Autonomic information flow improves prognostic impact of task force HRV monitoring. Export

@article{citeulike:2274649, abstract = {Heart rate variability (HRV) represents the cardiovascular control mediated by the autonomic nervous system and other mechanisms. In the established task force HRV monitoring different cardiovascular control mechanisms can approximately be identified at typical frequencies of heart rate oscillations by power spectral analysis. HRV measures assessing complex and fractal behavior partly improved clinical risk stratification. However, their relationship to (patho-)physiology is not sufficiently explored. Objective of the present work is the introduction of complexity measures of different physiologically relevant time scales. This is achieved by a new concept of the autonomic information flow (AIF) analysis which was designed according to task force HRV. First applications show that different time scales of AIF improve the risk stratification of patients with multiple organ dysfunction syndrome and cardiac arrest patients in comparison to standard HRV. Each group's significant time scales correspond to their respective pathomechanisms.}, address = {Biomagnetic Center, Department of Neurology, Clinical Center, Friedrich Schiller University, 07743 Jena, Germany. dirk.hoyer@mti.uni-jena.de}, author = {Hoyer, D. and Friedrich, H. and Frank, B. and Pompe, B. and Baranowski, R. and Zebrowski, J. J. and Schmidt, H.}, citeulike-article-id = {2274649}, citeulike-linkout-0 = {http://dx.doi.org/10.1016/j.cmpb.2006.01.002}, citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/16483685}, citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=16483685}, doi = {10.1016/j.cmpb.2006.01.002}, issn = {0169-2607}, journal = {Comput Methods Programs Biomed}, keywords = {autonomic\_info\_flow, complexity, hrv, vfc}, month = {March}, number = {3}, pages = {246--255}, posted-at = {2008-01-22 15:49:55}, priority = {2}, title = {Autonomic information flow improves prognostic impact of task force HRV monitoring.}, url = {http://dx.doi.org/10.1016/j.cmpb.2006.01.002}, volume = {81}, year = {2006} }

TY - JOUR ID - citeulike:2274649 L3 - citeulike-article-id:2274649 N2 - Heart rate variability (HRV) represents the cardiovascular control mediated by the autonomic nervous system and other mechanisms. In the established task force HRV monitoring different cardiovascular control mechanisms can approximately be identified at typical frequencies of heart rate oscillations by power spectral analysis. HRV measures assessing complex and fractal behavior partly improved clinical risk stratification. However, their relationship to (patho-)physiology is not sufficiently explored. Objective of the present work is the introduction of complexity measures of different physiologically relevant time scales. This is achieved by a new concept of the autonomic information flow (AIF) analysis which was designed according to task force HRV. First applications show that different time scales of AIF improve the risk stratification of patients with multiple organ dysfunction syndrome and cardiac arrest patients in comparison to standard HRV. Each group's significant time scales correspond to their respective pathomechanisms. IS - 3 JF - Comput Methods Programs Biomed SN - 0169-2607 AD - Biomagnetic Center, Department of Neurology, Clinical Center, Friedrich Schiller University, 07743 Jena, Germany. dirk.hoyer@mti.uni-jena.de EP - 255 TI - Autonomic information flow improves prognostic impact of task force HRV monitoring. VL - 81 SP - 246 KW - autonomic_info_flow KW - complexity KW - hrv KW - vfc AU - Hoyer, D AU - Friedrich, H AU - Frank, B AU - Pompe, B AU - Baranowski, R AU - Zebrowski, JJ AU - Schmidt, H PY - 2006/03// UR - http://dx.doi.org/10.1016/j.cmpb.2006.01.002 ER -