Smart soft scoliosis brace: Integrated textile sensors for real-time pressure monitoring

Adolescent idiopathic scoliosis (AIS) often requires bracing, but rigid designs can limit comfort and compliance. This study develops a soft scoliosis brace that integrates textile-based pressure sensors and a quantitative adjustment system to maintain consistent compressive forces. We hypothesize that our soft brace can achieve Cobb angle changes beyond the measurement error threshold, provide reliable pressure monitoring while maintaining flexibility, and provide force levels comparable to existing braces. We designed and fabricated a modular soft brace consisting of pelvic, lumbar, and thoracic bands, integrated textile-based piezoresistive sensors, and pressure-adjustable dials. Nine AIS subjects (10–17 years old, Cobb angles 20°–45°) wore the brace for one hour, and radiographs were taken before and after wear. Eight subjects demonstrated Cobb angle reductions of greater than 3°, with a median correction rate of 16.1% (range 6.8%–48.7%). Subjects reported improved motion and reduced self-consciousness compared to rigid braces. Integrated pressure sensors showed stable baseline resistance, repeatable measurements, and pressure distributions comparable to existing braces. Although immediate correction rates were lower than those achieved with rigid braces, the soft brace design improved comfort and compliance characteristics. Future research should examine long-term outcomes, personalize compression patterns, and incorporate wireless data transmission to optimize AIS treatment strategies.

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Publication Details

Journal
Textile Research Journal
Published
2025-04-29
DOI
https://doi.org/10.1177/00405175251325889
Primary Topic
Scoliosis diagnosis and treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Smart soft scoliosis brace: Integrated textile sensors for real-time pressure monitoring

Jae Hoon Ko, Seungju Lim, Seong Jin Jang, Hae Won Choi et al.
1 links
Textile Research Journal
Scoliosis diagnosis and treatment
article

Smart soft scoliosis brace: Integrated textile sensors for real-time pressure monitoring

Jae Hoon Ko, Seungju Lim, Seong Jin Jang, Hae Won Choi, Su-Jin Ryu, Minsuk Kim
article en

Abstract

Adolescent idiopathic scoliosis (AIS) often requires bracing, but rigid designs can limit comfort and compliance. This study develops a soft scoliosis brace that integrates textile-based pressure sensors and a quantitative adjustment system to maintain consistent compressive forces. We hypothesize that our soft brace can achieve Cobb angle changes beyond the measurement error threshold, provide reliable pressure monitoring while maintaining flexibility, and provide force levels comparable to existing braces. We designed and fabricated a modular soft brace consisting of pelvic, lumbar, and thoracic bands, integrated textile-based piezoresistive sensors, and pressure-adjustable dials. Nine AIS subjects (10–17 years old, Cobb angles 20°–45°) wore the brace for one hour, and radiographs were taken before and after wear. Eight subjects demonstrated Cobb angle reductions of greater than 3°, with a median correction rate of 16.1% (range 6.8%–48.7%). Subjects reported improved motion and reduced self-consciousness compared to rigid braces. Integrated pressure sensors showed stable baseline resistance, repeatable measurements, and pressure distributions comparable to existing braces. Although immediate correction rates were lower than those achieved with rigid braces, the soft brace design improved comfort and compliance characteristics. Future research should examine long-term outcomes, personalize compression patterns, and incorporate wireless data transmission to optimize AIS treatment strategies.

Textile Research JournalVol. 96(3-4)
Korea Institute of Industrial Technology (KR)
Korea Institute of Industrial Technology, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 84%
Scoliosis diagnosis and treatment
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Smart soft scoliosis brace: Integrated textile sensors for real-time pressure monitoring — Jae Hoon Ko, Seungju Lim, et al. · Textile Research Journal (2025) | TGRS Research Map | TGRS