用于运动生理学和临床孕产妇健康监测的 3D 电子织物

Junyi Zhao, Chansoo Kim, Weilun Li, Zichao Wen, Zhili Xiao, Yong Wang, Shantanu Chakrabartty, Chuan Wang
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引用次数: 0

摘要

电子纺织品(E-textiles)具有极佳的穿着舒适性和不显眼性,因此有望成为下一代健康监测可穿戴设备。然而,信号质量差、运动伪影大、长期使用的耐用性以及不理想的用户体验等挑战阻碍了其实际应用。在这里,我们报告了一种具有成本效益的电子织物系统,它采用基于三维微纤维的电极,大大增加了表面积。柔软蓬松的导电微纤维可自由分散并牢固地附着在皮肤上,即使在没有凝胶的情况下,电极-皮肤界面也能达到较低的阻抗。超疏水性氟化自组装单层沉积在导电织物表面,使其在防水的同时保持导电性。E-textile 系统配备了定制设计的运动伪影消除无线数据记录电路,可集成到各种智能服装中,用于运动生理和健康监测应用。在剧烈的骑车甚至水下游泳活动中,成功进行了实时多模态电生理信号监测,包括心电图(ECG)和肌电图(EMG)。
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3D E-textile for Exercise Physiology and Clinical Maternal Health Monitoring
Electronic textiles (E-textiles) offer great wearing comfort and unobtrusiveness, thus holding potential for next-generation health monitoring wearables. However, the practical implementation is hampered by challenges associated with poor signal quality, substantial motion artifacts, durability for long-term usage, and non-ideal user experience. Here, we report a cost-effective E-textile system that features 3D microfiber-based electrodes for greatly increasing the surface area. The soft and fluffy conductive microfibers disperse freely and securely adhere to the skin, achieving a low impedance at the electrode-skin interface even in the absence of gel. A superhydrophobic fluorinated self-assembled monolayer was deposited on the E-textile surface to render it waterproof while retaining the electrical conductivity. Equipped with a custom-designed motion-artifact canceling wireless data recording circuit, the E-textile system could be integrated into a variety of smart garments for exercise physiology and health monitoring applications. Real-time multimodal electrophysiological signal monitoring, including electrocardiogram (ECG) and electromyography (EMG), was successfully carried out during strenuous cycling and even underwater swimming activities. Furthermore, a multi-channel E-textile was developed and implemented in clinical patient studies for simultaneous real-time monitoring of maternal ECG and uterine EMG signals, incorporating spatial-temporal potential mapping capabilities.
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