Literature DB >> 19665136

Non-invasive model-based estimation of aortic pulse pressure using suprasystolic brachial pressure waveforms.

A Lowe1, W Harrison, E El-Aklouk, P Ruygrok, A M Al-Jumaily.   

Abstract

Elevated central arterial (aortic) blood pressure is related to increased risk of cardiovascular disease. Methods of non-invasively estimating this pressure would therefore be helpful in clinical practice. To achieve this goal, a physics-based model is derived to correlate the arterial pressure under a suprasystolic upper-arm cuff to the aortic pressure. The model assumptions are particularly applicable to the measurement method and result in a time-domain relation with two parameters, namely, the wave propagation transit time and the reflection coefficient at the cuff. Central pressures estimated by the model were derived from completely automatic, non-invasive measurement of brachial blood pressure and suprasystolic waveform and were compared to simultaneous invasive catheter measurements in 16 subjects. Systolic blood pressure agreement, mean (standard deviation) of difference was -1 (7)mmHg. Diastolic blood pressure agreement was 4 (4)mmHg. Correlation between estimated and actual central waveforms was greater than 90%. Individualization of model parameters did not significantly improve systolic and diastolic pressure agreement, but increased waveform correlation. Further research is necessary to confirm that more accurate brachial pressure measurement improves central pressure estimation.

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Year:  2009        PMID: 19665136     DOI: 10.1016/j.jbiomech.2009.05.029

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  23 in total

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Review 2.  Meta-analysis of the comparative effects of different classes of antihypertensive agents on brachial and central systolic blood pressure, and augmentation index.

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9.  Effects of robotic-assisted gait training on the central vascular health of individuals with spinal cord injury: A pilot study.

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10.  Estimation of coronary wave intensity analysis using noninvasive techniques and its application to exercise physiology.

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Journal:  Am J Physiol Heart Circ Physiol       Date:  2015-12-18       Impact factor: 4.733

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