Measurement of haemoglobin of human blood using 3-D photonic structure via machine learning

Abstract

Machine learning algorithm is implemented in present exertion to predict the haemoglobin concentration of human blood using the 3-D photonic crystal structure. The principle of prediction is based on the linear regression algorithm of machine learning using ‘R’ language which acts on the input electrical energy emerging from 3-D photonic crystal through photodetector to get the haemoglobin concentration in human blood. Prior to implementation of machine learning, plane wave expansion method is employed to gather the theoretical value of different equivalent voltages through photonic band gap variation of said structure corresponding to different percentage of concentration of haemoglobin in human blood which acts as the past experiences (data) for the machine learning. Finally, a desktop application is premeditated in JAVA for manifestation of different output by using a predesigned ‘R’ function for the different output which is coming from photodetector.