Authors:

Aruny PATHAMMAVONG 1, David R. LABBE 1, Neila MEZGHANI 2, Luc DUONG 1

1 École de Technologie Supérieure, Montréal QC, Canada;
2 Université TÉLUQ, Montréal QC, Canada

DOI:

https://doi.org/10.15221/24.22

Full paper:

PDF

Keywords:

Adolescent idiopathic scoliosis bracing, Bracing monitoring, 3D Spinal estimation, Connected garment design, Textile sensors, Stitch-based sensors

Abstract:

Adolescent idiopathic scoliosis (AIS) is characterized by a three-dimensional curvature of the spine that affects a ratio of one boy to eight girls. Frequent monitoring of AIS is crucial due to unpredictable growth spurts. For eligible patients, bracing can be considered to prevent curve progression. This study aims to provide a 3D visualization of the patient’s postural condition and bracing results, in real time. We propose a new custom designed connected garment for tracking and monitoring patient's posture. Since connected garments have proven to be a promising markerless motion capture method, a bodysuit was designed for this experiment. The simulation of the garment and fabric was created with CLO 3D 2024 simulation software. The prototype's main function is to quantify indicators of AIS deformities using stitch-based stretch sensors. The bodysuit transmits signals through a data acquisition system for precise and high-rate transmission. Simultaneously, a customized algorithm generates on a computer a 3D visualization of the posture using Processing 4 (2023). The experimental results are validated using inertial measurement units (IMU). Finally, the outcome of this research is a system for continuous monitoring of AIS, without an impact on daily life as it will have the same attributes as everyday wear.

How to Cite (MLA):

Pathammavong, Aruny et al., "Estimating Spinal Position in 3D Using a Connected Garment to Assess Bracing Fit for Adolescent Idiopathic Scoliosis", 3DBODY.TECH Journal, vol. 1, Oct. 2024, #22, https://doi.org/10.15221/24.22.

Presentation:

VIDEO availble in proceedings

Details:

Volume/Issue: 3DBODY.TECH Journal - Vol. 1, 2024
Paper: #22
Published: 2024/10/30
Presented at: 3DBODY.TECH 2024, 22-23 Oct. 2024, Lugano, Switzerland
Proceedings: 3DBODY.TECH 2024 Proceedings

License/Copyright notice

Copyright © 2024 by the author(s).
This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The papers appearing in the journal reflect the author's opinions. Their inclusion in the volumes does not necessary constitute endorsement by the editor or by the publisher.

Note: click the + on the top left of the page to open/close the menu.