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Variables
109 variables.
Search variables
---------
Activity tracker (CHRIS follow-up) (md_x1_0139)
Administrative data (CHRIS baseline) (md_x0_0022)
Administrative data (CHRIS follow-up) (md_x1_0022)
Affinity-based plasma proteomics (CHRIS baseline) (md_x0_0103)
Affinity-based plasma proteomics (Upcoming, CHRIS baseline) (md_up_0011)
Alcohol (CHRIS baseline) (md_x0_0037)
Alcohol (CHRIS follow-up) (md_x1_0037)
Anthropometry (CHRIS baseline) (md_x0_0012)
Anthropometry (CHRIS follow-up) (md_x1_0012)
Anthropometry form (CHRIS follow-up) (md_x1_0135)
Anxiety (CHRIS baseline) (md_x0_0098)
Anxiety (CHRIS follow-up) (md_x1_0098)
Arthritis (CHRIS follow-up) (md_x1_0130)
Autonomic system (CHRIS baseline) (md_x0_0089)
Autonomic system (CHRIS follow-up) (md_x1_0089)
Baseline information (CHRIS COVID-19) (md_cc_0002)
Biochemical traits (CHRIS COVID-19) (md_cc_0003)
Biochemical traits (CHRIS baseline) (md_x0_0002)
Biochemical traits (CHRIS follow-up) (md_x1_0002)
Birth (CHRIS baseline) (md_x0_0038)
Blood (CHRIS COVID-19) (ms_cc_0002)
Blood (CHRIS NAFLD) (ms_na_0002)
Blood (CHRIS PAREGEN1) (ms_p1_0002)
Blood (CHRIS PAREGEN2) (ms_p2_0002)
Blood (CHRIS baseline) (ms_x0_0002)
Blood (CHRIS follow-up) (ms_x1_0002)
Blood collection form (CHRIS baseline) (md_x0_0007)
Blood collection form (CHRIS follow-up) (md_x1_0007)
Blood drawing pain rating (CHRIS follow-up) (md_x1_0134)
Blood measurements (CHRIS baseline) (md_x0_0009)
Blood measurements (CHRIS follow-up) (md_x1_0009)
Blood pressure (CHRIS baseline) (md_x0_0013)
Blood pressure (CHRIS follow-up) (md_x1_0013)
Blood values (CHRIS baseline) (md_x0_0039)
Blood values (CHRIS follow-up) (md_x1_0039)
CHRIS COVID-19 data (md_cc_0001)
CHRIS COVID-19 samples (ms_cc_0001)
CHRIS NAFLD data (md_na_0001)
CHRIS NAFLD samples (ms_na_0001)
CHRIS PAREGEN1 data (md_p1_0001)
CHRIS PAREGEN1 samples (ms_p1_0001)
CHRIS PAREGEN2 data (md_p2_0001)
CHRIS PAREGEN2 samples (ms_p2_0001)
CHRIS baseline data (md_x0_0001)
CHRIS baseline samples (ms_x0_0001)
CHRIS data (md_x_0001)
CHRIS follow-up data (md_x1_0001)
CHRIS follow-up data (Upcoming CHRIS follow-up) (md_up_0010)
CHRIS follow-up samples (ms_x1_0001)
CHRIS samples (ms_x_0001)
CHRIS sub-study data (md_xs_0001)
CHRIS sub-study samples (ms_xs_0001)
COVID-19 infection (CHRIS follow-up) (md_x1_0123)
COVID-19 vaccination (CHRIS follow-up) (md_x1_0117)
Cancer (CHRIS baseline) (md_x0_0040)
Cancer (CHRIS follow-up) (md_x1_0040)
Cardiac arrhythmias (CHRIS baseline) (md_x0_0041)
Cardiac arrhythmias (CHRIS follow-up) (md_x1_0041)
Cardiovascular diseases (CHRIS baseline) (md_x0_0042)
Cardiovascular diseases (CHRIS baseline) (md_x0_0107)
Cardiovascular traits (CHRIS baseline) (md_x0_0114)
Cardiovascular traits (CHRIS follow-up) (md_x1_0114)
Childhood trauma (CHRIS baseline) (md_x0_0081)
Chronic diseases (CHRIS baseline) (md_x0_0043)
Chronic diseases (CHRIS follow-up) (md_x1_0043)
Chronic pain (CHRIS baseline) (md_x0_0044)
Chronic pain (CHRIS follow-up) (md_x1_0124)
Chronotype (CHRIS baseline) (md_x0_0091)
Circulation (CHRIS baseline) (md_x0_0045)
Circulation (CHRIS follow-up) (md_x1_0045)
Clinical traits (CHRIS baseline) (md_x0_0011)
