Title :
Quantification of cardiovascular and cardiorespiratory coupling during hypoxia with Joint Symbolic Dynamics
Author :
Reulecke, S. ; Schulz, S. ; Bauer, R. ; Witte, H. ; Voss, A.
Author_Institution :
Dept. of Med. Eng. & Biotechnol., Univ. of Appl. Sci. Jena, Jena, Germany
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
Newborn mammals suffering from moderate hypoxia during or after birth are able to compensate a transitory lack of oxygen by adaptation of their vital functions. However, limited information is available about bivariate couplings of the underlying complex processes controlled by the autonomic nervous system. In this study an animal model of seven newborn piglets (2-3 days old, 1.71±0.15 kg) was used. The aim of this study was to analyze the cardiovascular and cardiorespiratory interactions of autonomous nervous system during sustained hypoxia and the interrelationship of these autonomic time series after induced reoxygenation. For this purpose we applied a new high resolution version of the nonlinear method of Joint Symbolic Dynamics (JSD) for analysis of couplings between heart rate and blood pressure and respiration rate time series, respectively. This new method is characterized by using three defined symbols (JSD3) instead of two and the application of thresholds for the symbol transformation. Our results demonstrate that in contrast to the traditional JSD the comparison of cardiovascular interactions reveals only significant differences between normoxic and hypoxic conditions using JSD3 whereas for cardiorespiratory interactions significant differences were revealed by indices from both JSD2 and JSD3 due to reoxygenation. These results suggest that the application of JSD3 reveals more detailed information about cardiovascular and cardiorespiratory interactions of autonomic regulation and might be useful for monitoring of critical human newborns.
Keywords :
cardiovascular system; haemodynamics; neurophysiology; oxygen; paediatrics; pneumodynamics; JSD2; JSD3; Joint Symbolic Dynamics; animal model; autonomic nervous system; autonomic time series; bivariate couplings; blood pressure; cardiorespiratory coupling; cardiorespiratory interactions; cardiovascular coupling; critical human newborns; heart rate; hypoxia; hypoxic conditions; induced reoxygenation; joint symbolic dynamics; newborn mammals; newborn piglets; nonlinear method; normoxic conditions; quantification; respiration rate time series; Biomedical monitoring; Blood pressure; Couplings; Heart rate; Joints; Pediatrics; Time series analysis; Animals; Animals, Newborn; Anoxia; Blood Pressure; Electrocardiography; Heart Rate; Humans; Multivariate Analysis; Respiration; Swine;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6090740