Beat-to-beat blood pressure variability monitoring using linear and nonlinear parameters detects early and subtle differences in various disease states independent of or superior to mean blood pressure.
Beat-to-beat blood pressure variability monitoring provides valuable pathophysiological information beyond mean blood pressure and may be useful for early disease detection in routine clinical practice.
Blood pressure (BP) varies on the long, short and very-short term. Owing to the hidden physiological and pathological information present in BP time-series, increasing interest has been given to the study of continuous, beat-to-beat BP variability (BPV) using invasive and noninvasive methods. Different linear and nonlinear parameters of variability are employed in the characterization of BP signals in health and disease. Although linear parameters of beat-to-beat BPV are mainly measures of dispersion, such as standard deviation (SD), nonlinear parameters of BPV quantify the degree of complexity/irregularity- using measures of entropy or self-similarity/correlation. In this review, we summarize the value of linear and nonlinear parameters in reflecting different information about the pathophysiology of changes in beat-to-beat BPV independent of or superior to mean BP. We then provide a comparison of the relative power of linear and nonlinear parameters of beat-to-beat BPV in detecting early and subtle differences in various states. The practical advantage and utility of beat-to-beat BPV monitoring support its incorporation into routine clinical practices.
Bakkar et al. (Mon,) conducted a review in Cardiovascular risk. Beat-to-beat blood pressure variability (BPV) was evaluated. Beat-to-beat blood pressure variability monitoring using linear and nonlinear parameters detects early and subtle differences in various disease states independent of or superior to mean blood pressure.
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