Non-Invasive Blood Pressure Total Waveform Monitoring Using Information Extracted by an Extended Kalman Filter Algorithm from Pulsations in an Oscillatory Cuff

This paper describes a novel approach designed for non-invasive, routine screening of patients cardiovascular disorders without the complexities using an electrocardiogram or invasive probes. Specifically, oscillographic-view brachial artery blood pressure waveform, including dicrotic notch, is extracted from information in pulsations ordinary cuff. The novelty this that total continuous shape not just two numbers pressures, generated. A computer algorithm processes cuff and provides near real-time visual estimate waveform to be viewed on oscilloscopes commonly used hospitals medical clinics. model-based Extended Kalman Filter (EKF) process identify coefficients Fourier transform model empirical stiffness. By viewing variations during series pulse cycles can observed easily recognized. Simulations two-case studies demonstrate successful convergence variety arrhythmia, changing systolic diastolic levels, stiff arteries. Experimental verification proposed procedure will require measurements while simultaneously processing non-invasive comparisons. Once verified experimentally, end goal use with known diseases order create database correlated specific diseases.