Self-Assembled Porous-Reinforcement Microstructure-Based Flexible Triboelectric Patch for Remote Healthcare

Abstract

Realizing real-time monitoring of physiological signals is vital for preventing and treating chronic diseases in elderly individuals. However, wearable sensors with low power consumption and high sensitivity to both weak physiological signals and large mechanical stimuli remain challenges. Here, a flexible triboelectric patch (FTEP) based on porous-reinforcement microstructures for remote health monitoring has been reported. The porous-reinforcement microstructure is constructed by the self-assembly of silicone rubber adhering to the porous framework of the PU sponge. The mechanical properties of the FTEP can be regulated by the concentrations of silicone rubber dilution. For pressure sensing, its sensitivity can be effectively improved fivefold compared to the device with a solid dielectric layer, reaching 5.93 kPa−1 under a pressure range of 0–5 kPa. In addition, the FTEP has a wide detection range up to 50 kPa with a sensitivity of 0.21 kPa−1. The porous microstructure makes the FTEP ultra-sensitive to external pressure, and the reinforcements endow the device with a greater deformation limit in a wide detection range. Finally, a novel concept of the wearable Internet of Healthcare (IoH) system for real-time physiological signal monitoring has been proposed, which could provide real-time physiological information for ambulatory personalized healthcare monitoring.

Underwater Gesture Recognition Meta-Gloves for Marine Immersive Communication

“…Moreover, the sensor’s structural design is critical to improving its linearity and pressure sensing range. Previously, micropatterned , and porous − microstructures have been effectively employed to enhance the sensing performance of the tactile sensor. The interlocked structures are widely adopted in micropatterned sensors.…”

Multifunctional, Self-Adhesive MXene-Based Hydrogel Flexible Strain Sensors for Hand-Written Digit Recognition with Assistance of Deep Learning

“…The development of flexible electronics has further increased the sensitivity and sensing range of flexible sensors, which can sense external stimuli and convert external mechanical strains into visual electrical signals. − Flexible sensors are already widely used in various intelligent devices such as soft robots, electronic skins, and personalized medicine. − Materials commonly used for flexible sensors include polydimethylsiloxane, polyurethane, and hydrogels. − Compared to other materials, hydrogels have a higher water content and can mimic the stretchable, mechanical, and optical properties of natural soft tissue, making them suitable for a wider range of applications. , Therefore, it is particularly important to develop hydrogel sensors with high performance, high conductivity, and multifunctionality.…”

A 3D-printed fence-surface plasma source for skin treatment and its potential for personalized medical application

“…However, recent studies reported that the bending condition of CDBD could affect the discharge [28]. The wearable plasma source was proposed which could be used to treat the large area with irregular shapes [29][30][31]. However, the areas that do not need to be treated still should be driven by the power supply, leading to the high demand for the driven source.…”