Ş.-C. MIRESCU*,**, S.W. HARDEN***
*Faculty of Biology and Geology, „Babeş-Bolyai” University, 5–7, Clinicilor Street, Cluj-Napoca
**Faculty of Medicine, “Iuliu Haţieganu” University of Medicine and Pharmacy, Cluj-Napoca
***Biomolecular Science Center, Burnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, Florida, USA
Abstract. Heart rate variability (HRV) is defined by the fluctuating time between normal sinus beats (RR intervals) and indicates modulation of the heart rate by the autonomic nervous system. Decreased variability parameters have been studied as markers of increased pathology and a predictor of morbidity and mortality in multiple medical disciplines. The aim of the study was to assess HRV by nonlinear dynamics parameters (Poincaré plot and entropy constants) in patients with recent myocardial infarction (MI). We analyzed two groups of patients: a test group of 12 patients with recent myocardial infarction and a control group of 12 healthy subjects. For each patient, a 7 minutes ECG signal was recorded and the nonlinear dynamics parameters were calculated. Strong visual differences were found between Poincaré plots of healthy subjects and MI patients. Also, most calculated nonlinear dynamics parameters were significantly lower in MI patients. In conclusion, MI affects nonlinear dynamics parameters, revealing a statistically significant decrease in HRV. Also, visual modifications of the Poincaré plot were found.
Key words: heart rate variability, nonlinear dynamics methods, Poincaré plot, recent myocardial infarction.
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