Document Detail


Pulse morphology visualization and analysis with applications in cardiovascular pressure signals.
MedLine Citation:
PMID:  17867347     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
We present a new analysis and visualization method for studying the functional relationship between the pulse morphology of pressure signals and time or signal metrics such as heart rate, pulse pressure, and means of pressure signals, such as arterial blood pressure and central venous pressure. The pulse morphology is known to contain potentially useful clinical information, but it is difficult to study in the time domain without the aid of a tool such as the method we present here. The primary components of the method are established signal processing techniques, nonparametric regression, and an automatic beat detection algorithm. Some of the insights that can be gained from this are demonstrated through the analysis of intracranial pressure signals acquired from patients with traumatic brain injuries. The analysis indicates the point of transition from low-pressure morphology consisting of three distinct peaks to a high-pressure morphology consisting of a single peak. In addition, we demonstrate how the analysis can reveal distinctions in the relationship between morphology and several signal metrics for different patients.
Authors:
Tim Ellis; James McNames; Mateo Aboy
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  IEEE transactions on bio-medical engineering     Volume:  54     ISSN:  0018-9294     ISO Abbreviation:  IEEE Trans Biomed Eng     Publication Date:  2007 Sep 
Date Detail:
Created Date:  2007-09-17     Completed Date:  2007-10-19     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:  1552-9     Citation Subset:  IM    
Affiliation:
Biomedical Signal Processing Laboratory, Electrical and Computer Engineering Department, Portland State University, 1900 SW 4th Ave., Portland, OR 97201, USA. taellis@pdx.edu
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MeSH Terms
Descriptor/Qualifier:
Algorithms
Blood Pressure*
Blood Pressure Determination / methods*
Brain Injuries / diagnosis*,  physiopathology*
Child
Diagnosis, Computer-Assisted / methods*
Humans
Intracranial Pressure*
Manometry / methods*
Pattern Recognition, Automated
Reproducibility of Results
Sensitivity and Specificity

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


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