Document Detail

Calculation of the mean pressure with less delay for real-time clinical monitoring.
MedLine Citation:
PMID:  17946147     Owner:  NLM     Status:  MEDLINE    
The mean of cardiovascular pressure signals is an important metric in patient monitoring applications for many types of diseases and injuries. It is typically calculated with a moving average of 3-8 s of the pulsatile signal. This method of calculating the mean introduces a delay of 1.5-4 s. We demonstrate that an FIR filter with coefficients calculated with a least squares error (LSE) estimator can reduce this delay without a clinically significant impact on the accuracy of the displayed signal. Preliminary results with intracranial pressure signals show that the delay can be completely eliminated with a maximum root-mean-square error of approximately 1 mmHg. Reduction or elimination of this delay could permit patient monitors to display the mean in real time and permit clinicians to respond to acute events more rapidly.
Tim Ellis; James McNames; Brahm Goldstein
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't    
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:  1     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2006  
Date Detail:
Created Date:  2007-10-23     Completed Date:  2008-03-13     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:  2880-3     Citation Subset:  IM    
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MeSH Terms
Biomedical Engineering
Brain Injuries / physiopathology
Intracranial Hypertension / diagnosis,  physiopathology
Intracranial Pressure*
Least-Squares Analysis
Monitoring, Physiologic / statistics & numerical data*
Signal Processing, Computer-Assisted
Time Factors

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

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