Document Detail

Detection of nonlinearity in cardiovascular variability signals using cyclostationary analysis.
MedLine Citation:
PMID:  17372836     Owner:  NLM     Status:  MEDLINE    
A novel approach for detection of polynomial nonlinearity in the neuro-cardiovascular system based on cyclostationary analysis is presented. Metronome breathing is employed to provide a sinusoidal input to the neuro-cardiovascular system in which Heart Rate Variability (HRV) and Blood Pressure Variation (BPV) are considered as its outputs. The presence of new harmonics of the main respiratory rate in the HRV and BPV is investigated by using the concept of (self) phase and (self) frequency coupling. It is shown that a second order polynomial nonlinear system is actually involved in producing the HRV and BPV. The strength of this nonlinearity decreases with increasing the breathing rate.
Saeid Seydnejad
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Publication Detail:
Type:  Evaluation Studies; Journal Article     Date:  2007-03-20
Journal Detail:
Title:  Annals of biomedical engineering     Volume:  35     ISSN:  0090-6964     ISO Abbreviation:  Ann Biomed Eng     Publication Date:  2007 May 
Date Detail:
Created Date:  2007-04-18     Completed Date:  2007-06-27     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0361512     Medline TA:  Ann Biomed Eng     Country:  United States    
Other Details:
Languages:  eng     Pagination:  744-54     Citation Subset:  IM    
Division of Medical Devices, University of Ottawa Heart Institute, 40 Ruskin St., Ottawa, ON, Canada, K1Y 4W7.
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MeSH Terms
Blood Pressure / physiology*
Blood Pressure Determination / methods*
Computer Simulation
Diagnosis, Computer-Assisted / methods*
Electrocardiography / methods*
Heart Rate / physiology*
Models, Cardiovascular*
Nonlinear Dynamics
Oscillometry / methods*
Reproducibility of Results
Sensitivity and Specificity

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

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