Key result
This review provides an overview of the intrinsic features of heart rate variability signals and the most promising non-linear measures for clinical diagnostic and prognostic applications.
Why the study?
Efficient and adequate tools for analyzing complex and non-stationary heart rate variability signals have been a great challenge for researchers.
This review provides an overview of nonlinear and scale-invariant measures for analyzing heart rate variability and their potential clinical diagnostic and prognostic applications.
Human heart rate fluctuates in a complex and non-stationary manner.Elaborating efficient and adequate tools for the analysis of such signals has been a great challenge for the researchers during last decades.Here, an overview of the main research results in this field is given.The following question are addressed: (a) what are the intrinsic features of the heart rate variability signal; (b) what are the most promising non-linear measures, bearing in mind clinical diagnostic and prognostic applications.
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Jaan Kalda (2004) conducted a review in Heart rate variability. Nonlinear and scale-invariant analysis was evaluated. This review provides an overview of the intrinsic features of heart rate variability signals and the most promising non-linear measures for clinical diagnostic and prognostic applications.
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