USER'S GUIDE - Biosignal Analysis and Medical Imaging Group

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4.2. The user interface 38Figure 4.5: The printout of the ECG signal generated by the software.Kubios HRV Analysisversion 2.0 betaBiosignal Analysis and Medical Imaging GroupDepartment of PhysicsUniversity of Kuopio, FINLAND
4.2. The user interface 39Figure 4.6: The analysis options segment of the user interface.Figure 4.7: The results view segment of the user interface: time-domain results view selected.bottom left corner of the user interface. When unchecked, one or more changes to optionscan be made without updating breaks and when finished with changes the Apply buttoncan be pressed to update the results.The time-domain results view shown in Fig. 4.7 displays the time-domain variables in atable and the RR interval and heart rate histograms in the two axes. Most of the results arecalculated from the detrended RR series (if detrending is applied), but there are two obviousexceptions (i.e. mean RR interval and mean HR) which are marker with the ∗ symbol.The frequency-domain results view shown in Fig. 4.8 displays the results for both FFTand AR spectrum estimation methods. Both methods are applied to the detrended RRseries. The spectra of the two methods are presented in the two axes (FFT spectrum on theleft and AR spectrum on the right). The frequency axes of the spectra are fixed to rangefrom 0 Hz to the upper limit of HF band plus 0.1 Hz. Thus, for the default frequency bandsettings the frequency axis range is 0–0.5 Hz. The power axes of the spectra, on the otherhand, can be adjusted with the options on the upper left corner of the frequency-domainresults view. The power axes can be selected to have either common or separate upperKubios HRV Analysisversion 2.0 betaBiosignal Analysis and Medical Imaging GroupDepartment of PhysicsUniversity of Kuopio, FINLAND
Page 3 and 4: 4.3.2 Report sheet . . . . . . . .
Page 5 and 6: 1.1. System requirements 51.1 Syste
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: 4.2. The user interface 37In additi
Page 41 and 42: 4.2. The user interface 41Figure 4.
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

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