Document Detail


Classification of low systemic vascular resistance using photoplethysmogram and routine cardiovascular measurements.
MedLine Citation:
PMID:  21097214     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Low systemic vascular resistance (SVR) can be a useful indicator for early diagnosis of critical pathophysiological conditions such as sepsis, and the ability to identify low SVR from simple and noninvasive physiological signals is of immense clinical value. In this study, an SVR classification system is presented to recognize the occurrence of low SVR, among a heterogenous group of patients (N = 48), based on the use of routine cardiovascular measurements and features extracted from the finger photoplethysmogram (PPG) as inputs to a quadratic discriminant classifier. An exhaustive feature search was performed to identify a near optimum feature subset. Cohen's kappa coefficient (κ) was used as a performance measure to compare candidate feature sets. The classifier using the following combination of features performed best (κ = 0.56, sensitivity = 96.30%, positive predictivity = 92.31%): normalized low-frequency power (LFNU) derived from PPG, ratio of low-frequency power to high-frequency power (LF/HF) of the PPG variability signal, and the ratio of mean arterial pressure to heart rate (MAP/HR). Classifiers that used either LF(NU) (κ = 0.43), LF/HF (κ = 0.37) or MAP/HR (κ = 0.43) alone showed inferior performance. Discrimination of patients with and without low SVR can be achieved with reasonable accuracy using multiple features derived from the PPG combined with routine cardiovascular measurements.
Authors:
Qim Y Lee; Gregory S H Chan; Stephen J Redmond; Paul M Middleton; E Steel; P Malouf; C Critoph; G Flynn; E O'Lone; Nigel H Lovell
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Publication Detail:
Type:  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:  2010     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2010  
Date Detail:
Created Date:  2010-11-24     Completed Date:  2011-03-29     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:  1930-3     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Blood Pressure
Cardiovascular Diseases / diagnosis,  physiopathology*
Cardiovascular System
Electrocardiography / methods*
Female
Heart Rate / physiology
Humans
Male
Models, Statistical
Multivariate Analysis
Normal Distribution
Photoplethysmography / methods*
Reproducibility of Results
Sensitivity and Specificity
Signal Processing, Computer-Assisted*
Vascular Resistance*

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


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