Document Detail


Blind identification of the aortic pressure waveform from multiple peripheral artery pressure waveforms.
MedLine Citation:
PMID:  17208992     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We have developed a new technique to estimate the clinically relevant aortic pressure waveform from multiple, less invasively measured peripheral artery pressure waveforms. The technique is based on multichannel blind system identification in which two or more measured outputs (peripheral artery pressure waveforms) of a single-input, multi-output system (arterial tree) are mathematically analyzed so as to reconstruct the common unobserved input (aortic pressure waveform) to within an arbitrary scale factor. The technique then invokes Poiseuille's law to calibrate the reconstructed waveform to absolute pressure. Consequently, in contrast to previous related efforts, the technique does not utilize a generalized transfer function or any training data and is therefore entirely patient and time specific. To demonstrate proof of concept, we have evaluated the technique with respect to four swine in which peripheral artery pressure waveforms from the femoral and radial arteries and a reference aortic pressure waveform from the descending thoracic aorta were simultaneously measured during diverse hemodynamic interventions. We report that the technique reliably estimated the entire aortic pressure waveform with an overall root mean squared error (RMSE) of 4.6 mmHg. For comparison, the average overall RMSE between the peripheral artery pressure and reference aortic pressure waveforms was 8.6 mmHg. Thus the technique reduced the RMSE by 47%. As a result, the technique also provided similar improvements in the estimation of systolic pressure, pulse pressure, and the ejection interval. With further successful testing, the technique may ultimately be employed for more precise monitoring and titration of therapy in, for example, critically ill and hypertension patients.
Authors:
Gokul Swamy; Qi Ling; Tongtong Li; Ramakrishna Mukkamala
Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't     Date:  2007-01-05
Journal Detail:
Title:  American journal of physiology. Heart and circulatory physiology     Volume:  292     ISSN:  0363-6135     ISO Abbreviation:  Am. J. Physiol. Heart Circ. Physiol.     Publication Date:  2007 May 
Date Detail:
Created Date:  2007-05-09     Completed Date:  2007-06-27     Revised Date:  2007-12-03    
Medline Journal Info:
Nlm Unique ID:  100901228     Medline TA:  Am J Physiol Heart Circ Physiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  H2257-64     Citation Subset:  IM    
Affiliation:
Department of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Animals
Aorta / physiology*
Blood Pressure / physiology*
Blood Pressure Determination / methods*
Computer Simulation
Diagnosis, Computer-Assisted / methods*
Femoral Artery / physiology*
Models, Cardiovascular
Radial Artery / physiology*
Reproducibility of Results
Sensitivity and Specificity
Swine
Grant Support
ID/Acronym/Agency:
EB 004444/EB/NIBIB NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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