Truong TranThuyNga, Kim Jooyong
Department of Smart Wearables Engineering, Soongsil University, Seoul 156-743, Republic of Korea.
Department of Materials Science and Engineering, Soongsil University, Seoul 156-743, Republic of Korea.
Polymers (Basel). 2024 Jan 29;16(3):373. doi: 10.3390/polym16030373.
Flexible wearable sensors are integral in diverse applications, particularly in healthcare and human-computer interaction systems. This paper introduces a resistive stretch sensor crafted from shape memory polymers (SMP) blended with carbon nanotubes (CNTs) and coated with silver paste. Initially, the sensor's characteristics underwent evaluation using a Universal Testing Machine (UTM) and an LCR meter. These sensors showcased exceptional sensitivity, boasting a gauge factor of up to 20 at 5% strain, making them adept at detecting subtle movements or stimuli. Subsequently, the study conducted a comparison between SMP-CNT conductors with and without the silver coating layer. The durability of the sensors was validated through 1000 cycles of stretching at 4% ∆R/. Lastly, the sensors were utilized for monitoring respiration and measuring human breathing. Fourier transform and power spectrum density (PSD) analysis were employed to discern frequency components. Positioned between the chest and abdominal wall for contact-based respiration monitoring, the sensors revealed a dominant frequency of approximately 0.35 Hz. Signal filtering further enhanced their ability to capture respiration signals, establishing them as valuable tools for next-generation personalized healthcare applications.
柔性可穿戴传感器在各种应用中不可或缺,尤其是在医疗保健和人机交互系统中。本文介绍了一种电阻式拉伸传感器,它由与碳纳米管(CNT)混合并涂有银浆的形状记忆聚合物(SMP)制成。最初,使用万能试验机(UTM)和LCR仪表对传感器的特性进行了评估。这些传感器表现出卓越的灵敏度,在5%应变下的应变系数高达20,使其能够检测到细微的运动或刺激。随后,该研究对有无银涂层的SMP-CNT导体进行了比较。通过在4%∆R/下进行1000次拉伸循环,验证了传感器的耐久性。最后,这些传感器被用于监测呼吸和测量人体呼吸。采用傅里叶变换和功率谱密度(PSD)分析来识别频率成分。将传感器放置在胸部和腹壁之间进行基于接触的呼吸监测,结果显示其主导频率约为0.35Hz。信号滤波进一步增强了它们捕捉呼吸信号的能力,使其成为下一代个性化医疗保健应用的有价值工具。