12.07.2015 Views

USER'S GUIDE - Biosignal Analysis and Medical Imaging Group

USER'S GUIDE - Biosignal Analysis and Medical Imaging Group

USER'S GUIDE - Biosignal Analysis and Medical Imaging Group

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Chapter 1OverviewThe Kubios heart rate variability (HRV) analysis software 1 is developed by the <strong>Biosignal</strong><strong>Analysis</strong> <strong>and</strong> <strong>Medical</strong> <strong>Imaging</strong> <strong>Group</strong> at the Department of Physics, University of Kuopio,Kuopio, Finl<strong>and</strong>. The software is a considerable extension to the previous version (version1.1) of the software described in [32]. The software has been programmed using MATLAB R7.0.4 Release 14 Service Pack 2 (The MathWorks, Inc.) <strong>and</strong> was compiled to a deployablest<strong>and</strong>alone application with the MATLAB R Compiler 4.2. The MATLAB R ComponentRuntime (MCR) is required for running Kubios HRV <strong>Analysis</strong>.Kubios HRV analysis is an advanced tool for studying the variability of heart beatintervals. Due to its wide variety of different analysis options <strong>and</strong> the easy to use interface,the software is suitable for researchers <strong>and</strong> clinicians with varying premises. The softwareis mainly designed for the analysis of normal human HRV, but should also be usable, e.g.,for animal researchers.The developed software includes all the commonlyusedtime-<strong>and</strong>frequency-domainvariables of HRV. The frequency-domain variables being calculated for both nonparametric(Fourier transform based) <strong>and</strong> parametric (autoregressive modeling based) spectrum estimates.In addition, the software calculates several nonlinear variables such as the Poincaréplot, recurrence plot analysis, detrended fluctuation analysis, approximate <strong>and</strong> sample entropies,<strong>and</strong> correlation dimension. Furthermore, the software also includes time-varyinganalysis options. For example, the time-varying changes in all the time- <strong>and</strong> frequencydomainvariables are supported. The variation of the frequency-domain variables is obtainedthrough time-varying spectrum estimation for which the commonly used spectrogram <strong>and</strong>the statistically sophisticated Kalman smoother methods are available.In addition to the usability of the program user interface, attention has also been paid inthe presentation <strong>and</strong> saving of the analysis results. On the one h<strong>and</strong>, the software generatestwo report sheets which include all the analysis results in a compact form. These reportsheets can be either printed or exported to various file formats including portable documentformat (PDF). On the other h<strong>and</strong>, the results can also be saved in an ASCII text file fromwhich they can be imported to a spreadsheet program such as Microsoft Excel R for furtherinspection.1 Kuopio University has only limited rights to the software. These limited rights are governed by a certainlicense agreement between Kuopio University <strong>and</strong> The MathWorks, Inc.4

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