Paper Info
Title
Using Alternating Kalman Filtering to Analyze Oscillometric Blood Pressure Waveforms.
Abstract
Measuring the blood pressure as accurately as possible can save a lot of human lives. Hence, it is very important to find an optimal method to determine the systolic and diastolic pressures out of the measured oscillometric blood pressure waveform (OBPW). Recently, studies have shown that by working in the frequency domain, outperforming results could be obtained for the separation of breathing from cardiac activity. In this paper, we present a new implementation of the Kalman filtering algorithm to estimate the envelope of the cardiac activity. Even though the alternating Kalman filter algorithm has subharmonic infiltrations, it offers an envelope that, when applied together with the Windkessel model for calibration, substantially reduces the error of the calibrated systolic and diastolic pressures. This important result validates the non-linear model for the OBPW, as well as the Windkessel model for calibration.
Year
DOI
Venue
2013
10.1109/TIM.2013.2258765
IEEE T. Instrumentation and Measurement
Keywords
Field
DocType
Kalman filters,blood pressure measurement,waveform analysis,OBPW,Windkessel model,alternating Kalman filtering,cardiac activity,diastolic pressures,frequency domain,nonlinear model,optimal method,oscillometric blood pressure waveforms,subharmonic infiltrations,systolic pressures,Blood pressure oscillometric waveform,Kalman filtering,digital Fourier transform,digital Taylor-Fourier transform (DTFT),signal decomposition,spectral estimation
Cardiac activity,Frequency domain,Kalman filtering algorithm,Control theory,Waveform,Control engineering,Kalman filter,Electronic engineering,Blood pressure,Breathing,Calibration,Mathematics
Journal
Volume
Issue
ISSN
62
10
0018-9456
Citations 
PageRank 
References 
11
0.83
3
Authors
3
Name
Order
Citations
PageRank
José Antonio de la O. Serna110214.57
Wendy Van Moer29929.63
Kurt Barbé38120.28