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增强脊柱侧弯的矫形治疗:集成光纤光栅传感器的体压映射针织品的开发。

Enhancing Orthotic Treatment for Scoliosis: Development of Body Pressure Mapping Knitwear with Integrated FBG Sensors.

作者信息

Lee Ka-Po, Wang Zhijun, Zheng Lin, Liang Ruixin, Fok Queenie, Lu Chao, Lu Linyue, Cheung Jason Pui-Yin, Yick Kit-Lun, Yip Joanne

机构信息

School of Fashion and Textiles, The Hong Kong Polytechnic University, Hong Kong 999077, China.

Foshan Fifth People's Hospital (Foshan Rehabilitation Hospital), Foshan 528211, China.

出版信息

Sensors (Basel). 2025 Feb 20;25(5):1284. doi: 10.3390/s25051284.

DOI:10.3390/s25051284
PMID:40096079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11902499/
Abstract

Bracing is a widely used conservative treatment for adolescent idiopathic scoliosis (AIS) patients, yet there is no consensus on the optimal amount of force applied. Although a number of different sensors have been developed to continuously monitor the applied pressure and force, they have several limitations, including inadequate overall force distribution and displacement. They also cause discomfort with limited wearability. In this study, body pressure mapping knitwear (BPMK) integrated with fourteen silicone-embedded fiber Bragg grating (FBG) sensors is developed to monitor immediate and overall changes in force during the bracing treatment. A wear trial of the BPMK is conducted by using a validated soft AIS mannequin, and prediction equations have been formulated for the FBG sensors at individual locations. The findings indicate that the measured forces are in good agreement with those obtained from clinical studies, with peak forces around the padding regions reaching approximately 2N. This was further validated by using finite element (FE) models. When comparing X-ray images, the estimated differences in Cobb angles were found to be 0.6° for the thoracic region and 2.1° for the lumbar region. This model is expected to provide valuable insights into optimal force application, thus minimizing the risk of injury and enhancing bracing compliance and efficacy. Ultimately, this innovative approach provides clinicians with data-driven insights for safer and more effective bracing applications, thus improving the quality of life of AIS patients.

摘要

支具治疗是青少年特发性脊柱侧凸(AIS)患者广泛使用的保守治疗方法,但在最佳施加力的大小上尚未达成共识。尽管已经开发了许多不同的传感器来持续监测施加的压力和力,但它们存在一些局限性,包括整体力分布和位移不足。它们还会因佩戴性有限而导致不适。在本研究中,开发了一种集成了14个嵌入硅胶的光纤布拉格光栅(FBG)传感器的人体压力映射针织品(BPMK),以监测支具治疗期间力的即时和整体变化。通过使用经过验证的软质AIS人体模型对BPMK进行了佩戴试验,并为各个位置的FBG传感器制定了预测方程。研究结果表明,测量的力与临床研究获得的力高度一致,衬垫区域周围的峰值力约为2N。这通过使用有限元(FE)模型得到了进一步验证。比较X射线图像时,发现胸椎区域的Cobb角估计差异为0.6°,腰椎区域为2.1°。该模型有望为最佳力的应用提供有价值的见解,从而将受伤风险降至最低,并提高支具治疗的依从性和疗效。最终,这种创新方法为临床医生提供了数据驱动的见解,以实现更安全、更有效的支具应用,从而改善AIS患者的生活质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e4/11902499/fb12b01882e5/sensors-25-01284-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e4/11902499/d5792d3830b6/sensors-25-01284-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e4/11902499/58a9a769ee5c/sensors-25-01284-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e4/11902499/15f350b47255/sensors-25-01284-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e4/11902499/b01bf6979776/sensors-25-01284-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e4/11902499/5663652a3c57/sensors-25-01284-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e4/11902499/520835de863e/sensors-25-01284-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e4/11902499/ecd1cf7e2215/sensors-25-01284-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e4/11902499/fb12b01882e5/sensors-25-01284-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e4/11902499/d5792d3830b6/sensors-25-01284-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e4/11902499/58a9a769ee5c/sensors-25-01284-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e4/11902499/15f350b47255/sensors-25-01284-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e4/11902499/b01bf6979776/sensors-25-01284-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e4/11902499/5663652a3c57/sensors-25-01284-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e4/11902499/520835de863e/sensors-25-01284-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e4/11902499/ecd1cf7e2215/sensors-25-01284-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c2e4/11902499/fb12b01882e5/sensors-25-01284-g008.jpg

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