Vu Chi Cuong, Kim Jooyong, Nguyen Thanh-Hai
Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology and Education, 01 Vo Van Ngan Street, Linh Chieu Ward, Ho Chi Minh City 700000, Vietnam.
Department of Materials Science and Engineering, Soongsil University, Seoul 156-743, Republic of Korea.
Micromachines (Basel). 2023 Sep 1;14(9):1726. doi: 10.3390/mi14091726.
Sensor technologies have been core features for various wearable electronic products for decades. Their functions are expected to continue to play an essential role in future generations of wearable products. For example, trends in industrial, military, and security applications include smartwatches used for monitoring medical indicators, hearing devices with integrated sensor options, and electronic skins. However, many studies have focused on a specific area of the system, such as manufacturing processes, data analysis, or actual testing. This has led to challenges regarding the reliability, accuracy, or connectivity of components in the same wearable system. There is an urgent need for studies that consider the whole system to maximize the efficiency of soft sensors. This study proposes a method to fabricate a resistive pressure sensor with high sensitivity, resilience, and good strain tolerance for recognizing human motion or body signals. Herein, the sensor electrodes are shaped on a thin Pyralux film. A layer of microfiber polyesters, coated with carbon nanotubes, is used as the bearing and pressure sensing layer. Our sensor shows superior capabilities in respiratory monitoring. More specifically, the sensor can work in high-humidity environments, even when immersed in water-this is always a big challenge for conventional sensors. In addition, the embedded random forest model, built for the application to recognize restoration signals with high accuracy (up to 92%), helps to provide a better overview when placing flexible sensors in a practical system.
几十年来，传感器技术一直是各类可穿戴电子产品的核心特性。预计它们的功能将在下一代可穿戴产品中继续发挥至关重要的作用。例如，工业、军事和安全应用的发展趋势包括用于监测医疗指标的智能手表、带有集成传感器选项的听力设备以及电子皮肤。然而，许多研究都集中在系统的特定领域，如制造工艺、数据分析或实际测试。这就导致了同一可穿戴系统中组件在可靠性、准确性或连接性方面的挑战。迫切需要开展考虑整个系统的研究，以最大限度地提高软传感器的效率。本研究提出了一种制造具有高灵敏度、弹性和良好应变耐受性的电阻式压力传感器的方法，用于识别人体运动或身体信号。在此，传感器电极成型于一层薄的派拉克斯薄膜上。一层涂覆有碳纳米管的超细纤维聚酯用作承载和压力传感层。我们的传感器在呼吸监测方面表现出卓越的能力。更具体地说，该传感器能够在高湿度环境下工作，甚至可以浸入水中——这对传统传感器来说始终是一个巨大的挑战。此外，为高精度（高达92%）识别恢复信号的应用而构建的嵌入式随机森林模型，有助于在将柔性传感器置于实际系统中时提供更好的总体情况。
