Name
Title | ||
|---|---|---|
An initial step towards improving the accuracy of the oscillometric blood pressure measurement. |
Abstract | ||
|---|---|---|
We conceived a set of physical model-based techniques to compute blood pressure (BP) from a standard oscillometric cuff pressure measurement. First, the cuff pressure measurement is represented with a physical model. Then, the model unknowns are determined from the measurement via a parametric, non-parametric or hybrid technique. Finally, the entire BP waveform is computed from the determined model. For an initial assessment, we compared the accuracy of these techniques with the conventional fixed-ratio technique for computing systolic and diastolic pressures using cuff pressure measurements simulated with an established oscillometric model over a wide parameter range. The new techniques afforded much greater accuracy than the conventional technique. Our future efforts will focus on experimental validation. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/EMBC.2013.6610442 | EMBC |
Keywords | Field | DocType |
oscillometric cuff blood pressure measurement,blood pressure measurement,nonparametric technique,waveform analysis,systolic pressure computation,hybrid technique,physiological models,physical model-based technique,diastolic pressure computation,blood pressure waveform computation,computational modeling,accuracy,oscillators,pressure measurement,blood pressure | Waveform analysis,Cuff pressure,Computer science,Waveform,Electronic engineering,Parametric statistics,Blood pressure | Conference |
Volume | ISSN | Citations |
2013 | 1557-170X | 1 |
PageRank | References | Authors |
0.63 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiankun Liu | 1 | 2 | 2.67 |
| Jin-Oh Hahn | 2 | 26 | 6.10 |
| Ramakrishna Mukkamala | 3 | 76 | 16.60 |