可穿戴计算机
生物信号
可靠性(半导体)
持续监测
信号(编程语言)
数据采集
可穿戴技术
计算机科学
嵌入式系统
工程类
无线
电信
物理
功率(物理)
操作系统
程序设计语言
量子力学
运营管理
作者
Deyao Shen,Jianping Wang,Vladan Končar,Krittika Goyal,Xuyuan Tao
出处
期刊:Sensors
[Multidisciplinary Digital Publishing Institute]
日期:2024-06-25
卷期号:24 (13): 4114-4114
被引量:2
摘要
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.
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