Review article
Heart rate variability: from bench to bedside

https://doi.org/10.1016/j.ejim.2004.06.016Get rights and content

Abstract

Power spectrum analysis of cardiovascular signal variability, and in particular of the RR period (heart rate variability, HRV), is a widely used methodology for investigating autonomic neural regulation in health and disease that can quantify the sympathovagal balance modulating the sinus node pacemaker. In some cases, it can also quantify the neural regulation of other organs or apparatuses. However, use of the correct methodology is crucial to extract the information embedded in the frequency domain. In numerous abnormal conditions, such as essential arterial hypertension, acute myocardial infarction and heart failure, the sympathovagal balance may be altered in basal conditions. However, a reduced responsiveness to an excitatory stimulus is the most common feature that characterizes numerous pathophysiological states. The attenuation of an oscillatory pattern can also reflect an altered target function, thus providing important prognostic markers. The general features of this approach correspond well to the needs of an internist attempting to envisage the involvement of the whole organism in a disease process.

Introduction

There is a strange paradox in the current interpretation of the role of neural mechanisms. In physiological conditions, when the organism is working perfectly, neural and autonomic regulation is considered of paramount importance. On the other hand, disease states are usually analyzed at the level of organ disease (a concept largely influenced by Morgagni during the 18th century), cellular disease (pioneered by Virchow a century later), or molecular disease (first introduced by Pauling in 1949, when he described hemoglobin S). Surprisingly, abnormal neural control has been disregarded as a mechanism participating in a disease process, suggesting that science considers disease states to be denervated entities. This conceptual discontinuity is hard to accept, given the continuum that often links physiology and pathophysiology. A possible explanation for the disregard of neural mechanisms is that science often ignores what cannot be measured. This article will show that many diseases are indeed highly innervated entities and that visceral neural regulation is important to clinical medicine.

Section snippets

Conceptual background

The neural regulation of cardiac function is mainly determined on its efferent side by the interaction of sympathetic and vagal mechanisms. In most physiological conditions, the activation of either sympathetic or vagal outflow is accompanied by the inhibition of the other, so that there is a pivotal balance between them [1], [2], [3]. This reciprocal organization suggests that sympathetic excitation and simultaneous vagal inhibition, or vice versa, is required to either increase or decrease

Methodology

The analysis of heart rate variability (HRV) is usually performed off-line with computerized techniques already described in several published articles [2], [9]. Time domain analysis, based on simple statistics such as the standard deviation of RR interval variation, does not provide any information on the time structure or periodicity of the data. On the other hand, frequency domain analysis can represent the signal series as the sum of its sinusoidal components with their different

Practical aspects

The use of spectral analysis to detect hidden rhythmic patterns ideally requires stationary conditions unknown in biology. Thus, a practical compromise must be found between the length of event cycles (usually 200–500 cycles) and the optimal theoretical mathematical requirements [2], [5]. In particular, the influence of the respiratory movements must be allowed for [2], [5], [12] (Fig. 3). If the frequency of respiration is close to that of the LF rhythm, the HF and LF components can merge

Physiological studies

There is now considerable frequency domain spectral analysis research data to support the following assumptions:

  • (1)

    Heart rate variability related to respiratory rhythm is a marker of vagal modulation and can be defined by the HF spectral component [2], [8], [9].

  • (2)

    The LF component of RR (in nu) and SAP variabilities (corresponding to vasomotor waves [16]) is a marker of sympathetic modulation [2], [5], [9].

  • (3)

    There is a reciprocal relationship between the LF and HF components, which corresponds to the

Clinical uses

In spite of the increasingly widespread use of spectral methodology and a Task Force report [9], true standard normal and abnormal values are not available. This is not all that surprising since the dynamic equilibrium of sympathovagal balance and its range of excursions can be extremely wide. It is also affected by a great variety of factors such as age, gender, lifestyle, physical fitness, as well as several pathophysiological conditions. Despite this lack of standardization, the finding

Conclusions

It has been soundly demonstrated that with a totally non-invasive methodology, which is clearly a great advantage, it is possible to assess the state of sympathovagal balance modulating heart period. Although such a balance may sometimes be regarded as a vague relationship, its heuristic value has been proven to be quite relevant.

With such an approach, it is possible to quantify the information embedded in cardiovascular rhythmicity. However, it should be clear that this information reflects an

Acknowledgements

This work was supported in part by the COFIN 2003 and FIRST 2003 Grants and by Italian Space Agency Grant N. 336/2000.

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