Using Kalman filtering to analyze oscillometric blood presssure waveforms

José Antionio De La O Serna, Wendy Van Moer, Kurt Barbé

Research output: Chapter in Book/Report/Conference proceedingConference paper


Measuring the blood pressure 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 wave-form. Recently, studies have been showing that, by working in the frequency domain, outperforming results could be obtained. Using the digital Taylor-Fourier transform (DTFT) even allows separating the breathing and cardiac activity that is present in the oscillometric waveform. Furthermore, an estimate of the frequency fluctuation can easily be obtained. In this paper, we will investigate whether or not a Kalman filtering implementation can provide better results that the DTFT analysis. In theory both approaches should be equally performing. Both techniques will be compared on measured oscillometric waveforms. Even if the alternating Kalman filter does not excel the DTFT algorithm in interharmonic rejection, it offers interesting signal decomposition alternatives.
Original languageEnglish
Title of host publicationMeMeA 2012 IEEE Symposium on Medical Measurements and Applications, Budapest, Hungary, May 18-19, 2012
Number of pages6
Publication statusPublished - 18 May 2012


  • Kalman filtering
  • blood pressure


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