Blood pressure (BP) simulators that regenerate oscillometric waveforms provide an alternative for BP device validation. However, their ability to regenerate oscillometric waveforms recorded from unstable conditions has not been fully investigated. This study aimed to provide this information. Manual auscultatory systolic and diastolic blood pressures (SBP and DBP) were measured on 10 healthy subjects under both resting and regular deep breathing conditions. During the manual measurement the oscillometric cuff pressure waveforms were recorded digitally. A specially designed BP simulator was used to regenerate the oscillometric waveforms, which were presented to a clinically validated automatic oscillometric non-invasive BP device to obtain automated BPs from all the 20 waveforms. The SBP and DBP changes induced by deep breathing were finally quantified and compared with the measurement by the automatic device and the manual auscultatory method. Deep breathing decreased both manual and automated SBPs significantly by 5.0 and 6.0 mmHg in comparison with those from the resting condition (both P<;0.01). The corresponding decreases of manual and automated DBPs were 2.6 and 3.3 mmHg (both P<;0.05). The automated BP decrease induced by deep breathing was not significantly diferent from that for manual BP (both P>0.5). Our results demonstrated that the BP simulator can regenerate unstable physiological oscillometric waveforms, confirming that it could be an alternative to clinical trials.
|Title of host publication||Computing in Cardiology|
|Number of pages||4|
|Publication status||Published - 2014|
|Event||Computing in Cardiology 2014 - Cambridge, United States|
Duration: 7 Sep 2014 → 10 Sep 2014
|Conference||Computing in Cardiology 2014|
|Abbreviated title||CinC 2014|
|Period||7/09/14 → 10/09/14|
Bibliographical noteLicensed under the Creative Commons Attribution
License 2.5 (CCAL).
Since volume 33 (2006), CinC has been an open-access publication, in which copyright in each article is held by its authors, who grant permission to copy and redistribute their work with attribution, under the terms of the Creative Commons Attribution License. Earlier volumes appear here courtesy of the IEEE.
Zheng, D., Liu, C., Amoore, J., Mieke, S., & Murray, A. (2014). Validation of a blood pressure simulator that regenerates oscillometric cuff pressure waveforms. In Computing in Cardiology (Vol. 41, pp. 841-844). IEEE.