doi: 10.1038/s41467-025-58390-5.
Electrocardiogram (ECG) plays a vital role in the prevention, diagnosis, and prognosis of cardiovascular diseases (CVDs). However, the lack of a user-friendly and accurate long-term dynamic electrocardiogram (DCG) device in motion has made it challenging to perform many daily cardiovascular risk screenings and assessments, such as sudden cardiac arrest, resulting in additional economic burdens on society. Here, we present a motion-unrestricted dynamic electrocardiogram (MU-DCG) system, which employs skin-conformal, imperceptible electronics for long-term, comfortable, and accurate 12-lead DCG monitoring. To facilitate assembly for use on the skin, the MU-DCG system features a pressure-activated flexible skin socket for stably soft-connecting the on-skin soft module and the off-skin stiff module during dynamic movements. Crucially, blinded cardiologist evaluations confirm minimal motion artifacts in MU-DCG-acquired ECG signals. Our results demonstrate that the MU-DCG system, with large-area, ultra-thin on-skin electrodes/leads, and an off-skin module, accomplishes anti-motion interference acquisition and in-situ analysis while retaining wearing imperceptibility.
心电图(ECG)在心血管疾病(CVDs)的预防、诊断和预后中起着至关重要的作用。然而,缺乏一种在运动时用户友好且准确的长期动态心电图(DCG)设备,使得进行许多日常心血管风险筛查和评估(如心脏骤停)具有挑战性,给社会带来了额外的经济负担。在此,我们展示了一种无运动限制的动态心电图(MU-DCG)系统,该系统采用贴合皮肤、不易察觉的电子设备进行长期、舒适且准确的12导联DCG监测。为便于组装以便在皮肤上使用,MU-DCG系统具有一个压力激活的柔性皮肤插座,用于在动态运动期间稳定地软连接皮肤表面的软模块和皮肤外的硬模块。至关重要的是,盲法心脏病专家评估证实,MU-DCG采集的心电图信号中的运动伪影极小。我们的结果表明,MU-DCG系统具有大面积、超薄的皮肤表面电极/导联以及一个皮肤外模块,在保持佩戴时不易察觉的同时,实现了抗运动干扰采集和原位分析。