AI-Assisted Disease Monitoring Using Stretchable Polymer-Based Sensors

Abstract

Flexible sensors have attracted significant attention for medical applications. Herein, an AI-assisted stretchable polymer-based (AISP) sensor has been developed based on the Beer–Lambert law for disease monitoring and telenursing. Benefiting from the use of superior polymer materials, the AISP sensor features a high tensile strain of up to 100%, durability of >10,000 tests, excellent waterproofness, and no effect of temperature (1.6–60.9 °C). Such advantages support the capability that the AISP can be flexibly pasted on the skin surface as a wearable device for real-time monitoring of multiple physiological parameters. An AISP sensor-based swallowing recognition technique has been proposed with a high accuracy of up to 88.89%. Likewise, it has been expanded to a remote nursing assistance system to meet critical patients’ physiological requirements and daily care. The hands-free communication experiment and robot control applications have also been successfully conducted based on the constructed system. Such merits demonstrate its potential as a medical toolkit and indicate promise for intelligent healthcare.

Optical Microfiber Intelligent Sensor: Wearable Cardiorespiratory and Behavior Monitoring with a Flexible Wave-Shaped Polymer Optical Microfiber

“…In addition, artificial intelligence (AI) technology is widely used in many fields due to its advantages of high efficiency and intelligent computation. Many wearable optical devices also use AI to improve sensor perception performance and human–computer interaction capabilities. − Using AI, accurate analysis of the signal of the optical sensor can be realized to realize the simultaneous and fast online analysis of the wearable sensor data results. AI can provide disease diagnosis results or remote real-time physiological state monitoring.…”

Highly sensitive strain sensors based on dispensing technology for human–machine interaction

“…It occupies an extremely important position in the field of intelligent perception, humanmachine interaction, gesture recognition, medical health, electronic skin, and other sensing applications [1][2][3][4][5]. At present, the preparation process of resistive flexible strain sensors with high sensitivity, repeatable tensile stability, and good flexibility is still very complicated, which seriously limits its mass production capacity and often has high production costs [6][7][8]. Therefore, it is still a big challenge to obtain a strain sensor that is simple to prepare, low cost, high sensitivity, and high stability.…”

Incorporating Machine Learning Strategies to Smart Gloves Enabled by Dual-Network Hydrogels for Multitask Control and User Identification

“…Sensors assembled with an ionic hydrogel, an emerging material, can realize rapid real-time monitoring of external stimuli, which is expected to solve this problem. − In addition, by combining with artificial intelligence technology, the gloves can not only have simple control functions but also be more intelligent so as to realize complex functions such as sign language translation. − For example, the smart gloves developed by SONG et al using e-skin designed from a new organohydrogel material, PBAPE, realized high-accuracy recognition and translation of gestures and gesture language . At present, with the advent of the era of big data, humans pay more attention to data privacy protection.…”