Document Detail


Modeling the adaptive pathophysiology of essential hypertension.
MedLine Citation:
PMID:  22254488     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
This paper proposes an adaptive neuro-fuzzy model to study the pathophysiology of essential hypertension. Using diverse inputs such as risk factors, physical relations and medical interventions, and states that include both transient and resting states for key physiological variables (blood pressure, total peripheral resistance), it can roughly predict both real-time and long-term blood pressure change for a robust range of inputs. Although it was tuned using published population data, it can be applied to specific individuals to estimate the risks of hypertension with different life experience.
Authors:
Yu Wang; Jack M Winters
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference     Volume:  2011     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2011  
Date Detail:
Created Date:  2012-01-18     Completed Date:  2012-06-07     Revised Date:  2014-08-21    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1029-32     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Adaptation, Physiological
Arteries / physiopathology*
Blood Flow Velocity
Blood Pressure
Computer Simulation
Humans
Hypertension / physiopathology*
Models, Cardiovascular*
Vascular Resistance

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


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