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Agnes Schumann

Publications -  6
Citations -  261

Agnes Schumann is an academic researcher. The author has contributed to research in topics: Heart rate variability & Heart rate. The author has an hindex of 5, co-authored 6 publications receiving 253 citations.

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Journal ArticleDOI

Baroreflex sensitivity, heart rate, and blood pressure variability in normal pregnancy

TL;DR: This complex assessment of autonomic cardiovascular regulation has shown that the parameters tested are stable in the second half of normal pregnancy, and might have the potential to be excellent indicators of pathophysiologic conditions.
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Postextrasystolic regulation patterns of blood pressure and heart rate in patients with idiopathic dilated cardiomyopathy.

TL;DR: The baroreflex response initiated by the low pressure amplitude of the PVC was suppressed in IDC patients due to the augmented potentiation of the first postextrasystolic blood pressure, and the pulsus alternans phenomenon seems to be triggered by a PVC.
Journal ArticleDOI

Heart rate variability before the onset of ventricular tachycardia: differences between slow and fast arrhythmias.

TL;DR: It is found that the onset of slow VT was characterized by a significant increase in heart rate, whereas fast VT was triggered during decreased heart rates, compared to the control series.
Journal ArticleDOI

Potential of feature selection methods in heart rate variability analysis for the classification of different cardiovascular diseases

TL;DR: Heart rate variability analysis was applied to characterize patients suffering from coronary heart disease, dilated cardiomyopathy and patients who had survived an acute myocardial infarction, finding that one specific parameter set was applicable for all tasks, where diseased and healthy subjects have to be distinguished, without significant reduction in performance.
Book ChapterDOI

Entropy Measures in Heart Rate Variability Data

TL;DR: The study shows that the entropy measures discussed here are useful tools to estimate the individual risk of patients suffering from heart failure and demonstrates that the combination of different heart rate variability parameters leads to a better classification of cardiac diseases than single parameters.