Wang Yifeng, Li Jiangtao, Wang Haoyue, Yan Zexin, Xu Zhengyi, Li Chenjie, Zhao Zheng, Raza Syed Ali
School of Electrical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Rev Sci Instrum. 2023 Mar 1;94(3):034101. doi: 10.1063/5.0120722.
Cardiovascular disease is one of the leading threats to human lives and its fatality rate still rises gradually year by year. Driven by the development of advanced information technologies, such as big data, cloud computing, and artificial intelligence, remote/distributed cardiac healthcare is presenting a promising future. The traditional dynamic cardiac health monitoring method based on electrocardiogram (ECG) signals only has obvious deficiencies in comfortableness, informativeness, and accuracy under motion state. Therefore, a non-contact, compact, wearable, synchronous ECG and seismocardiogram (SCG) measuring system, based on a pair of capacitance coupling electrodes with ultra-high input impedance, and a high-resolution accelerometer were developed in this work, which can collect the ECG and SCG signals at the same point simultaneously through the multi-layer cloth. Meanwhile, the driven right leg electrode for ECG measurement is replaced by the AgCl fabric sewn to the outside of the cloth for realizing the total gel-free ECG measurement. Besides, synchronous ECG and SCG signals at multiple points on the chest surface were measured, and the recommended measuring points were given by their amplitude characteristics and the timing sequence correspondence analysis. Finally, the empirical mode decomposition algorithm was used to adaptively filter the motion artifacts within the ECG and SCG signals for measuring performance enhancement under motion states. The results demonstrate that the proposed non-contact, wearable cardiac health monitoring system can effectively collect ECG and SCG synchronously under various measuring situations.
心血管疾病是对人类生命的主要威胁之一，其死亡率仍逐年逐渐上升。在大数据、云计算和人工智能等先进信息技术发展的推动下，远程/分布式心脏健康监测展现出广阔的前景。传统的基于心电图（ECG）信号的动态心脏健康监测方法在运动状态下的舒适性、信息性和准确性方面存在明显不足。因此，本研究开发了一种非接触、紧凑、可穿戴的同步心电图和心震图（SCG）测量系统，该系统基于一对具有超高输入阻抗的电容耦合电极和一个高分辨率加速度计，能够通过多层布料在同一点同时采集心电图和心震图信号。同时，将用于心电图测量的驱动右腿电极替换为缝在布料外侧的氯化银织物，以实现全免凝胶心电图测量。此外，还测量了胸壁表面多个点的同步心电图和心震图信号，并通过其幅度特征和时序对应分析给出了推荐测量点。最后，采用经验模态分解算法对心电图和心震图信号中的运动伪迹进行自适应滤波，以提高运动状态下的测量性能。结果表明，所提出的非接触、可穿戴心脏健康监测系统能够在各种测量情况下有效地同步采集心电图和心震图。
