Name
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. 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 than 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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/MeMeA.2012.6226622 | MeMeA |
Keywords | Field | DocType |
breathing,systolic pressure,cardiology,kalman filter,kalman filtering,vectors,fourier transform,blood pressure measurement,diastolic pressure,frequency response,frequency domain,harmonic analysis,kalman filters,blood pressure,fourier transforms | Discrete-time Fourier transform,Frequency domain,Frequency response,Control theory,Waveform,Fourier transform,Kalman filter,Harmonic analysis,Blood pressure,Mathematics | Conference |
ISBN | Citations | PageRank |
978-1-4673-0880-9 | 1 | 0.57 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| José Antonio de la O. Serna | 1 | 102 | 14.57 |
| Wendy Van Moer | 2 | 99 | 29.63 |
| Kurt Barbé | 3 | 81 | 20.28 |