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Remote thermal sensing of tissues based upon analysis of time-changing back-scattered speckle patterns

The ability to remotely extract temperature from a specific location using back scattered light analysis is very applicable. In this paper we present the first step towards remote sensing of temperature by using several approaches based upon conventional neural network analysis of the back scattered speckle patterns, analysis of the speckle patterns decorrelation time constant and Photoplethysmogram measurements.