Estimating Spinal Position in 3D Using a Connected Garment to Assess Bracing Fit for Adolescent Idiopathic Scoliosis – 2024

Adolescent idiopathic scoliosis (AIS) is characterized by a three-dimensional curvature of the spine, affecting one boy for every eight girls. Frequent monitoring of AIS is crucial due to unpredictable growth spurts. For eligible patients, wearing a brace may be considered to prevent curve progression. This study aims to provide real-time 3D visualization of the patient’s postural condition and the results of bracing. We propose a new custom-designed connected garment to track and monitor patients’ posture. As connected garments have already proven effective as a markerless motion capture method, a bodysuit was specifically designed for this experiment. The garment and fabric simulation was created using CLO 3D 2024 software. The primary function of the prototype is to quantify AIS deformity indicators using stretch sensors integrated into the seams. The bodysuit transmits signals via a data acquisition system for precise, high-speed transmission. Simultaneously, a customized algorithm generates a 3D visualization of the posture on a computer using Processing 4 (2023). The experimental results are validated using inertial measurement units (IMUs). Finally, this research provides a continuous monitoring system for AIS that has no impact on daily life, offering the same attributes as everyday clothing.

For more information about this research, read the full article in the Journal of 3D Body Scanning Technologies.