Estimating Spinal Position in 3D Using a Connected Garment to Assess Bracing Fit for Adolescent Idiopathic Scoliosis [r-libre/3445]

Pathammavong, Aruny; Labbé, David R.; Mezghani, Neila, & Duong, Luc (2024). Estimating Spinal Position in 3D Using a Connected Garment to Assess Bracing Fit for Adolescent Idiopathic Scoliosis. Paper published in 3DBODY.TECH Journal, 1. https://doi.org/10.15221/24.22

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Item Type:	Papers in Conference Proceedings
Refereed:	Yes
Status:	Published
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.
Official URL:	https://jrnl.3dbody.tech/papers/2024/2422pathammav...
Depositor:	Ayena, Johannes
Owner / Manager:	Johannes Ayena
Deposited:	08 Nov 2024 18:28
Last Modified:	08 Nov 2024 18:28

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