Clinical traits (CHRIS follow-up) (md_x1_0011)
Cognition (CHRIS baseline) (md_x0_0070)
Complement system (CHRIS baseline) (md_x0_0004)
Complement system, additional batch (Upcoming, CHRIS baseline) (md_up_0009)
Continuous blood pressure measurement (CHRIS baseline) (md_x0_0118)
Corticosteroids (Upcoming, CHRIS baseline) (md_up_0008)
Cumulative Illness Rating Scale (CHRIS baseline) (md_x0_0115)
Data-derived traits (CHRIS baseline) (md_x0_0106)
Data-derived traits (CHRIS follow-up) (md_x1_0106)
Day summary (md_x1_0140)
Demographic data (CHRIS baseline) (md_x0_0024)
Demographic data (CHRIS follow-up) (md_x1_0024)
Depression (CHRIS baseline) (md_x0_0090)
Depression (CHRIS follow-up) (md_x1_0090)
Depression and mania (CHRIS baseline) (md_x0_0085)
Derived traits (CHRIS baseline) (md_x0_0104)
Derived traits (CHRIS follow-up) (md_x1_0104)
Diabetes (CHRIS baseline) (md_x0_0046)
Diabetes (CHRIS follow-up) (md_x1_0046)
Drug intake (CHRIS baseline) (md_x0_0018)
Drug intake (CHRIS follow-up) (md_x1_0018)
Drugs complete dataset (CHRIS follow-up) (md_x1_0019)
Drugs summary (CHRIS baseline) (md_x0_0020)
Drugs summary (CHRIS follow-up) (md_x1_0020)
Dynamic consent survey (CHRIS baseline) (md_x0_0109)
ECG 10s (CHRIS baseline) (md_x0_0015)
ECG 10s (CHRIS follow-up) (md_x1_0015)
ECG 20m (CHRIS baseline) (md_x0_0016)
ECG representations based on 32 generative factors (Upcoming, CHRIS baseline) (md_up_0015)
Early repolarization pattern (CHRIS baseline) (md_x0_0116)
Exposure (CHRIS baseline) (md_x0_0047)
Feces (CHRIS NAFLD) (ms_na_0005)
Flavonoid intake (CHRIS baseline) (md_x0_0078)
Flavonoid intake (CHRIS follow-up) (md_x1_0078)
Food frequency questionnaire (CHRIS baseline) (md_x0_0077)
Food frequency questionnaire (CHRIS follow-up) (md_x1_0077)
General health (CHRIS follow-up) (md_x1_0128)
General information (CHRIS COVID-19) (md_cc_0004)
General information (CHRIS baseline) (md_x0_0021)
General information (CHRIS follow-up) (md_x1_0021)
Genomic variants (CHRIS baseline) (md_x0_0026)
Genomics (CHRIS baseline) (md_x0_0025)
Genotype array (CHRIS baseline) (md_x0_0028)
Gynecology (CHRIS baseline) (md_x0_0048)
Gynecology (CHRIS follow-up) (md_x1_0048)
Handedness (CHRIS follow-up) (md_x1_0136)
Heart failure (CHRIS baseline) (md_x0_0049)
Heart failure (CHRIS follow-up) (md_x1_0049)
Heart rate variability (CHRIS baseline) (md_x0_0113)
Heart rate variability, cardiologist curated (CHRIS baseline) (md_x0_0112)
Hypertension (CHRIS follow-up) (md_x1_0116)
Hypomania (CHRIS baseline) (md_x0_0082)
Illness rating (CHRIS follow-up) (md_x1_0129)
Infectious diseases (CHRIS follow-up) (md_x1_0122)
Informed consent (CHRIS follow-up) (md_x1_0110)
Informed consent (CHRIS baseline) (md_x0_0110)
Insomnia (CHRIS follow-up) (md_x1_0121)
Interpretation (CHRIS follow-up) (md_x1_0133)
Interview (CHRIS baseline) (md_x0_0036)
Interview (CHRIS follow-up) (md_x1_0036)
Iron metabolism (CHRIS baseline) (md_x0_0005)
Iron metabolism (Upcoming, CHRIS baseline) (md_up_0003)
Kidney diseases (CHRIS baseline) (md_x0_0050)
Kidney diseases (CHRIS follow-up) (md_x1_0050)
Lab routine measurements (CHRIS baseline) (md_x0_0008)
Lab routine measurements (CHRIS follow-up) (md_x1_0008)
Longitudinal information (CHRIS COVID-19) (md_cc_0005)
