USER'S GUIDE - Biosignal Analysis and Medical Imaging Group

More documents

Recommendations

Info

Chapter 1OverviewThe Kubios heart rate variability (HRV) analysis software 1 is developed by the BiosignalAnalysis and Medical Imaging Group at the Department of Physics, University of Kuopio,Kuopio, Finland. 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.) and was compiled to a deployablestandalone application with the MATLAB R Compiler 4.2. The MATLAB R ComponentRuntime (MCR) is required for running Kubios HRV Analysis.Kubios HRV analysis is an advanced tool for studying the variability of heart beatintervals. Due to its wide variety of different analysis options and the easy to use interface,the software is suitable for researchers and 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-andfrequency-domainvariables of HRV. The frequency-domain variables being calculated for both nonparametric(Fourier transform based) and 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 and sample entropies,and correlation dimension. Furthermore, the software also includes time-varyinganalysis options. For example, the time-varying changes in all the time- and frequencydomainvariables are supported. The variation of the frequency-domain variables is obtainedthrough time-varying spectrum estimation for which the commonly used spectrogram andthe statistically sophisticated Kalman smoother methods are available.In addition to the usability of the program user interface, attention has also been paid inthe presentation and saving of the analysis results. On the one hand, 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 hand, 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 and The MathWorks, Inc.4
1.1. System requirements 51.1 System requirementsThe system requirements given below should be considered as recommended system requirements.The software may work also with lower system specifications, but will probablyfunction slower or with reduced usability.• Microsoft R Windows XP/2000 operating system• 1 GHz or higher Intel R compatible 32-bit (x86) processor• 256 MB of RAM (512 MB or higher recommended)• Desktop resolution of 1024×768 or higher• The MATLAB R Component Runtime (version 7.2)• The Kubios HRV Analysis will require about 10 MB and the MATLAB R ComponentRuntime about 230 MB of hard-disk space.1.2 InstallationKubios HRV Analysis was developed using MATLAB R 7.0.4 (R14SP2) and compiled to adeployable standalone Windows application with the MATLAB R Compiler 4.2. Therefore,the MATLAB R Component Runtime (MCR) needs to be installed for Kubios HRV Analysis.1. Make sure that you have administrator rights and run the Kubios HRV Analysis installerfile. This will launch the setup wizard. To proceed with the installation clickthe Next button, or click the Cancel button to exit installation.Kubios HRV Analysisversion 2.0 betaBiosignal Analysis and Medical Imaging GroupDepartment of PhysicsUniversity of Kuopio, FINLAND
Page 3: 4.3.2 Report sheet . . . . . . . .
Page 7: 1.2. Installation 74. Next, select
Page 10 and 11: 1.2. Installation 1010. The MATLAB
Page 12 and 13: 1.2. Installation 1214. When the in
Page 14 and 15: 1.4. Software home page 14• Delet
Page 16 and 17: Chapter 2Heart rate variabilityHear
Page 18: 2.2. Derivation of HRV time series
Page 21 and 22: 2.3. Preprocessing of HRV time seri
Page 23 and 24: 3.2. Frequency-domain methods 23In
Page 25 and 26: 3.3. Nonlinear methods 253.3.2 Appr
Page 27 and 28: 3.3. Nonlinear methods 27−0.6−0
Page 29 and 30: 3.3. Nonlinear methods 29987Time (m
Page 31 and 32: 3.5. Summary of HRV parameters 31Ta
Page 33 and 34: 4.1. Input data formats 33Figure 4.
Page 35 and 36: 4.2. The user interface 35Figure 4.
Page 37 and 38: 4.2. The user interface 37In additi
Page 43 and 44: 4.3. Saving the results 431. Softwa
Page 45 and 46: 4.3. Saving the results 45Figure 4.
Page 47 and 48: 4.4. Setting up the preferences 47F
Page 49 and 50: 4.4. Setting up the preferences 49F
Page 51 and 52: Chapter 5Sample runsIn this chapter
Page 53 and 54: 5.1. Sample run 1: General analysis
Page 55 and 56:
5.1. Sample run 1: General analysis
Page 57 and 58:
5.2. Sample run 2: Time-varying ana
Page 59 and 60:
Appendix AFrequently asked question
Page 61 and 62:
61 Why do the power values of Kubio
Page 63 and 64:
References[1] V.X. Afonso. ECG QRS
Page 65 and 66:
References 65[28] J. Mateo and P. L
show all

USER'S GUIDE - Biosignal Analysis and Medical Imaging Group

Create successful ePaper yourself

Delete template?

Save as template?