Recently, a research paper authored by Professor Qiu-lin Tan's team from the School of Instrumentation and Electronics at North University was selected as the cover article for the 13th issue of Nanoscale in 2024. The first author of the paper is Zhao Qiang, a master's student in the field of Instrumentation Science and Technology, enrolled in 2021. The study reports on a high-performance flexible pressure sensor based on MXene/carbon nanotube composite materials, capable of real-time online monitoring of human biomechanical signals. The sensor is integrated with a wireless transmission system and machine learning algorithms to achieve high-precision gesture tracking and recognition.
Image Source: Nanoscale
With the rapid development of technologies such as the Internet of Things, artificial intelligence, nanotechnology, and semiconductor technology, the intersection and integration of various technologies have become an important trend in current scientific research. Among them, flexible sensors play a crucial role in wearable electronic devices, widely used in healthcare, sports monitoring, human-computer interaction, and other fields. These sensors exhibit high flexibility and conformability to curved surfaces, enabling real-time online monitoring of various physiological parameters, which is of great significance for safeguarding human health and well-being.
This study focuses on the comprehensive monitoring of human physiological signals. By employing highly conductive nanomaterials such as MXene and carbon nanotubes, the researchers designed and fabricated flexible capacitive pressure sensors with micro wrinkled electrode structures. These sensors not only achieve precise monitoring of weak pressure signals but also exhibit rapid response to large pressures and bending stresses. Consequently, they enable comprehensive monitoring of weak physiological signals, human motion, and plantar pressure, coupled with artificial intelligence algorithms to enhance measurement accuracy. This achievement demonstrates significant potential applications in various fields including medical healthcare, sports monitoring, and human-computer interaction.
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