Short- and long-term joint symbolic dynamics of heart rate and blood pressure in dilated cardiomyopathy
Autor: | Alexander Schirdewan, Andreas Voss, V. Baier, Sandra Truebner, Mathias Baumert |
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Rok vydání: | 2005 |
Předmět: |
Cardiomyopathy
Dilated medicine.medical_specialty Time Factors Statistics as Topic Biomedical Engineering Symbolic dynamics Blood Pressure Heart Rate Internal medicine Heart rate medicine Heart rate variability Humans In patient Computer Simulation Diagnosis Computer-Assisted Models Statistical medicine.diagnostic_test business.industry Models Cardiovascular Dilated cardiomyopathy Middle Aged medicine.disease Term (time) Blood pressure Data Interpretation Statistical cardiovascular system Cardiology business Electrocardiography |
Zdroj: | IEEE transactions on bio-medical engineering. 52(12) |
ISSN: | 0018-9294 |
Popis: | Autonomic cardiovascular control involves complex interactions of heart rate and blood pressure. In patients with dilated cardiomyopathy (DCM), this control is impaired and parameters for its quantification might be of prognostic importance. In this paper, we introduce methods based on joint symbolic dynamics (JSD) for the enhanced analysis of heart rate and blood pressure interactions. To assess the coarse-grained dynamics beat-to-beat changes of heart rate and blood pressure are encoded in symbol strings. Subsequently, the distribution properties of short symbol sequences (words) as well as the scaling properties of the whole symbol string are assessed. The comparison of joint symbolic heart rate and blood pressure dynamics in DCM (n = 75) with those in healthy controls (n = 75) showed significant changes. Both, the distribution of words and the scaling properties indicate a loss in heart rate dynamics associated with blood pressure regulation in DCM. In conclusion, the analyses of short- and long-term JSDs provide insights into complex physiological heart rate and blood pressure interactions and furthermore reveal patho-physiological cardiovascular control in DCM. |
Databáze: | OpenAIRE |
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