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In this paper, respiratory rate is extracted using signal processing and machine learning methods from electrical impedance, measured across arm. Two pairs of electrodes have been used along the arm, one for injecting the current, and one for sensing the voltage. After filtering, the frequency components and other signal features have been extracted using Short Time Fourier Transform (STFT). Then...
This study focuses on detection of capillaries and small blood vessels in the videos recorded from the lingual surface using Microscan SDF system. The purpose of this study is to quantitatively monitor and assess the changes that occur in microcirculation during resuscitation period. The results assist physicians in making diagnostically and therapeutically important decisions such as determination...
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