Document Detail

Reduction of interference in oscillometric arterial blood pressure measurement using fuzzy logic.
MedLine Citation:
PMID:  12723054     Owner:  NLM     Status:  MEDLINE    
In oscillometry, oscillation amplitudes (OAs) embedded in the cuff pressure are drastically affected by a variety of artifacts and cardiovascular diseases, leading to inaccurate arterial blood pressure (ABP) measurement. The purpose of this paper is to improve the accuracy in the arterial pressure measurement by reducing interference in the OAs using a recursive weighted regression algorithm (RWRA). This method includes a fuzzy logic discriminator (FLD) and a recursive regression algorithm. The FLD is used to reduce the effect of artifacts caused by measurement motion disturbance or cardiovascular diseases, and to determine the truthfulness of the oscillation pulse. According to the truth degree, the relationship between the cuff pressure and OA is reconstructed using the regression algorithm. Because the regression method must utilize inverse matrix operation, which will be difficult to implement in an automatic or ambulatory monitor, the recursive regression method is proposed to solve this problem. To test the performance of this RWRA, 47 subjects underwent the ABP measurement using both the auscultation and the oscillometry combined with the RWRA. It was found that the average difference between the pooled blood pressures measured by the auscultation and those by the oscillometry combined with the RWRA was found to be only 4.9 mmHg. Clinical results demonstrated that the proposed RWRA is more robust than the traditional curve fitting algorithm (TCFA). We conclude that the proposed RWRA can be applied to effectively improve the accuracy of the oscillometric blood pressure measurement.
Chin-Teng Lin; Shing-Hong Liu; Jia-Jung Wang; Zu-Chi Wen
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Publication Detail:
Type:  Clinical Trial; Controlled Clinical Trial; Journal Article; Research Support, Non-U.S. Gov't; Validation Studies    
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  50     ISSN:  0018-9294     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  2003 Apr 
Date Detail:
Created Date:  2003-04-30     Completed Date:  2003-05-22     Revised Date:  2009-11-11    
Medline Journal Info:
Nlm Unique ID:  0012737     Medline TA:  IEEE Trans Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  432-41     Citation Subset:  IM    
Department of Electrical and Control Engineering, National Chiao-Tung University, Hsinchu 300, Taiwan, ROC.
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MeSH Terms
Aged, 80 and over
Blood Pressure*
Blood Pressure Determination / methods*
Cardiovascular Diseases / physiopathology*
Fuzzy Logic*
Middle Aged
Models, Cardiovascular*
Oscillometry / methods*
Quality Control
Regression Analysis

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

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