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Motion-unrestricted dynamic electrocardiogram system utilizing imperceptible electronics

Ding Li, Tianrui Cui, Jiahao Liu, Wancheng Shao, Xiao Liu, Zhikang Chen, Zigan Xu, Xin Li, Shuwei Xu, Ziyi Xie, Jinming Jian, Xu Wang, Lu‐Qi Tao, Xiaoming Wu, Zhongwei Cheng, Zirui Dong, Houfang Liu, Yi Yang, Jun Zhou, Tian‐Ling Ren

2025Nature Communications22 citationsDOIOpen Access PDF

Abstract

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. Electrocardiogram is crucial for cardiovascular disease prevention, diagnosis, and prognosis. Here, the authors present a motion-unrestricted dynamic electrocardiogram system utilizing skin-conformal, imperceptible electronics for long-term, comfortable, and accurate 12-lead monitoring.

Topics & Concepts

Motion (physics)Computer scienceElectronicsArtificial intelligenceElectrical engineeringEngineeringEEG and Brain-Computer InterfacesECG Monitoring and AnalysisNon-Invasive Vital Sign Monitoring