College of Fashion and Design, Donghua University, Shanghai 200051, China.
École Nationale Supérieure des Arts et Industries Textiles-ENSAIT, ULR 2461-GEMTEX-Génie et Matériaux Textiles, University of Lille, F-59000 Lille, France.
Sensors (Basel). 2024 Jun 25;24(13):4114. doi: 10.3390/s24134114.
This study presents the development and evaluation of an innovative intelligent garment system, incorporating 3D knitted silver biopotential electrodes, designed for long-term sports monitoring. By integrating advanced textile engineering with wearable monitoring technologies, we introduce a novel approach to real-time physiological signal acquisition, focusing on enhancing athletic performance analysis and fatigue detection. Utilizing low-resistance silver fibers, our electrodes demonstrate significantly reduced skin-to-electrode impedance, facilitating improved signal quality and reliability, especially during physical activities. The garment system, embedded with these electrodes, offers a non-invasive, comfortable solution for continuous ECG and EMG monitoring, addressing the limitations of traditional Ag/AgCl electrodes, such as skin irritation and signal degradation over time. Through various experimentation, including impedance measurements and biosignal acquisition during cycling activities, we validate the system's effectiveness in capturing high-quality physiological data. Our findings illustrate the electrodes' superior performance in both dry and wet conditions. This study not only advances the field of intelligent garments and biopotential monitoring, but also provides valuable insights for the application of intelligent sports wearables in the future.
本研究提出了一种创新的智能服装系统的开发和评估,该系统结合了 3D 针织银生物电位电极,旨在进行长期运动监测。通过将先进的纺织工程与可穿戴监测技术相结合,我们引入了一种实时生理信号采集的新方法,重点是增强运动表现分析和疲劳检测。利用低电阻银纤维,我们的电极显著降低了皮肤与电极之间的阻抗,有助于提高信号质量和可靠性,特别是在身体活动期间。该服装系统嵌入这些电极,为连续 ECG 和 EMG 监测提供了一种非侵入性、舒适的解决方案,解决了传统 Ag/AgCl 电极的局限性,如皮肤刺激和随时间推移信号降级。通过包括在骑自行车活动期间的阻抗测量和生物信号采集在内的各种实验,我们验证了系统在捕获高质量生理数据方面的有效性。我们的研究结果表明,这些电极在干燥和湿润条件下均具有优越的性能。本研究不仅推进了智能服装和生物电位监测领域的发展,还为未来智能运动服装在应用方面提供了有价值的见解。