Multi-channel blind system identification for cardiovascular monitoring

摘要

Multi-channel blind system identification is utilized to identify a patient's cardiac functions without catheterization. The approach is adaptive to each patient's cardiovascular system variations. The cardiac functions can be determined by formulating an auto-regression moving average model utilizing either finite impulse response systems or a group of infinite impulse response systems. Both of these models identify the system functions by solving a set of linear equations using the least-squares method. The system input is then identified by deconvolving the system output and the estimated impulse response of each channel. These models can be augmented to obtain an estimate of the maximum order of the cardiac functions when they are unknown a priori. The approach can also be modified to obtain the cardiac functions by first resolving the distinct dynamics associated with each channel, then determining the common dynamics and ultimately determining the system input.