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Systolic blood pressure variability (BPV) is associated with cardiovascular events. As the beat-to-beat variation of blood pressure is due to interaction of several cardiovascular control systems operating with different response times, assessment of BPV by spectral analysis using the continuous measurement of arterial pressure in the finger is used to differentiate the contribution of these systems in regulating blood pressure. However, as baroreceptors are centrally located, this study considered applying a continuous aortic pressure signal estimated noninvasively from finger pressure for assessment of systolic BPV by a time-frequency method using Short Time Fourier Transform (STFT). The average ratio of low frequency and high frequency power band (LFPB/HFPB) was computed by time-frequency decomposition of peripheral systolic pressure (pSBP) and derived central aortic systolic blood pressure (cSBP) in 30 healthy subjects (25-62 years) as a marker of balance between cardiovascular control systems contributing in low and high frequency blood pressure variability. The results showed that the BPV assessed from finger pressure (pBPV) overestimated the BPV values compared to that assessed from central aortic pressure (cBPV) for identical cardiac cycles (P<0.001), with the overestimation being greater at higher power.
|Title of host publication||2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016|
|Place of Publication||New York|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Number of pages||4|
|Publication status||Published - 13 Oct 2016|
|Event||38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States|
Duration: 16 Aug 2016 → 20 Aug 2016
|Other||38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016|
|Period||16/08/16 → 20/08/16|
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- 1 Finished
Blood pressure control by neural activation: underlying mechanisms of electric field stimulation and photostimulation of genetically targeted neurones
15/10/12 → 31/12/16