Heart rate variability (CHRIS baseline)
md_x0_0113
Indicators of heart rate variability (HRV) derived from the 20-minute resting ECG performed during the visit at the study center using commercial HRV analysis software
total length of the ECG
Total length of the ECG recording, expressed in seconds
x0ec202effective length
Effective length of the ECG which is used for HRV analysis, expressed in seconds
x0ec203effective length (%)
Effective data length, expressed as percentage of the total length
x0ec204segment start
Start point of the data segment which is used for HRV analysis, expressed in seconds
x0ec205asegment end
End point of the data segment which is used for HRV analysis, expressed in seconds
x0ec205blength RR series
Length of the RR series
x0ec206t_RR start
Time point of the first beat in the RR series, expressed in seconds
x0ec207at_RR end
Time point of the last beat in the RR series, expressed in seconds
x0ec207btotal number of beats
Total number of beats
x0ec208number of corrected beats
Number of corrected beats
x0ec209number of corrected beats (%)
Number of corrected beats, expressed as percentage of the total number of beats
x0ec210number of noise segments
Number of noise segments
x0ec211noise segments
List of all detected noise segments, expressed as tuple (start point of the noisy region, end point of the noisy region), expressed in seconds
x0ec212PNS index
PNS index
x0ec213PNS param: nMeanRR
First parameter used for PNS index calculation: MeanRR normalized by scaling with the standard deviations of normal population
x0ec213aPNS param: nRMSSD
Second parameter used for PNS index calculation: RMSSD normalized by scaling with the standard deviations of normal population
x0ec213bPNS param: nSD1
Third parameter used for PNS index calculation: SD1 normalized by scaling with the standard deviations of normal population
x0ec213cSNS index
SNS index
x0ec214SNS param: nMeanHR
First parameter used for SNS index calculation: MeanHR normalized by scaling with the standard deviations of normal population
x0ec214aSNS param: nSI
Second parameter used for SNS index calculation: SI normalized by scaling with the standard deviations of normal population
x0ec214bSNS param: nSD2
Third parameter used for SNS index calculation: SD2 normalized by scaling with the standard deviations of normal population
x0ec214cmean RR
Mean value of RR intervals, expressed in milliseconds
x0ec215SDNN
SDNN: Standard deviation of RR intervals, expressed in milliseconds
x0ec216RMSSD
RMSSD: Square root of the mean squared differences between successive RR intervals, expressed in milliseconds
x0ec217NN50
NN50: Number of successive RR interval pairs that differ more than 50 ms
x0ec218pNN50
pNN50: NN50 divided by the total number of RR intervals
x0ec219SDANN
SDANN: Standard deviation of the averages of RR intervals in 5-min segments, expressed in milliseconds
x0ec220SDNNI
SDNNI: Mean of the standard deviations of RR intervals in 5-min segments, expressed in milliseconds
x0ec221mean HR
Mean heart rate, expressed in beats per minute
x0ec222std HR
Standard deviation of heart rate
x0ec223min HR
Minimum HR computed using N=5 beat moving average
x0ec224max HR
Maximum HR computed using N=5 beat moving average
x0ec225SI (Stress Index)
SI: Baevsky stress index, computed according to the formula given in Baevsky 2009, is a geometric measure of HRV reflecting cardiovascular system stress
x0ec226HRV triangular index
HRV triangular index: integral of the histogram (i.e. total number of RR intervals) divided by the height of the histogram computed with a bin width of 1/128 seconds
x0ec227TINN
TINN: baseline width of the RR histogram evaluated through triangular interpolation
x0ec228AC
AC: Acceleration Capacity captures the shortening of RR interval within 2-4 successive beats. It is computed as a four point difference from the acceleration PRSA signal (phase-rectified signal averaging), expressed in milliseconds
x0ec229DC
DC: Deceleration Capacity is a measure of cardiac parasympathetic modulation as it captures the lengthening of RR interval within 2-4 successive beats. It is computed as a four point difference from the deceleration PRSA signal (phase-rectified signal averaging), expressed in milliseconds
x0ec230ACmod
ACmod: modified Acceleration Capacity, computed according to the formula given in Nasario-Junior et al. 2014, expressed in milliseconds
