A hemispherical latitude-gradient sensor for closed-loop monitoring and management of scoliosis correction.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 42536739.
- Also identified by DOI 10.1126/sciadv.aeh1421 and PMC identifier 13426408.
- Licence recorded as CC BY-NC.
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Abstract
Conservative treatment of scoliosis relies on physiotherapy and bracing, yet both approaches lack tools for quantitative, real-time monitoring of corrective forces. Here, we introduce a hemispherical latitude-gradient (HS-LG) sensor as a previously unknown sensing paradigm for soft, curved-body interfaces, using scoliosis as a clinical exemplar. Leveraging a nonzero Gaussian curvature ([Formula: see text]) geometry, the device acts as a spatiotemporal mechanical filter, converting normal pressure into in-plane tensile forces to overcome shear and stress artifacts limiting conventional sensors. Integrated into a wireless platform, the HS-LG sensor enables immediate visualization of spatiotemporal pressure dynamics during therapy. In physiotherapy, bilateral deployment established the first quantitative, closed-loop Schroth regimen. Real-time visual feedback amplified targeted asymmetric breathing by ∼40% and decoupled nontargeted regional effort, transforming subjective instruction into data-driven neuromuscular internalization. In bracing, embedded sensors mapped pressures during daily activities, uncovering highly dynamic, posture-specific force redistributions, including transient pressure gradient reversals during ambulation, that challenge conventional static orthotic paradigms. Furthermore, age ([Formula: see text]) and body mass index (BMI; [Formula: see text]) emerged as strong predictors of daily wear compliance in the lumbar cohort, while BMI consistently drove interfacial mechanical loading across both spinal regions (lumbar [Formula: see text]; thoracic [Formula: see text]). Together, these results establish the HS-LG sensor design as a versatile, patient-ready platform that links geometry-driven sensing design to personalized, data-informed scoliosis management, while broadly advancing the development of wearable mechanosensing technologies for soft, curved biological surfaces.
Medical subject headings
- Scoliosis