Variables

4291 variables.
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Module Label Name Description Type
Heart failure (CHRIS baseline) x0hfnoteb Heart failure notes elaborated Heart failure notes elaborated Character
Heart failure (CHRIS baseline) x0hfn4b Heart failure notes elaborated (heart failure) Heart failure notes elaborated (heart failure) Character
Heart failure (CHRIS baseline) x0hfn3b Heart failure notes elaborated (ecg) Heart failure notes elaborated (ECG) Character
Heart failure (CHRIS baseline) x0hfn2b Heart failure notes elaborated (diseases) Heart failure notes elaborated (diseases) Character
Heart failure (CHRIS baseline) x0hfn1b Heart failure notes elaborated (symptoms) Heart failure notes elaborated (symptoms) Character
Heart failure (CHRIS baseline) x0hf08d Heart failure (treated last 12 months) Were you treated for this within the last 12 months? Categorical
Heart failure (CHRIS baseline) x0hf08c Heart failure (last 12 months) Have you had a heart failure within the last 12 months? Categorical
Heart failure (CHRIS baseline) x0hf08b Heart failure (age at diagnosis) In which year was it diagnosed for the first time? (age) Integer
Heart failure (CHRIS baseline) x0hf08 Heart failure (diagnosed) Has a doctor ever told you that you have a heart failure? Categorical
Heart failure (CHRIS baseline) x0hf07d2 ECG: Conspicuous findings elaborated (free text) Which? (elaborated) Character
Heart failure (CHRIS baseline) x0hf07c ECG: Conspicuous findings Where there conspicuous findings? Categorical
Heart failure (CHRIS baseline) x0hf07b ECG (age) Do you remember in which year the ECG showed conspicuous findings for the first time? (age) Integer
Heart failure (CHRIS baseline) x0hf07 ECG Has a doctor ever performed an ECG on you (except surgical preparation or sport competitions)? Categorical
Heart failure (CHRIS baseline) x0hf06a2 Heart defect elaborated (description/free text) Describe the problem as accurately as possible (elaborated) Character
Heart failure (CHRIS baseline) x0hf06 Heart defect Have you ever been told that you have a heart defect (as a child)? Categorical
Heart failure (CHRIS baseline) x0hf05c2 Myocardial disease elaborated (description/free text) Describe the disease as accurately as possible (elaborated) Character
Heart failure (CHRIS baseline) x0hf05b Myocardial disease (since) Since when? (age) Integer
Heart failure (CHRIS baseline) x0hf05 Myocardial disease Do you have a myocardial disease? (e.g. hypertrophic cardiomyopathy) Categorical
Heart failure (CHRIS baseline) x0hf04c2 Myocarditis elaborated (description/free text) Describe the disease as accurately as possible (elaborated) Character
Heart failure (CHRIS baseline) x0hf04b Myocarditis (since) Since when? (age) Integer
Heart failure (CHRIS baseline) x0hf04 Myocarditis Do you have myocarditis? Categorical
Heart failure (CHRIS baseline) x0hf03b Swollen legs/water in the legs (since) Since when? (age) Integer
Heart failure (CHRIS baseline) x0hf03 Swollen legs/water in the legs Do you often have swollen legs, because of 'water in the legs'? Categorical
Heart failure (CHRIS baseline) x0hf02b Pulmonary edema (since) Since when? (age) Integer
Heart failure (CHRIS baseline) x0hf02 Pulmonary edema Do you have 'water in the lung' (pulmonary edema)? Categorical
Heart failure (CHRIS baseline) x0hf01b Dyspnea/shortness of breath (since) Since when? (age) Integer
Heart failure (CHRIS baseline) x0hf01 Dyspnea/shortness of breath Do you have shortness of breath during exercise e.g. when climbing stairs? Categorical
Heart rate variability (CHRIS baseline) x0ec283t MSE (t=20) MSE (t=20): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 20 Float
Heart rate variability (CHRIS baseline) x0ec283s MSE (t=19) MSE (t=19): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 19 Float
Heart rate variability (CHRIS baseline) x0ec283r MSE (t=18) MSE (t=18): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 18 Float
Heart rate variability (CHRIS baseline) x0ec283q MSE (t=17) MSE (t=17): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 17 Float
Heart rate variability (CHRIS baseline) x0ec283p MSE (t=16) MSE (t=16): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 16 Float
Heart rate variability (CHRIS baseline) x0ec283o MSE (t=15) MSE (t=15): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 15 Float
Heart rate variability (CHRIS baseline) x0ec283n MSE (t=14) MSE (t=14): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 14 Float
Heart rate variability (CHRIS baseline) x0ec283m MSE (t=13) MSE (t=13): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 13 Float
Heart rate variability (CHRIS baseline) x0ec283l MSE (t=12) MSE (t=12): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 12 Float
