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http://hdl.handle.net/10603/237222
Title: | Optimization of Fiber Optic Biosensor for Strain Measurement in Ortho Applications Using Artificial Neural Networks |
Researcher: | Preeti |
Guide(s): | Shrivastava Abhishek, Rai H. M. |
Keywords: | Engineering and Technology,Engineering,Engineering Electrical and Electronic, biosensor, bones, mean square error, microbend, layer, strain, Artificial Neural Network, Epochs, Osteoporosis |
University: | Nims University Rajasthan |
Completed Date: | 2013 |
Abstract: | newline A biosensor is a device for the detection of an analyte that combines a biological newlinecomponent with a physicochemical detector component. Biosensors are classified newlinedepending upon different criteria like bioreceptors, transducers and different types of newlinephysical and chemical interaction. The importance of bone quality has long been newlinerecognized by orthopedic clinicians and radiographers to account for damage newlineaccumulation and predict susceptibility to fractures. With the recent development of newlinebiosensors it is now possible to monitor the strain on the bones. Osteoporosis is a disease newlineof bones that leads to an increased risk of fracture that is affecting a large population in newlineIndia. In osteoporosis, the bone mineral density (BMD) is reduced, bone newlinemicroarchitecture is deteriorating, and the amount and variety of proteins in bone is newlinealtered. The photometric sensors have the advantage of being chemically inert and do not newlinecause thrombosis. Moreover, these are light flexible and EMI/RFI immune. Microbend newlineSensors are based on microbend induced excess transmission loss of an optical fiber to newlinedetect/measure displacement, pressure, strain, temperature etc. If a portion of fiber is newlinedeformed, the fiber would exhibit excess light loss. Such perturbation of fiber axis results newlinein redistribution of guided power between modes of the fiber and also coupling of the newlinefiber from one mode/mode group to another. Artificial neural networks are viewed here newlineas parallel computational models, with varying degrees of complexity, comprised of newlinedensely interconnected adaptive processing units. All the existing techniques for newlinebiosensing have used electrochemical type of biosensors and so far not much work has newlinebeen done using photometric biosensors. No one has so far worked in the area optimizing newlinethe fiber-optic biosensor for strain measurement in ortho applications using ANN. Thus newlinethere is a need for carrying out investigations in the field of optimization of fiber-optic newlinebiosensor for strain measurement in ortho applications using ANN. The |
Pagination: | 1-23, 1-172 |
URI: | http://hdl.handle.net/10603/237222 |
Appears in Departments: | Department of Electronics and Communication Engineering |
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