Blood flow analysis using euclidean distance algorithm and discrete wavelet transform

To improve the quantitative analysis of Blood flow signal, measured with Laser-Doppler Flowmetry, Wavelet Transforms are used. This proposed algorithm consists of three phases. In the first phase, RBC´s in the blood flow signal is measured with the help of the LDF model. In the second phase, the Wavelet Transforms are used to extract the features of the signal. Two signals are used for analysis, one from the normal patient and another from abnormal (diabetic) patient. In the third phase, to identify the abnormal patient, the Euclidean distance algorithm is used.