Zhuo Erhan, Wang Ziwen, Chen Xiaochen, Zou Junhao, Fang Yuan, Zhuo Jiekai, Li Yicheng, Zhang Jun, Gong Zidan
Sino-German College of Intelligent Manufacturing, Shenzhen Technology University, Shenzhen 518118, China.
Laboratory for Artificial Intelligence in Design, School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong 999077, China.
Polymers (Basel). 2023 Jul 3;15(13):2934. doi: 10.3390/polym15132934.
Wearable electronic sensors have attracted considerable interest in hand motion monitoring because of their small size, flexibility, and biocompatibility. However, the range of motion and sensitivity of many sensors are inadequate for complex and precise finger motion capture. Here, organic and inorganic materials were incorporated to fabricate a hybrid electronic sensor and optimized and woven into fabric for hand motion detection. The sensor was made from flexible porous polydimethylsiloxane (PDMS) filled with multiwalled carbon nanotubes (MWCNTs). The weight ratios of MWCNTs and geometric characteristics were optimized to improve the hybrid electronic sensor, which showed a high elongation at the breaking point (i.e., more than 100%) and a good sensitivity of 1.44. The strain-related deformation of the PDMS/MWCNT composite network resulted in a variation in the sensor resistance; thus, the strain level that corresponds to different finger motions is be calculated. Finally, the fabricated and optimized electronic sensor in filiform structure with a 6% MWCNT ratio was integrated with smart fabric to create a finger sleeve for real-time motion capture. In conclusion, a novel hybrid E-fiber sensor based on PDMS and MWCNTs was successfully fabricated in the current study with an optimal M/P ratio and structure, and textile techniques were adopted as new packaging approaches for such soft electronic sensors to create smart fabric for wearable and precise detection with highly enhanced sensing performance. The successful results in the current study demonstrate the great potential of such hybrid soft sensors in smart wearable healthcare management, including motion detection.
可穿戴电子传感器因其尺寸小、柔韧性好和生物相容性而在手部运动监测方面引起了广泛关注。然而,许多传感器的运动范围和灵敏度不足以进行复杂而精确的手指运动捕捉。在此,将有机和无机材料结合起来制造一种混合电子传感器,并对其进行优化,然后编织成织物用于手部运动检测。该传感器由填充有多壁碳纳米管(MWCNT)的柔性多孔聚二甲基硅氧烷(PDMS)制成。对MWCNT的重量比和几何特征进行了优化,以改进混合电子传感器,该传感器在断裂点处具有较高的伸长率(即超过100%)和1.44的良好灵敏度。PDMS/MWCNT复合网络的应变相关变形导致传感器电阻发生变化;因此,可以计算出对应于不同手指运动的应变水平。最后,将制造并优化的丝状结构且MWCNT比例为6%的电子传感器与智能织物集成,制成用于实时运动捕捉的手指套。总之,在本研究中成功制造了一种基于PDMS和MWCNT的新型混合电子纤维传感器,其具有最佳的M/P比和结构,并采用纺织技术作为此类柔性电子传感器的新封装方法,以制造具有高度增强传感性能的可穿戴且精确检测的智能织物。本研究中的成功结果证明了这种混合柔性传感器在包括运动检测在内的智能可穿戴医疗管理中的巨大潜力。