Heart rate variability (CHRIS baseline) x0ec283k MSE (t=11) MSE (t=11): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 11 Float
Heart rate variability (CHRIS baseline) x0ec283j MSE (t=10) MSE (t=10): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 10 Float
Heart rate variability (CHRIS baseline) x0ec283i MSE (t=9) MSE (t=9): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 9 Float
Heart rate variability (CHRIS baseline) x0ec283h MSE (t=8) MSE (t=8): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 8 Float
Heart rate variability (CHRIS baseline) x0ec283g MSE (t=7) MSE (t=7): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 7 Float
Heart rate variability (CHRIS baseline) x0ec283f MSE (t=6) MSE (t=6): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 6 Float
Heart rate variability (CHRIS baseline) x0ec283e MSE (t=5) MSE (t=5): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 5 Float
Heart rate variability (CHRIS baseline) x0ec283d MSE (t=4) MSE (t=4): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 4 Float
Heart rate variability (CHRIS baseline) x0ec283c MSE (t=3) MSE (t=3): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 3 Float
Heart rate variability (CHRIS baseline) x0ec283b MSE (t=2) MSE (t=2): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 2 Float
Heart rate variability (CHRIS baseline) x0ec283a MSE (t=1) MSE (t=1): Multi Scale Entropy, extension of SampEn to multiple time scales, here calculated for time scale factor equal to 1 Float
Heart rate variability (CHRIS baseline) x0ec282 RPA Shannon Entropy RPA Shannon Entropy: it is the entropy of the probability distribution of the diagonal line lengths Float
Heart rate variability (CHRIS baseline) x0ec281 RPA 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 Float
Heart rate variability (CHRIS baseline) x0ec280 RPA 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 Integer
Heart rate variability (CHRIS baseline) x0ec279 RPA 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 Float
Heart rate variability (CHRIS baseline) x0ec278 RPA 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 Float
Heart rate variability (CHRIS baseline) x0ec277 RPA 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 Float
Heart rate variability (CHRIS baseline) x0ec276 DFA alpha2 DFA alpha2: Detrended Fluctuation Analysis measures the correlation within the signal. Slope alpha2 characterizes long-term fluctuations or the RR series Float
Heart rate variability (CHRIS baseline) x0ec275 DFA alpha1 DFA alpha1: Detrended Fluctuation Analysis measures the correlation within the signal. Slope alpha1 characterizes short-term fluctuations or the RR series Float
Heart rate variability (CHRIS baseline) x0ec274 Correlation 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 Float
Heart rate variability (CHRIS baseline) x0ec273 Sample Entropy Sample Entropy: similar to ApEn, but it presents some differences in the calculation Float
Heart rate variability (CHRIS baseline) x0ec272 Approximate 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 Float
Heart rate variability (CHRIS baseline) x0ec271 EnoughData (flag for nonlinear analysis) EnoughData: boolean variable to flag whether the nonlinear analysis was carried out or not Boolean
Heart rate variability (CHRIS baseline) x0ec270 Poincare SD2/SD1 Poincare SD2/SD1: ratio between SD2 and SD1 Float
Heart rate variability (CHRIS baseline) x0ec269 Poincare SD2 Poincare SD2: in Poincare plot, SD2 represents the standard deviation along the line-of-identity Float
Heart rate variability (CHRIS baseline) x0ec268 Poincare SD1 Poincare SD1: in Poincare plot, SD1 represents the standard deviation perpendicular to the line-of-identity Float
Heart rate variability (CHRIS baseline) x0ec267 EDR (ECG Derived Respiration) EDR (ECG Derived Respiration), expressed in Hz Float
Heart rate variability (CHRIS baseline) x0ec266 LF/HF power (AR) Ratio between LF and HF band powers, with PSD estimated using parametric autoregressive (AR) modeling method Float
Heart rate variability (CHRIS baseline) x0ec265 HF 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. Float
Heart rate variability (CHRIS baseline) x0ec264 LF 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 Float
Heart rate variability (CHRIS baseline) x0ec263 HF power (%) (AR) Relative power of HF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2 Float
Heart rate variability (CHRIS baseline) x0ec262 LF power (%) (AR) Relative power of LF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2 Float
Heart rate variability (CHRIS baseline) x0ec261 VLF power (%) (AR) Relative power of VLF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2 Float
Heart rate variability (CHRIS baseline) x0ec260 logtot power (AR) Natural logarithm transformed values of total spectrum power, with PSD estimated using parametric autoregressive (AR) modeling method Float
