Foot-Mounted Inertial Measurement Units-Based Device for Ankle Rehabilitation

Author:

Gómez-Espinosa AlfonsoORCID,Espinosa-Castillo Nancy,Valdés-Aguirre Benjamín

Abstract

Ankle sprains are frequent injuries that occur among people of all ages. Ankle sprains constitute approximately 15% of all sports injuries, and are the most common traumatic emergencies. Without proper treatment and rehabilitation, a more severe sprain can weaken the ankle, making it more likely for new injures, and leading to long-term problems. In this work, we present an inertial measurement units (IMU)-based physical interface for measuring the foot attitude, and a graphical user interface that acts as a visual guide for patient rehabilitation. A foot-mounted physical interface for ankle rehabilitation was developed. The physical interface is connected to the computer by a Bluetooth link, and provides feedback to the patient while performing dorsiflexion, plantarflexion, eversion, and inversion exercises. The system allows for in-home rehabilitation at an affordable price while engaging the patient through active therapy. According to the results, more consistent rehabilitation could be achieved by providing feedback on foot angular position during therapy procedures.

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. IoT-Based Smart Ankle-Foot Orthosis for Patients with Gait Imbalance;2023 23rd International Conference on Control, Automation and Systems (ICCAS);2023-10-17

2. Horse gait analysis using wearable inertial sensors and machine learning;Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology;2023-09-15

3. Inertial sensors-based assessment to detect hallmarks of chronic ankle instability during single-leg standing: Is the healthy limb “healthy”?;Clinical Biomechanics;2023-07

4. Online calibrated, energy-aware and heading corrected pedestrian navigation with foot-mounted MARG sensors;Measurement;2023-01

5. Recognizing Continuous Multiple Degrees of Freedom Foot Movements With Inertial Sensors;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2022

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