Multi-Channel Blind Deconvolution Using Stochastic Calculus

A new tool for the estimation of both the central arterial pressure and the unknown channel dynamics has been developed. Given two peripheral arterial pressure waveform measurements this new signal processing algorithm generates two models that represent The convolution process is modeled as a Finite Impulse Response (FIR) filter with unknown coefficients. The source signal is also unknown. Assuming that some or all of the FIR filter coefficients are time-varying, we have been able to get accurate estimatThis thesis develops a central hemodynamic monitoring based on SC. Analysis of the data from a cardiovascular simulator and animal experiments verify the validity of this scheme. The positive results demonstrate that the SC approach could open up the poss