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Optical Biosensor Based on Microbendings Technique: An Optimized Mean to Measure the Bone Strength

机译:基于微弯曲技术的光学生物传感器:一种测量骨强度的优化方法

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摘要

Osteoporosis, a disease in humans, reduces bone mineral density. The microarchitecture of the bone gets deteriorated with change in variety of proteins in the bone. Therefore, a quantitative assessment of the strength of human bone, considering its structural properties and degradation due to aging, disease, and therapeutic treatment, becomes an integral part of the bioengineering studies. This paper presents a model of fiber optic biosensors (FOBs) which utilizes microbending technique to measure the strength of the bone. In parallel, an artificial neural network (ANN) based test bench has been developed for the optimization of FOBs strain measurement in orthoapplications using MATLAB. The performance accuracy of the given model appears to be considerable in ensuring the detection of the onset of osteoporosis.
机译:骨质疏松症是一种人类疾病,可降低骨矿物质密度。骨骼的微结构随着骨骼中各种蛋白质的变化而恶化。因此,考虑到骨骼的结构特性以及由于老化,疾病和治疗而引起的退化,对骨骼强度进行定量评估已成为生物工程研究不可或缺的一部分。本文提出了一种利用微弯曲技术来测量骨骼强度的光纤生物传感器(FOB)模型。同时,已经开发了基于人工神经网络(ANN)的测试平台,用于使用MATLAB在常规应用中优化FOB应变测量。给定模型的性能准确性似乎在确保检测骨质疏松症发作方面相当可观。

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