Document Detail


Aortic pressure estimation with electro-mechanical circulatory assist devices.
MedLine Citation:
PMID:  8326725     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
An adaptive technique for the estimation of the time history of aortic pressure (from applied voltage and position feedback) has been designed, implemented, and bench tested using the Penn State Electric Ventricular Assist Device (EVAD). This method, known in the field of automatic control as a dynamic observer, utilizes gains which were determined using experimental data collected while the EVAD was running on a mock circulatory system. An adaptive scheme provides the observer with a method of changing its initial conditions on a stroke-by-stroke basis which improves observer performance. In both determining the feedback gains and developing the adaptation scheme, a range of beat rates and pressure loads was taken into account to yield satisfactory observer performance over a range of operating conditions. The observer was implemented, its performance was verified in vitro and results are reported. In the six experimental operating conditions, the beat rate ranged from 56-104 beats per minute (bpm) and the span of the mean systolic aortic pressure was 10.7-18.7 kPa (80-140 mmHg). For these cases, the mean deviation between the actual and estimated aortic pressure during the latter two-thirds of systole was 0.41 kPa (3.1 mmHg).
Authors:
J F Gardner; M Ignatoski; U Tasch; A J Snyder; D B Geselowitz
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Journal of biomechanical engineering     Volume:  115     ISSN:  0148-0731     ISO Abbreviation:  J Biomech Eng     Publication Date:  1993 May 
Date Detail:
Created Date:  1993-08-09     Completed Date:  1993-08-09     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  7909584     Medline TA:  J Biomech Eng     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  187-94     Citation Subset:  IM    
Affiliation:
Pennsylvania State University, University Park 16802.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
Aorta / physiology*
Bias (Epidemiology)
Blood Pressure Monitors*
Evaluation Studies as Topic
Feedback
Heart Rate
Heart-Assist Devices*
Humans
Models, Cardiovascular
Models, Statistical
Therapy, Computer-Assisted*
Grant Support
ID/Acronym/Agency:
R01-HL-13426/HL/NHLBI NIH HHS; R01-HL-20356/HL/NHLBI NIH HHS

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


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