可穿戴的织物心电传感系统在长期获取动态心电信号方面具有明显优势，已呈现出良好发展态势，但其实用化还面临应用环境的严峻挑战，许多理论和技术问题亟待解决。在日常活动场景下，可穿戴织物电极更容易松动、变形或脱落，并易受到垂直压力，从而造成更复杂的“运动伪迹”，而且运动状态下的皮肤拓扑变形与汗液对电极会产生不良影响，使电气参数恶化和不稳定，进而加大“伪迹”效应。本项目探索动态条件下织物电极与皮肤之间相互作用对运动伪迹影响，分析织物电极-皮肤表面电化学特性，并建立其等效电路模型，进而分析织物电极运动伪迹机理，提出织物心电传感的新构造与原理，拟从传感构造和相匹配的自适应滤波算法上协同抑制“运动伪迹”效应。本课题将研制三种织物抑“运动伪迹”心电传感原型，并进行综合分析与评估，力图在织物心电传感理论、方法与关键技术研究上取得突破，为实现长期、动态、非突异生理信息时空观测奠定基础。

As a good basis for the long-term measurement of electrocardiogram (ECG) on the moving body, the wearable and e-textile based ECG sensor system has been widespread concerned and shown good momentum of development. However, its practical process still faced great challenges which stem from the strict environment and numerous incomplete theories and technologies. In daily life, wearable textile electrodes are prone to be loosed, deformed, shed and vertical pressed, then generate more complicated “motion artifact” signal on the sensor system. More seriously, on moving body, the sweat and skin deformation may lead to electrical parameter deteriorating and unstable, and then increase the effects of motion artifacts. . At first, this project aims to explore the influence of motion artifacts caused by interaction between textile electrodes and skin surface in the dynamic condition, analysis electrochemistry character of textile electrodes and skin, and construct the equivalent circuital model. Then, this project will analyse the mechanism of textile electrodes motion artifacts, research the new construction methods and principles of electrocardiogram measurement based on textile. The method of cooperative suppression based on sensor structure and matchable self-adapter filter algorithm will be presented and get further study in this project. This project will develop three kinds of ECG sensor system prototypes and do comparative analysis. With these work described above, we will do our best to make some breaks in the fields of ECG sensor theories, methods and key technologies, to establish a foundation of apperceive layer for realizing long-term, dynamic, and unobtrusive ECG measurement models and methods, on the multidimensional time and space environment..