Simulation and Modeling of Fiber Bragg Grating Sensors

As a latest trend in last decade Fiber Bragg grating (FBG) attracted technical community for optical sensing in varied applications like Internet of things, Biomedical monitoring, recondition/reconstruction engineering among sport/accidental injuries, sensor data fusion, data analytics for their attractive properties like compact size/weight,biocompatibility, in vivo monitoring,high resistance to external environment factors like electromagnetic noises and finally simultaneous monitoring at multiple points of application of interest due to multiplexing ability in optical domain. FBG-based sensors have been implanted successfully and found feasible for sensing applications in automotive, aeronautic, naval, structure monitoring and undersea oil exploration from past couple of decades. Their use in IOT, Biomedical monitoring and rehabilitation engineering are of latest trend. In this work theoretical modeling of FBG sensors working is initially discussed to list out modeling parameters deployed in simulation. Practically reflection spectrum will have to be acquired by optical spectrum analyzer which costly proposition.To reduce cost and to work in laboratory environments,by deploying these parameters A MATLAB simulation program has been developed to get insight of simulated reflection spectrum. Impact of the reflection on neurological tremors has been analyzed in this work.