MICROS data (md_mi_0001)
MICROS samples (ms_mi_0001)
Major psychiatric diagnoses (CHRIS baseline) (md_x0_0084)
Mass-spectrometry plasma proteomics (Upcoming, CHRIS COVID 19) (md_up_0014)
Mass-spectrometry plasma proteomics (Upcoming, CHRIS baseline, CHRIS NAFLD) (md_up_0007)
Mass-spectrometry plasma proteomics: peptides (CHRIS NAFLD) (md_na_0101)
Mass-spectrometry plasma proteomics: peptides (CHRIS baseline) (md_x0_0101)
Mass-spectrometry plasma proteomics: proteins (CHRIS NAFLD) (md_na_0102)
Mass-spectrometry plasma proteomics: proteins (CHRIS baseline) (md_x0_0102)
Metabolomics (CHRIS NAFLD) (md_na_0063)
Metabolomics (CHRIS baseline) (md_x0_0063)
Metagenomes from saliva and feces (Upcoming, CHRIS NAFLD) (md_up_0016)
Migraine (CHRIS baseline) (md_x0_0051)
Mitochondrial DNA (Upcoming, CHRIS baseline) (md_up_0019)
Mitochondrial DNA copy number (CHRIS baseline) (md_x0_0006)
Movement disorder examination (CHRIS baseline) (md_x0_0111)
Myocardial infarction (CHRIS baseline) (md_x0_0052)
Myocardial infarction (CHRIS follow-up) (md_x1_0052)
NAFLD sub-study data (Upcoming CHRIS NAFLD) (md_up_0006)
NOT IN USE (md_x_0003)
NOT IN USE md_x0_0033 (md_x0_0033)
NOT IN USE md_x0_0034 (md_x0_0034)
NOT IN USE md_x0_0122 (md_x0_0122)
NOT IN USE md_x0_0123 (md_x0_0123)
NOT IN USE md_x0_0124 (md_x0_0124)
NOT IN USE md_x0_0125 (md_x0_0125)
NOT IN USE ms_x0_0005 (ms_x0_0005)
NOT IN USE ms_x0_0006 (ms_x0_0006)
NOT IN USE ms_x0_0007 (ms_x0_0007)
NOT IN USE ms_x0_0008 (ms_x0_0008)
NOT IN USE ms_x0_0009 (ms_x0_0009)
NOT IN USE ms_x0_0010 (ms_x0_0010)
NOT IN USE ms_x0_0011 (ms_x0_0011)
NOT IN USE test (test)
NOT IN USE upcoming_0001 (upcoming_0001)
NOT IN USE upcoming_0002 (upcoming_0002)
NOT IN USE upcoming_0003 (upcoming_0003)
NOT IN USE upcoming_0004 (upcoming_0004)
Neurological phenotypes (CHRIS baseline) (md_x0_0108)
Neurological phenotypes (CHRIS follow-up) (md_x1_0108)
Neurological tests (CHRIS baseline) (md_x0_0068)
Neurological tests (CHRIS follow-up) (md_x1_0068)
Neurology (CHRIS baseline) (md_x0_0053)
Neurology (CHRIS follow-up) (md_x1_0053)
Neuropsychiatry questionnaire (CHRIS baseline) (md_x0_0080)
Neutralizing Antibody (CHRIS COVID-19) (md_cc_0006)
Notes (CHRIS follow-up) (md_x1_0138)
Nutrient intake (CHRIS baseline) (md_x0_0079)
Nutrient intake (CHRIS follow-up) (md_x1_0079)
Nutrition (CHRIS baseline) (md_x0_0054)
Occupation (CHRIS baseline) (md_x0_0055)
Occupation (CHRIS follow-up) (md_x1_0055)
Olfaction (CHRIS follow-up) (md_x1_0118)
Olfactory test (CHRIS baseline) (md_x0_0071)
Olfactory test (CHRIS follow-up) (md_x1_0071)
Optimism and pessimism (CHRIS baseline) (md_x0_0083)
Oral health (CHRIS baseline) (md_x0_0099)
Other diseases (CHRIS baseline) (md_x0_0056)
PAREGEN sub-study data (Upcoming, CHRIS PAREGEN) (md_up_0017)
PAREGEN2 sub-study data (Upcoming, CHRIS PAREGEN2) (md_up_0018)
Pain Sensitivity (CHRIS follow-up) (md_x1_0092)
Pain pressure threshold (CHRIS baseline) (md_x0_0069)
Pain sensitivity (CHRIS baseline) (md_x0_0092)
Pain sensitivity assessement (CHRIS follow-up) (md_x1_0119)
Pain staging (CHRIS follow-up) (md_x1_0125)
Parkinson screening (CHRIS baseline) (md_x0_0057)
Participant satisfaction survey (CHRIS follow-up) (md_x1_0132)
Participation information (CHRIS baseline) (md_x0_0023)
