Document Detail


Accuracy of some algorithms to determine the oscillometric mean arterial pressure: a theoretical study.
MedLine Citation:
PMID:  23275315     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
OBJECTIVE: To compare different algorithms to determine the oscillometric mean arterial pressure.
METHODS: Using a computer-based model, the accuracy of five algorithms was studied: maximum amplitude algorithm, 33 and 40% formulas calculating the mean arterial pressure from oscillometrically measured systolic and diastolic pressures, and two oscillation shape-based algorithms. We examined to which extent the tested algorithms were influenced by variations in four affective factors: pulse pressure, arterial pressure pulse shape index, and two shape indices (symmetry and steepness) of the artery-cuff pressure/volume relationship. Different ranges of variation of affecting factors were applied.
RESULTS: The accuracy of the oscillation shape-based algorithms was found to be higher than the accuracy of the oscillation amplitude-based algorithms. The oscillation mean shape index-based determination had an almost 2-3 times narrower error range compared with the maximum amplitude algorithm. Modeling showed that the mean arterial pressure changes resulting from the varying shape of the arterial pressure waveform cannot be measured using the oscillation amplitude-based algorithms, whereas these changes can be determined effectively using the oscillation shape-based algorithms.
CONCLUSION: The maximum amplitude algorithm has a relatively low accuracy for the estimation of the mean arterial pressure. Its error range is even larger than that of estimates calculated by the 33 or 40% formulas from the oscillometrically measured systolic and diastolic blood pressures. A considerably higher accuracy can be achieved by applying the oscillation shape-based algorithms.
Authors:
Rein Raamat; Jaak Talts; Kersti Jagomägi; Jana Kivastik
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Blood pressure monitoring     Volume:  18     ISSN:  1473-5725     ISO Abbreviation:  Blood Press Monit     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2012-12-31     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9606438     Medline TA:  Blood Press Monit     Country:  England    
Other Details:
Languages:  eng     Pagination:  50-6     Citation Subset:  IM    
Affiliation:
Department of Physiology, University of Tartu, Tartu, Estonia.
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