x0ec231DCmod
DCmod: modified Deceleration Capacity, computed according to the formula given in Nasario-Junior et al. 2014, expressed in milliseconds
x0ec232VLF peak (Welch)
Very Low Frequency (VLF) band peak frequency, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in Hz
x0ec233LF peak (Welch)
Low Frequency (LF) band peak frequency, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in Hz
x0ec234HF peak (Welch)
High Frequency (HF) band peak frequency, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in Hz
x0ec235VLF power (Welch)
Absolute power of VLF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in ms^2
x0ec236LF power (Welch)
Absolute power of LF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in ms^2
x0ec237HF power (Welch)
Absolute power of HF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in ms^2
x0ec238total power (Welch)
Absolute power of the total spectrum, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in ms^2
x0ec239logVLF power (Welch)
Natural logarithm transformed values of VLF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method
x0ec240logLF power (Welch)
Natural logarithm transformed values of LF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method
x0ec241logHF power (Welch)
Natural logarithm transformed values of HF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method
x0ec242logtot power (Welch)
Natural logarithm transformed values of total spectrum power, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method
x0ec243VLF power (%) (Welch)
Relative power of VLF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in ms^2
x0ec244LF power (%) (Welch)
Relative power of LF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in ms^2
x0ec245HF power (%) (Welch)
Relative power of HF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in ms^2
x0ec246LF power (n.u.) (Welch)
Power of LF band in normalised units, LF [n.u.] = LF [ms2] / (total power [ms2] - VLF [ms2]) x 100%, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in n.u
x0ec247HF power (n.u.) (Welch)
Power of HF band in normalised units, HF [n.u.] = LF [ms2] / (total power [ms2] - VLF [ms2]) x 100%, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in n.u.
x0ec248LF-HF power (Welch)
Ratio between LF and HF band powers, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method
x0ec249VLF peak (AR)
Very Low Frequency (VLF) band peak frequency, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in Hz
x0ec250LF peak (AR)
Low Frequency (LF) band peak frequency, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in Hz
x0ec251HF peak (AR)
High Frequency (HF) band peak frequency, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in Hz
x0ec252VLF power (AR)
Absolute power of VLF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2
x0ec253LF power (AR)
Absolute power of LF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2
x0ec254HF power (AR)
Absolute power of HF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2
x0ec255total power (AR)
Absolute power of the total spectrum, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2
x0ec256logVLF power (AR)
Natural logarithm transformed values of VLF band, with PSD estimated using parametric autoregressive (AR) modeling method
x0ec257logLF power (AR)
Natural logarithm transformed values of LF band, with PSD estimated using parametric autoregressive (AR) modeling method
x0ec258logHF power (AR)
Natural logarithm transformed values of HF band, with PSD estimated using parametric autoregressive (AR) modeling method
x0ec259logtot power (AR)
Natural logarithm transformed values of total spectrum power, with PSD estimated using parametric autoregressive (AR) modeling method
x0ec260VLF power (%) (AR)
Relative power of VLF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2
x0ec261LF power (%) (AR)
Relative power of LF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2
x0ec262HF power (%) (AR)
Relative power of HF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2
x0ec263LF power (n.u.) (AR)
Power of LF band in normalised units, LF [n.u.] = LF [ms2] / (total power [ms2] - VLF [ms2]) x 100%, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in n.u
x0ec264HF power (n.u.) (AR)
Power of HF band in normalised units, HF [n.u.] = LF [ms2] / (total power [ms2] - VLF [ms2]) x 100%, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in n.u.
