Theoretical analysis of non-invasive oscillometric maximum amplitude algorithm for estimating mean blood pressure

Baker, P. D.; Westenskow, Dwayne R.; Kück, Kai

doi:10.1007/bf02530049

Cited by 127 publications

(79 citation statements)

References 22 publications

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“…This discrepancy may be caused by the tendency of the oscillometric device to overestimate the blood pressure in conditions of decreased arterial wall distensibility. An overestimation of blood pressure in rigid or partly contracted arteries by the oscillometric method has been predicted by several theoretical studies (URSlNO and CRISTALLI, 1996;BAKER et al, 1997;RAAMAT et al, 1999). Results of computer simulations have shown that changes in vascular tone will lead to a shift of the maximum point of an oscillometric envelope.…”

Section: (A) Oscillometric Device Ut9201 and Finapres; (B) Diffbrenmentioning

confidence: 90%

Continuous mean arterial pressure measurement in the fingers: The influence of local arm cooling

Raamat

Jagomägi

Talts

et al. 2001

Med. Biol. Eng. Comput.

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Two different methods were studied for non-invasive beat-to-beat finger mean arterial pressure (MAP) measurement in 14 healthy volunteers during local arm cooling to 17 degrees C. Fingertip skin blood flow was recorded by a laser Doppler instrument. The difference between the oscillometric beat-to-beat blood pressure measurement device (UT9201) and volume clamp monitor (Finapres) before cooling was -1.5+/-1.1 mmHg, and, although statistically significant, (p< 0.01), this difference cannot be considered clinically meaningful. The results obtained using the two devices during arm cooling showed a systematic disagreement in the continuously recorded MAP. After a 30s period of cooling, the group-averaged difference of UT9201 minus Finapres, calculated as change from the baseline, reached (mean +/- SD) 8.8+/-6.3 mmHg (statistically significant, p< 0.01).

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Section: (A) Oscillometric Device Ut9201 and Finapres; (B) Diffbrenmentioning

confidence: 90%

Continuous mean arterial pressure measurement in the fingers: The influence of local arm cooling

Raamat

Jagomägi

Talts

et al. 2001

Med. Biol. Eng. Comput.

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“…Although the mean values are different, the variances are too large. The correlation with the mean arterial pressure (MAP) [16,17] was investigated for each person separately. The equation resulting from the regression analysis is ASI = 0,039 · MAP + 2,2·10 -4 (2) and the p-value is 5,96·10 -9 .…”

Section: Ifmbe Proceedings Vol 51mentioning

confidence: 99%

An evaluation of Arterial Stiffness Index in Relation to the State of the Cardiovascular System

et al. 2015

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Abstract-The study deals with an evaluation of correlation between an Arterial Stiffness Index and a state of the cardiovascular system. The main goal of the research is to show whether the ASI is an appropriate parameter for CVS state classification. The statistical evaluation of the dependency of the ASI on the CVS state and other parameters has been done using the linear regression analysis and the t-test of mean values. The ASI has been correlated with the age of the patient, the blood pressure (low/normal/high), the mean arterial pressure and the presence both of the cardiovascular diseases and diabetes mellitus. For the evaluation the signal database which consists of signals from more than 90 persons in wide age range (from 20 to 94 years) has been used. It has been proved that the ASI depends on the age of the patient, on the MAP and on the presence both of the cardiovascular diseases and diabetes mellitus in the study. Only the correlation between the ASI and blood pressure (low/normal/high) has not been directly proved. Although the results are statistically significant, the study shows the limitations of ASI as a CVS status marker. The ASI is a suitable parameter for primary screening, but it should be complemented by additional parameters for increased reliability.

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“…P-V relationship is known to follow an exponential behaviour in the human circulation (Baker et al 1997, Burkhoff et al 2005 as noted in (1). Our assumption is that this practice is valid in the developed in vitro model which mimics the mechanics of the human circulation.…”

Section: Principlementioning

confidence: 99%

Photoplethysmography for an independent measure of pulsatile pressure under controlled flow conditions

Njoum

Kyriacou²

2016

Physiol. Meas.

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Noninvasive continuous blood pressure measurements are desirable for patients and clinicians. This work proposes and validates a method for transmural pressure measurement using photoplethysmography (PPG) in an in vitro setup that allows control of pressure and flow conditions. The optimum pulsatile volume measure is obtained by comparing parameters extracted from the photoplethysmographic signal (AC amplitude, normalized pulse volume (NPV) and adjusted pulse volume (APV)). Pulsatile volume can then provide pressure measurements using the exponential pressurevolume (P-V) relationship and validated using the gold standard catheter pressure measurement. Pressure, red (R) and infrared (IR) PPG signals were recorded continuously in two arterial models with different cross-sectional areas (Model 1 and Model 2) utilising a pulsatile pump. Flow rates were controlled by varying pumping frequencies at low and high stroke volumes. The optimum method for estimation of the pulsatile volume is through APV, which had a highly significant correlation (r 2 = 0.99, p < 0.001) for Model 1 and (r 2 = 0.98, p < 0.001) for Model 2. APV obtained a significantly better fit when compared to NPV IR (r 2 = 0.73, z = 25.85, p < 0.001), NPV R (r 2 = 0.95, z = 12.26, p < 0.001), IR AC (r 2 = 0.52, z = 28.29, p < 0.0001) and R AC (r 2 = 0.92, z = 15.27, p < 0.0001) in Model 1, and when compared to NPV IR (r 2 = 0.92, z = 10.23, p < 0.0001), NPV R (r 2 = 0.96, z = 5.08, p < 0.001) IR AC (r 2 = 0.63, z = 22.47, p < 0.0001) and R AC (r 2 = 0.92, z = 17.70, p < 0.0001) in Model 2. These preliminary findings suggest that APV could be used as a potential non-invasive continuous method of blood pressure measurement at different flow conditions.

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Theoretical analysis of non-invasive oscillometric maximum amplitude algorithm for estimating mean blood pressure

Cited by 127 publications

References 22 publications

Continuous mean arterial pressure measurement in the fingers: The influence of local arm cooling

Continuous mean arterial pressure measurement in the fingers: The influence of local arm cooling

An evaluation of Arterial Stiffness Index in Relation to the State of the Cardiovascular System

Photoplethysmography for an independent measure of pulsatile pressure under controlled flow conditions

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