Participation information (CHRIS follow-up) (md_x1_0023)
Pedigree (CHRIS baseline) (md_x0_0074)
Person (CHRIS baseline) (md_x0_0058)
Person (CHRIS follow-up) (md_x1_0058)
Physical activity (CHRIS baseline) (md_x0_0093)
Physical activity (CHRIS follow-up) (md_x1_0093)
Proteomics (CHRIS NAFLD) (md_na_0100)
Proteomics (CHRIS baseline) (md_x0_0100)
Public imputation panels (CHRIS baseline) (md_x0_0027)
REM sleep (CHRIS baseline) (md_x0_0095)
REM sleep (CHRIS follow-up) (md_x1_0095)
Raw recordings ECG 10s (CHRIS baseline) (md_x0_0119)
Raw recordings ECG 20m (CHRIS baseline) (md_x0_0120)
Raw recordings spiralography (CHRIS baseline) (md_x0_0121)
Renin-angiotensin-aldosteron system (Upcoming, CHRIS baseline) (md_up_0005)
Resting ECG (CHRIS baseline) (md_x0_0014)
Resting ECG (CHRIS follow-up) (md_x1_0014)
Restless Legs Syndrome (CHRIS baseline) (md_x0_0096)
SARS-CoV-2 antibody (CHRIS follow-up) (md_x1_0115)
Saliva (CHRIS NAFLD) (ms_na_0004)
Saliva (CHRIS baseline) (ms_x0_0004)
Saliva microbiome (Upcoming, CHRIS baseline) (md_up_0013)
Sample-derived traits (CHRIS baseline) (md_x0_0105)
Sample-derived traits (CHRIS follow-up) (md_x1_0105)
Self-Assessement (CHRIS baseline) (md_x0_0076)
Self-Assessement (CHRIS follow-up) (md_x1_0076)
Self-Assessement at home (CHRIS follow-up) (md_x1_0127)
Self-reported ancestry (CHRIS baseline) (md_x0_0075)
Sleep behavior (CHRIS follow-up) (md_x1_0120)
Sleep quality (CHRIS baseline) (md_x0_0094)
Smoking (CHRIS baseline) (md_x0_0059)
Smoking (CHRIS follow-up) (md_x1_0059)
Socio-economic panel (CHRIS follow-up) (md_x1_0126)
Socio-economic panel, at home (CHRIS follow-up) (md_x1_0131)
Spiralography (CHRIS baseline) (md_x0_0072)
Stress perception (CHRIS baseline) (md_x0_0086)
Stroke (CHRIS baseline) (md_x0_0060)
Stroke (CHRIS follow-up) (md_x1_0060)
Summary (md_x1_0141)
Surgeries (CHRIS follow-up) (md_x1_0137)
TOPMed-imputed genotypes (CHRIS baseline) - NOT IN USE (md_x0_0030)
Targeted serum metabolomics (CHRIS NAFLD) (md_na_0065)
Targeted serum metabolomics (CHRIS baseline) (md_x0_0065)
Targeted serum metabolomics, expanded set (CHRIS baseline) (md_x0_0064)
Targeted serum metabolomics, expanded set (Upcoming, CHRIS baseline) (md_up_0004)
Temperament (CHRIS baseline) (md_x0_0087)
Thyroid diseases (CHRIS baseline) (md_x0_0061)
Thyroid diseases (CHRIS follow-up) (md_x1_0061)
Touchscreen (CHRIS baseline) (md_x0_0088)
Touchscreen (CHRIS follow-up) (md_x1_0088)
Untargeted serum metabolomics (Upcoming, CHRIS baseline) (md_up_0012)
Untargeted serum metabolomics, small polar metabolites, negative polarity (CHRIS NAFLD) (md_na_0066)
Untargeted serum metabolomics, small polar metabolites, negative polarity (CHRIS baseline) (md_x0_0066)
Untargeted serum metabolomics, small polar metabolites, positive polarity (CHRIS NAFLD) (md_na_0067)
Untargeted serum metabolomics, small polar metabolites, positive polarity (CHRIS baseline) (md_x0_0067)
Upcoming datasets (md_up_0001)
Urine (CHRIS NAFLD) (ms_na_0003)
Urine (CHRIS baseline) (ms_x0_0003)
Urine (CHRIS follow-up) (ms_x1_0003)
Urine measurements (CHRIS baseline) (md_x0_0010)
Urine measurements (CHRIS follow-up) (md_x1_0010)
Vaccination (CHRIS baseline) (md_x0_0062)
