Non-invasive Arterial Pressure Signal Estimation from Electrocardiographic Signals

In this paper, it is proposed an arterial pressure signal estimation technique from electrocardiographic signals. The study also covers, fundamentally, applying knowledge from the biomedical engineering field, in analysis and signal processing of biomedical signals, because it makes use of digital filters, correlation, covariance and other methods of signal treatment, using developing tools to assist medical diagnostics. The implemented method is based on the Kalman filter’s use, which was designed considering a system model obtained from invasive arterial pressure measurements to allow the development of a non-invasive technique. Obtained results granted the estimation of the systolic and diastolic pressures, to ensure this fact, the study took into account the analysis of the system’s performance by evaluating the quantitative mean of the estimation error, the RMSE index.