4.6 Article

Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature

Journal

SENSORS
Volume 22, Issue 19, Pages -

Publisher

MDPI
DOI: 10.3390/s22197599

Keywords

plantar pressure; plantar temperature; smart insole; bluetooth communication; remote health monitoring

Funding

  1. Qatar National Research Fund (QNRF) [NPRP12S-0227190164]
  2. International Research Collaboration Co-Fund (IRCC) [IRCC-2021-001]
  3. Universiti Kebangsaan Malaysia [GUP-2021-019, UKM-TR-011]

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An intelligent insole system is designed to monitor individuals' foot pressure and temperature in real-time. It utilizes off-the-shelf sensors to detect plantar pressure and temperature, and data can be wirelessly transmitted to a centralized device for storage. The research aims to create an affordable, practical, and portable foot monitoring system for continuous at-home monitoring of foot problems and early detection of diabetic foot complications.
An intelligent insole system may monitor the individual's foot pressure and temperature in real-time from the comfort of their home, which can help capture foot problems in their earliest stages. Constant monitoring for foot complications is essential to avoid potentially devastating outcomes from common diseases such as diabetes mellitus. Inspired by those goals, the authors of this work propose a full design for a wearable insole that can detect both plantar pressure and temperature using off-the-shelf sensors. The design provides details of specific temperature and pressure sensors, circuit configuration for characterizing the sensors, and design considerations for creating a small system with suitable electronics. The procedure also details how, using a low-power communication protocol, data about the individuals' foot pressure and temperatures may be sent wirelessly to a centralized device for storage. This research may aid in the creation of an affordable, practical, and portable foot monitoring system for patients. The solution can be used for continuous, at-home monitoring of foot problems through pressure patterns and temperature differences between the two feet. The generated maps can be used for early detection of diabetic foot complication with the help of artificial intelligence.

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