Quantitative Characterization of Heart Rate During Exercise

Heart Rate Variability and Cardiovascular Fitness: What We Know so Far

Fluctuation analysis in intervals between heartbeats provides important indices related to autonomic modulation of heart rate variability (HRV). These indices are considered predictors of morbidity and mortality as they are frequently altered in patients with chronic degenerative diseases, especially in those with cardiovascular and metabolic diseases. Similarly, a reduction in HRV is common with aging. In all cases, cardiovascular fitness is often reduced to below the predicted values. In turn, increases in cardiovascular fitness through regular physical exercise, especially aerobic exercise, represent an important therapeutic tool capable of promoting positive adjustments in cardiac autonomic modulation. These adjustments are characterized by reduced sympathetic modulatory influence and/or increased vagal modulatory influence on the heart, increasing the HRV. Therefore, several methodological tools have been used to assess the degree of impairment of autonomic modulation and the therapeutic effects of physical exercise. In contrast, establishment of strict protocols in experimental design is a main challenge in establishing HRV analysis as a robust parameter for evaluating cardiovascular homeostasis. Thus, this review aimed to contribute to the understanding of autonomic modulation of HRV and its relationship with cardiovascular fitness, highlighting the advances made thus far, the applicability of analysis tools, and the confounding factors observed frequently.

Autonomic cardiovascular control in pregnancy

Pregnancy is associated with profound adaptive changes in the maternal hemodynamics. Although the autonomic nervous system plays a central role in the adaptation of the cardiovascular system to various needs, its role in the adaptation of the circulation to the demands of pregnancy is poorly understood. This paper reviews the literature of autonomic cardiovascular control in pregnancy as studied with the cardiovascular reflex tests. A Medline search and manual cross-referencing for prior publications were used. All papers found on the hemodynamic effects of the Valsalva maneuver, the orthostatic test, the deep breathing test, the isometric handgrip test and maternal heart rate variability in pregnancy were reviewed and all publications that studied short-term changes in maternal heart rate and blood pressure were included. The beginning of pregnancy is associated with sympathetic reactivity, whereas the latter half of pregnancy is characterized by increased hemodynamic stability during orthostatic stress. The heart rate response to the Valsalva maneuver is blunted in mid-pregnancy, possibly due to changes in the baroreflex and increased maternal blood volume. Heart rate variability is significantly reduced in the second trimester. Cardiovascular reflex tests can be used to study drug effects on maternal circulation non-invasively.

Multivariate autoregressive modeling of autonomic cardiovascular control in neonatal lamb

The neonatal cardiovascular control system is a complicated interactive system which is under vigorous development at birth. From the measurement point of view the cardiovascular control is a closed-loop system. However, it can be examined on a beat-by-beat basis by analyzing circulatory-controlled variables with advanced signal analysis techniques. This paper proposes to use a multivariate autoregressive modeling technique in the analysis of several simultaneous physiological signals in order to examine interactions and inherent properties in the system. With the proposed multivariate autoregressive modeling technique, a signal is modeled as a linear combination of its own past and the past values of the other simultaneous signals plus a predictive error term of the model. The interactions in the system after the model identification are analyzed in frequency domain utilizing power spectrum estimates of the signals and signal contributions. The applicability of the proposed method was examined by a three-variable model between heart rate, blood pressure and respiration in the study of autonomic cardiovascular control in a chronic neonatal lamb model, in which the cardiovascular status was changed by using a beta-adrenergic autonomic nervous blockade. The study showed that the multivariate autoregressive modeling technique is a feasible technique in studying complicated interactions within the cardiovascular control system.