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Development of a Smart Leg Splint by Using New Sensor Technologies and New Therapy Possibilities.

José María De Agustín Del Burgo¹, Fernando Blaya Haro², Roberto D'Amato²

¹Campus Miguel de Unamuno, Universidad de Salamanca, 37007 Salamanca, Spain.

Sensors (Basel, Switzerland)

|August 10, 2021

Summary

This study introduces a low-cost, smart 3D printed splint with integrated sensors. This innovative device enables real-time monitoring and remote treatment adjustments for faster fracture recovery.

Keywords:

AM technique IoT customized medicine health monitoring rehabilitation therapy smart splint

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Home-Based Monitor for Gait and Activity Analysis

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

Area of Science:

Biomedical Engineering
Materials Science
Rehabilitation Technology

Background:

Traditional plaster casts for limb fractures have seen minimal innovation.
Current immobilization techniques lack real-time patient monitoring and adaptive treatment capabilities.

Purpose of the Study:

To develop a low-cost, smart 3D printed splint using advanced manufacturing techniques.
To integrate novel sensors for real-time monitoring of patient recovery.
To enable in-situ therapeutic interventions and data-driven treatment modifications.

Main Methods:

Utilized 3D scanning and 3D printing for custom splint fabrication.
Incorporated small, lightweight sensors to measure skin pressure, temperature, humidity, and color.
Developed a system for remote data transmission to mobile devices for specialist consultation.

Main Results:

Demonstrated the feasibility of a smart splint capable of real-time data collection.
Showcased the potential for integrating therapeutic modalities like infrared, ultrasound, or electroshock.
Highlighted the ability of sensors to detect changes during the rehabilitation process.

Conclusions:

The smart 3D printed splint offers a novel, patient-centric approach to fracture management.
This technology facilitates faster, easier, and more personalized rehabilitation treatments.
Integration into the Internet of Things (IoT) allows for large-scale data analysis to optimize injury treatment protocols.