Generalized Poincare Plots-A New Method for Evaluation of Regimes in Cardiac Neural Control in Atrial Fibrillation and Healthy Subjects
2016
Authors
Platiša, Mirjana M.Bojić, Tijana
Pavlović, Siniša U.
Radovanovic, Nikola N.
Kalauzi, Aleksandar
Article (Published version)
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Classical Poincare plot is a standard way to measure nonlinear regulation of cardiovascular control. In our work we propose a generalized form of Poincare plot where we track correlation between the duration of j preceding and k next RR intervals. The investigation was done in healthy subjects and patients with atrial fibrillation, by varying j,k LT = 100. In cases where j = k, in healthy subjects the typical pattern was observed by paths that were substituting scatterplots and that were initiated and ended by loops of Poincare plot points. This was not the case for atrial fibrillation patients where Poincare plot had a simple scattered form. More, a typical matrix of Pearsons correlation coefficients, r(j,k), showed different positions of local maxima, depending on the subjects health condition. In both groups, local maxima were grouped into four clusters which probably determined specific regulatory mechanisms according to correlations between the duration of symmetric and asymmetric... observed RR intervals. We quantified matrices degrees of asymmetry and found that they were significantly different: distributed around zero in healthy, while being negative in atrial fibrillation. Also, Pearsons coefficients were higher in healthy than in atrial fibrillation or in signals with reshuffled intervals. Our hypothesis is that by this novel method we can observe heart rate regimes typical for baseline conditions and defense reaction in healthy subjects. These data indicate that neural control mechanisms of heart rate are operating in healthy subjects in contrast with atrial fibrillation, identifying it as the state of risk for stress-dependent pathologies. Regulatory regimes of heart rate can be further quantified and explored by the proposed novel method.
Keywords:
Poincare plot / autonomic nervous system / heart rate / atrial fibrillation / indexes of asymmetry / neural control regimesSource:
Frontiers in Neuroscience, 2016, 10, 38-Funding / projects:
- Development of new technology for production of red wine and diatery supplements reach with polyphenols with cardioprotective effects (RS-MESTD-Technological Development (TD or TR)-31020)
- Neurobiology of sleep in aging and disease - electroencephalographic markers and modeling in the estimation of disorder (RS-MESTD-Basic Research (BR or ON)-173022)
DOI: 10.3389/fnins.2016.00038
ISSN: 1662-453X
PubMed: 26909018
WoS: 000370328700004
Scopus: 2-s2.0-84964341662
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VinčaTY - JOUR AU - Platiša, Mirjana M. AU - Bojić, Tijana AU - Pavlović, Siniša U. AU - Radovanovic, Nikola N. AU - Kalauzi, Aleksandar PY - 2016 UR - https://vinar.vin.bg.ac.rs/handle/123456789/941 AB - Classical Poincare plot is a standard way to measure nonlinear regulation of cardiovascular control. In our work we propose a generalized form of Poincare plot where we track correlation between the duration of j preceding and k next RR intervals. The investigation was done in healthy subjects and patients with atrial fibrillation, by varying j,k LT = 100. In cases where j = k, in healthy subjects the typical pattern was observed by paths that were substituting scatterplots and that were initiated and ended by loops of Poincare plot points. This was not the case for atrial fibrillation patients where Poincare plot had a simple scattered form. More, a typical matrix of Pearsons correlation coefficients, r(j,k), showed different positions of local maxima, depending on the subjects health condition. In both groups, local maxima were grouped into four clusters which probably determined specific regulatory mechanisms according to correlations between the duration of symmetric and asymmetric observed RR intervals. We quantified matrices degrees of asymmetry and found that they were significantly different: distributed around zero in healthy, while being negative in atrial fibrillation. Also, Pearsons coefficients were higher in healthy than in atrial fibrillation or in signals with reshuffled intervals. Our hypothesis is that by this novel method we can observe heart rate regimes typical for baseline conditions and defense reaction in healthy subjects. These data indicate that neural control mechanisms of heart rate are operating in healthy subjects in contrast with atrial fibrillation, identifying it as the state of risk for stress-dependent pathologies. Regulatory regimes of heart rate can be further quantified and explored by the proposed novel method. T2 - Frontiers in Neuroscience T1 - Generalized Poincare Plots-A New Method for Evaluation of Regimes in Cardiac Neural Control in Atrial Fibrillation and Healthy Subjects VL - 10 SP - 38 DO - 10.3389/fnins.2016.00038 ER -
@article{ author = "Platiša, Mirjana M. and Bojić, Tijana and Pavlović, Siniša U. and Radovanovic, Nikola N. and Kalauzi, Aleksandar", year = "2016", abstract = "Classical Poincare plot is a standard way to measure nonlinear regulation of cardiovascular control. In our work we propose a generalized form of Poincare plot where we track correlation between the duration of j preceding and k next RR intervals. The investigation was done in healthy subjects and patients with atrial fibrillation, by varying j,k LT = 100. In cases where j = k, in healthy subjects the typical pattern was observed by paths that were substituting scatterplots and that were initiated and ended by loops of Poincare plot points. This was not the case for atrial fibrillation patients where Poincare plot had a simple scattered form. More, a typical matrix of Pearsons correlation coefficients, r(j,k), showed different positions of local maxima, depending on the subjects health condition. In both groups, local maxima were grouped into four clusters which probably determined specific regulatory mechanisms according to correlations between the duration of symmetric and asymmetric observed RR intervals. We quantified matrices degrees of asymmetry and found that they were significantly different: distributed around zero in healthy, while being negative in atrial fibrillation. Also, Pearsons coefficients were higher in healthy than in atrial fibrillation or in signals with reshuffled intervals. Our hypothesis is that by this novel method we can observe heart rate regimes typical for baseline conditions and defense reaction in healthy subjects. These data indicate that neural control mechanisms of heart rate are operating in healthy subjects in contrast with atrial fibrillation, identifying it as the state of risk for stress-dependent pathologies. Regulatory regimes of heart rate can be further quantified and explored by the proposed novel method.", journal = "Frontiers in Neuroscience", title = "Generalized Poincare Plots-A New Method for Evaluation of Regimes in Cardiac Neural Control in Atrial Fibrillation and Healthy Subjects", volume = "10", pages = "38", doi = "10.3389/fnins.2016.00038" }
Platiša, M. M., Bojić, T., Pavlović, S. U., Radovanovic, N. N.,& Kalauzi, A.. (2016). Generalized Poincare Plots-A New Method for Evaluation of Regimes in Cardiac Neural Control in Atrial Fibrillation and Healthy Subjects. in Frontiers in Neuroscience, 10, 38. https://doi.org/10.3389/fnins.2016.00038
Platiša MM, Bojić T, Pavlović SU, Radovanovic NN, Kalauzi A. Generalized Poincare Plots-A New Method for Evaluation of Regimes in Cardiac Neural Control in Atrial Fibrillation and Healthy Subjects. in Frontiers in Neuroscience. 2016;10:38. doi:10.3389/fnins.2016.00038 .
Platiša, Mirjana M., Bojić, Tijana, Pavlović, Siniša U., Radovanovic, Nikola N., Kalauzi, Aleksandar, "Generalized Poincare Plots-A New Method for Evaluation of Regimes in Cardiac Neural Control in Atrial Fibrillation and Healthy Subjects" in Frontiers in Neuroscience, 10 (2016):38, https://doi.org/10.3389/fnins.2016.00038 . .