Choi Eun Ae, Lee Jeong Chan, Yu Mi, Kwak Hyo Sung, Shrestha Bishnu Kumar, Park Chan Hee, Kim Cheol Sang
Innovative Mechanobio Active Materials Based Medical Device Demonstration Center, Jeonbuk National University, Jeonju, Republic of Korea.
Interventional Mechano-Biotechnology Convergence Research Center, Jeonbuk National University, Jeonju, Republic of Korea.
Heliyon. 2024 Feb 10;10(5):e26307. doi: 10.1016/j.heliyon.2024.e26307. eCollection 2024 Mar 15.
Recently, with the development of non-invasive human health monitoring technology including wearable devices, a flexible sensor that monitors 'human sound and movement signals' such as human voice and muscle movement is attracting attention. In this experiment, electrospun nanofibers were mixed with highly conductive nanoparticles and coated with polyaniline to detect the patient's electrical signals. Due to the high piezoelectric effect, nanofiber-based sensors do not require charging through a separate battery, so they can be used as self-powered devices. In addition, the LCR meter test confirmed that the sensor has a high capacitance due to its high conductivity and high sensitivity to electrical signals. The sensor produced in this study can visually estimate the electrical signal of the actual human body through real-time comparison with electromyography (EMG) measuring equipment, and it was confirmed that the error is small. This sensor is expected to be widely used in the medical field, from simple sound and movement signals to disease monitoring.
最近，随着包括可穿戴设备在内的非侵入式人体健康监测技术的发展，一种能够监测诸如人类语音和肌肉运动等“人体声音和运动信号”的柔性传感器正受到关注。在本实验中，将电纺纳米纤维与高导电性纳米颗粒混合，并涂覆聚苯胺以检测患者的电信号。由于具有高压电效应，基于纳米纤维的传感器无需通过单独的电池充电，因此可作为自供电设备使用。此外，LCR 仪表测试证实，该传感器因其高导电性和对电信号的高灵敏度而具有高电容。本研究中生产的传感器可通过与肌电图（EMG）测量设备进行实时比较，直观地估计实际人体的电信号，并且证实误差很小。预计这种传感器将在医学领域得到广泛应用，从简单的声音和运动信号监测到疾病监测。
