撑杆
材料科学
灵活性(工程)
电极
脊柱侧凸
信号(编程语言)
生物医学工程
压力传感器
计算机科学
聚二甲基硅氧烷
灵敏度(控制系统)
纳米技术
声学
机械工程
电子工程
外科
医学
工程类
化学
物理
物理化学
统计
数学
程序设计语言
作者
Wenru Fan,Shenglong Wang,Qingyang Li,Xiarong Ren,Chengcheng Zhang,Hanyue Wang,Murong Li,Weiqing Yang,Weili Deng
出处
期刊:Small
[Wiley]
日期:2024-08-08
标识
DOI:10.1002/smll.202404136
摘要
Abstract Scoliosis often occurs in adolescents and seriously affects physical development and health. Traditionally, medical imaging is the most common means of evaluating the corrective effect of bracing during treatment. However, the imaging approach falls short in providing real‐time feedback, and the optimal corrective force remains unclear, potentially slowing the patient's recovery progress. To tackle these challenges, an all‐in‐one integrated array of pressure sensors and sEMG electrodes based on hierarchical MXene/chitosan/polydimethylsiloxane (PDMS)/polyurethane sponge and MXene/polyimide (PI) is developed. Benefiting from the microstructured electrodes and the modulus enhancement of PDMS, the sensor demonstrates a high sensitivity of 444.3 kPa −1 and a broad linear detection range (up to 81.6 kPa). With the help of electrostatic attraction of chitosan and interface locking of PDMS, the pressure sensor achieves remarkable stability of over 100 000 cycles. Simultaneously, the sEMG electrodes offer exceptional stretchability and flexibility, functioning effectively at 60% strain, which ensures precise signal capture for various human motions. After integrating the developed all‐in‐one arrays into a commercial scoliosis brace, the system can accurately categorize human motion and predict Cobb angles aided by deep learning. This study provides real‐time insights into brace effectiveness and patient progress, offering new ideas for improving the efficiency of scoliosis treatment.
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