Yaqi Liu, Jing Xu, Xiao Wan, Ziyuan Che, Xun Zhao, Yihao Zhou, Guorui Chen, Yifei Du, Runlin Wang, Jun Chen
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引用次数: 0
Abstract
The infant cervical spine is immature and flexible, with a relatively large head and weak neck muscles, making it the most common site for fractures. We present a kirigami-inspired soft magnetoelastic patch for continuous quantification and dynamic mapping of biomechanical pressure on the infant cervical spine, enabling early diagnosis and prevention of injury. The patch is biocompatible and waterproof, with a skin-matched Young’s modulus of 108.2 kPa and a signal-to-noise ratio of 34.05 dB. Its kirigami structure enhances permeability, stretchability, and scalability. Combined with machine-learning algorithms, the patch quantitatively measures and decodes cervical spine pressure with up to 99.2% accuracy, providing precise, reliable data for early detection and management of disorders. This innovative system offers a safer, more comfortable, real-time, and non-invasive strategy for infant cervical spine care.
期刊介绍:
Matter, a monthly journal affiliated with Cell, spans the broad field of materials science from nano to macro levels,covering fundamentals to applications. Embracing groundbreaking technologies,it includes full-length research articles,reviews, perspectives,previews, opinions, personnel stories, and general editorial content.
Matter aims to be the primary resource for researchers in academia and industry, inspiring the next generation of materials scientists.