Developing a Multifunctional Heating Pad Based on Fuzzy-Edge Computations and IoMT Approach

Abstract

Many medical assistive devices, such as rehabilitation and heating pads, have developed toward AI IoT functions during the past decade. Heating pads can be used for rehabilitation or to relieve pain while patients use them to relax muscles and enhance blood circulation; however, this assistive device is single-functional. Additionally, older adults usually lack information adaptability in using multifunctional heating pads, and the heating sensors of the pads need to have high stability and low value of temperature error to avoid unstable measurement and unexpected results.
This article proposes a multifunctional heating pad system by fuzzy-edge computations, primarily setting the functions by IoT development board and Bluetooth and the temperature ranges by fuzzy edge technique; users can adjust heating modes based on their needs. Our research team designed the heating sensor in the system to achieve high stability and durability; the IoT development board can calibrate the temperature by digital voltages, which enables the sensor to achieve expected temperatures. The IoT development board and fuzzy-edge technology employed in the system can self-calibrate and maintain the temperature ranges without needing a server to calculate, reaching the goal of edge computations. The experimental result has proved the feasibility of the system.