Heart rate variability (CHRIS baseline) x0ec259 logHF power (AR) Natural logarithm transformed values of HF band, with PSD estimated using parametric autoregressive (AR) modeling method Float
Heart rate variability (CHRIS baseline) x0ec258 logLF power (AR) Natural logarithm transformed values of LF band, with PSD estimated using parametric autoregressive (AR) modeling method Float
Heart rate variability (CHRIS baseline) x0ec257 logVLF power (AR) Natural logarithm transformed values of VLF band, with PSD estimated using parametric autoregressive (AR) modeling method Float
Heart rate variability (CHRIS baseline) x0ec256 total power (AR) Absolute power of the total spectrum, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2 Float
Heart rate variability (CHRIS baseline) x0ec255 HF power (AR) Absolute power of HF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2 Float
Heart rate variability (CHRIS baseline) x0ec254 LF power (AR) Absolute power of LF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2 Float
Heart rate variability (CHRIS baseline) x0ec253 VLF power (AR) Absolute power of VLF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2 Float
Heart rate variability (CHRIS baseline) x0ec252 HF peak (AR) High Frequency (HF) band peak frequency, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in Hz Float
Heart rate variability (CHRIS baseline) x0ec251 LF peak (AR) Low Frequency (LF) band peak frequency, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in Hz Float
Heart rate variability (CHRIS baseline) x0ec250 VLF peak (AR) Very Low Frequency (VLF) band peak frequency, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in Hz Float
Heart rate variability (CHRIS baseline) x0ec249 LF-HF power (Welch) Ratio between LF and HF band powers, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method Float
Heart rate variability (CHRIS baseline) x0ec248 HF 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. Float
Heart rate variability (CHRIS baseline) x0ec247 LF 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 Float
Heart rate variability (CHRIS baseline) x0ec246 HF power (%) (Welch) Relative power of HF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in ms^2 Float
Heart rate variability (CHRIS baseline) x0ec245 LF power (%) (Welch) Relative power of LF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in ms^2 Float
Heart rate variability (CHRIS baseline) x0ec244 VLF power (%) (Welch) Relative power of VLF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in ms^2 Float
Heart rate variability (CHRIS baseline) x0ec243 logtot power (Welch) Natural logarithm transformed values of total spectrum power, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method Float
Heart rate variability (CHRIS baseline) x0ec242 logHF power (Welch) Natural logarithm transformed values of HF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method Float
Heart rate variability (CHRIS baseline) x0ec241 logLF power (Welch) Natural logarithm transformed values of LF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method Float
Heart rate variability (CHRIS baseline) x0ec240 logVLF power (Welch) Natural logarithm transformed values of VLF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method Float
Heart rate variability (CHRIS baseline) x0ec239 total 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 Float
Heart rate variability (CHRIS baseline) x0ec238 HF power (Welch) Absolute power of HF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in ms^2 Float
Heart rate variability (CHRIS baseline) x0ec237 LF power (Welch) Absolute power of LF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in ms^2 Float
Heart rate variability (CHRIS baseline) x0ec236 VLF power (Welch) Absolute power of VLF band, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in ms^2 Float
Heart rate variability (CHRIS baseline) x0ec235 HF peak (Welch) High Frequency (HF) band peak frequency, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in Hz Float
Heart rate variability (CHRIS baseline) x0ec234 LF peak (Welch) Low Frequency (LF) band peak frequency, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method, expressed in Hz Float
Heart rate variability (CHRIS baseline) x0ec233 VLF 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 Float
Heart rate variability (CHRIS baseline) x0ec232 DCmod DCmod: modified Deceleration Capacity, computed according to the formula given in Nasario-Junior et al. 2014, expressed in milliseconds Float
Heart rate variability (CHRIS baseline) x0ec231 ACmod ACmod: modified Acceleration Capacity, computed according to the formula given in Nasario-Junior et al. 2014, expressed in milliseconds Float
Heart rate variability (CHRIS baseline) x0ec230 DC 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 Float
4291 variables.