Filter design for estimating human blood-flow velocity

This paper presents the application of Kalman filter theory for estimating blood-flow velocity. Flow velocities in the great arteries of human subjects are estimated from Doppler ultrasound measurements. Results from simulated data show that measurement errors can be reduced by at least 50 percent. Thus, we anticipate that such signal processing techniques will allow an expanded role for Doppler ultrasound measurements in both clinical medicine and medical research.