Abstract
Heart rate variability (HRV) is in part the result of numerous and complex rhythmical oscillations that can be extracted from time series with spectral methodology (1,2,3). This approach in the frequency domain has made it possible to indirectly explore the neural regulation of cardiovascular function and in particular to assess the changes in sympathovagal balance (2,3).
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Malliani, A., Porta, A., Montano, N., Guzzetti, S. (2000). Heart Rate Variability and Nonlinear Dynamics. In: Osterhues, HH., Hombach, V., Moss, A.J. (eds) Advances in Noninvasive Electrocardiographic Monitoring Techniques. Developments in Cardiovascular Medicine, vol 229. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-4090-4_41
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DOI: https://doi.org/10.1007/978-94-011-4090-4_41
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