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Accurate velocity estimation from Doppler signals is desirable for various research studies. However, the difficulties associated with Doppler blood velocity estimation have limited the technique’s applications. The majority of Doppler-based estimations suffer from considerable attenuation and phase distortion of the Doppler signals. This study considers the possibility of improving velocity estimation by incorporating the characteristics of signals in the space domain. A minimum-squares filter is applied to a down-sampled version of a candidate signal in order to determine the direction of blood flow. Two parameters, an apical-to-basal angle (θ) and a ratio (C/T) of the temporal parameters of the Doppler signal, are estimated and used as an adaptive filter to improve the estimation of flow velocity. Experimental results showed that the proposed approach is more robust to baseline shift
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