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

Preeti Singh, A. Shrivastava
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引用次数: 8

Abstract

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.
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
骨质疏松症是人类的一种疾病,它会降低骨密度。骨骼的微结构随着骨骼中各种蛋白质的变化而恶化。因此,定量评估人类骨骼的强度,考虑其结构特性和老化、疾病和治疗导致的退化,成为生物工程研究的一个组成部分。本文提出了一种利用微弯曲技术测量骨强度的光纤生物传感器模型。同时,利用MATLAB开发了一个基于人工神经网络(ANN)的试验台,对矫形应用中fob应变测量进行了优化。给定模型的性能准确性似乎是相当可观的,以确保检测骨质疏松症的发作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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