x0ec265LF/HF power (AR)
Ratio between LF and HF band powers, with PSD estimated using parametric autoregressive (AR) modeling method
x0ec266EDR (ECG Derived Respiration)
EDR (ECG Derived Respiration), expressed in Hz
x0ec267Poincare SD1
Poincare SD1: in Poincare plot, SD1 represents the standard deviation perpendicular to the line-of-identity
x0ec268Poincare SD2
Poincare SD2: in Poincare plot, SD2 represents the standard deviation along the line-of-identity
x0ec269Poincare SD2/SD1
Poincare SD2/SD1: ratio between SD2 and SD1
x0ec270EnoughData (flag for nonlinear analysis)
EnoughData: boolean variable to flag whether the nonlinear analysis was carried out or not
x0ec271Approximate Entropy
Approximate Entropy: measures the complexity or irregularity of the signal. Large values of ApEn indicate high irregularity and smaller values of ApEn more regular signal
x0ec272Sample Entropy
Sample Entropy: similar to ApEn, but it presents some differences in the calculation
x0ec273Correlation Dimension D2
Correlation Dimension D2: it is a method for measuring the complexity or strangeness of the RR series. This index is expected to give information on the minimum number of dynamic variables needed to model the underlying system
x0ec274DFA alpha1
DFA alpha1: Detrended Fluctuation Analysis measures the correlation within the signal. Slope alpha1 characterizes short-term fluctuations or the RR series
x0ec275DFA alpha2
DFA alpha2: Detrended Fluctuation Analysis measures the correlation within the signal. Slope alpha2 characterizes long-term fluctuations or the RR series
x0ec276RPA recurrence rate
RPA recurrence rate: Recurrence Plot Analysis is another approach for analyzing the complexity of the RR series, which consists in creating a symmetrical matrix of zeros and ones. The recurrence rate (REC) is defined as the ratio of ones and zeros in this RP matrix
x0ec277RPA determinism
RPA determinism: Recurrence Plot Analysis is another approach for analyzing the complexity of the RR series, which consists in creating a symmetrical matrix of zeros and ones. The determinism (DET) is defined as the percentage of recurrence points which form diagonal lines
x0ec278RPA divergence
RPA divergence: Recurrence Plot Analysis is another approach for analyzing the complexity of the RR series, which consists in creating a symmetrical matrix of zeros and ones. The divergence (DIV) is defined as the inverse of Lmax
x0ec279RPA Lmax
RPA Lmax: Recurrence Plot Analysis is another approach for analyzing the complexity of the RR series, which consists in creating a symmetrical matrix of zeros and ones. Lmax is maximum line length of the diagonal lines
x0ec280RPA Lmean
RPA Lmean: Recurrence Plot Analysis is another approach for analyzing the complexity of the RR series, which consists in creating a symmetrical matrix of zeros and ones. Lmean is the average diagonal line length
x0ec281RPA Shannon Entropy
RPA Shannon Entropy: it is the entropy of the probability distribution of the diagonal line lengths
x0ec282MSE (t=1)
MSE (t=1): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 1
x0ec283aMSE (t=2)
MSE (t=2): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 2
x0ec283bMSE (t=3)
MSE (t=3): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 3
x0ec283cMSE (t=4)
MSE (t=4): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 4
x0ec283dMSE (t=5)
MSE (t=5): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 5
x0ec283eMSE (t=6)
MSE (t=6): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 6
x0ec283fMSE (t=7)
MSE (t=7): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 7
x0ec283gMSE (t=8)
MSE (t=8): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 8
x0ec283hMSE (t=9)
MSE (t=9): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 9
x0ec283iMSE (t=10)
MSE (t=10): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 10
x0ec283jMSE (t=11)
MSE (t=11): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 11
x0ec283kCHRIS Study: HRV analysis
Main module documentation containing information about how data were cleaned, processed, and an overview of the variables within this module
application/pdf
740.4 KB
Kubios Software Users Guide
Kubios Software Users Guide
application/pdf
3.0 MB
Kubios settings
Table containing all the settings in Kubios software and their default values
application/pdf
47.6 KB