Why the study?
How can linear and nonlinear heart rate variability indexes be used in clinical practice to characterize patient state and predict risk?
How can linear and nonlinear heart rate variability indexes be used in clinical practice to characterize patient state and predict risk?
Heart rate variability indexes offer a noninvasive, real-time method to characterize a patient's physiologic or pathologic state and predict risk of complications.
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Hypothesis-generating for HRV risk stratification; prospective validation needed before clinical adoption.
Buccelletti et al. (2012) studied this question.
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