Vaccination status (CHRIS COVID-19) (md_cc_0007)
Whole-exome sequencing (CHRIS baseline) (md_x0_0029)
Whole-exome sequencing imputation (CHRIS baseline) (md_x0_0031)
Whole-exome sequencing raw data (CHRIS baseline) (md_x0_0032)
Without expected release date (md_up_0002)
Module
---------
Label
Character
Integer
Categorical
Float
Date
Time
Datetime
Boolean
Type
Search
Clear
Module
Label
Name
Description
Type
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)
x0ec212
noise 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
Character
Heart rate variability (CHRIS baseline)
x0ec202
total length of the ECG
Total length of the ECG recording, expressed in seconds
Float
Heart rate variability (CHRIS baseline)
x0ec203
effective length
Effective length of the ECG which is used for HRV analysis, expressed in seconds
Float
Heart rate variability (CHRIS baseline)
x0ec204
effective length (%)
Effective data length, expressed as percentage of the total length
Float
Heart rate variability (CHRIS baseline)
x0ec207a
t_RR start
Time point of the first beat in the RR series, expressed in seconds
Float
Heart rate variability (CHRIS baseline)
x0ec207b
t_RR end
Time point of the last beat in the RR series, expressed in seconds
Float
Heart rate variability (CHRIS baseline)
x0ec210
number of corrected beats (%)
Number of corrected beats, expressed as percentage of the total number of beats
Float
Heart rate variability (CHRIS baseline)
x0ec213
PNS index
PNS index
Float
Heart rate variability (CHRIS baseline)
x0ec213a
PNS param: nMeanRR
First parameter used for PNS index calculation: MeanRR normalized by scaling with the standard deviations of normal population
Float
Heart rate variability (CHRIS baseline)
x0ec213b
PNS param: nRMSSD
Second parameter used for PNS index calculation: RMSSD normalized by scaling with the standard deviations of normal population
Float
Heart rate variability (CHRIS baseline)
x0ec213c
PNS param: nSD1
Third parameter used for PNS index calculation: SD1 normalized by scaling with the standard deviations of normal population
Float
Heart rate variability (CHRIS baseline)
x0ec214
SNS index
SNS index
Float
Heart rate variability (CHRIS baseline)
x0ec214a
SNS param: nMeanHR
First parameter used for SNS index calculation: MeanHR normalized by scaling with the standard deviations of normal population
Float
Heart rate variability (CHRIS baseline)
x0ec214b
SNS param: nSI
Second parameter used for SNS index calculation: SI normalized by scaling with the standard deviations of normal population
Float
Heart rate variability (CHRIS baseline)
x0ec214c
SNS param: nSD2
Third parameter used for SNS index calculation: SD2 normalized by scaling with the standard deviations of normal population
Float
Heart rate variability (CHRIS baseline)
x0ec215
mean RR
Mean value of RR intervals, expressed in milliseconds
Float
Heart rate variability (CHRIS baseline)
x0ec216
SDNN
SDNN: Standard deviation of RR intervals, expressed in milliseconds
Float
Heart rate variability (CHRIS baseline)
x0ec217
RMSSD
RMSSD: Square root of the mean squared differences between successive RR intervals, expressed in milliseconds
Float
Heart rate variability (CHRIS baseline)
x0ec219
pNN50
pNN50: NN50 divided by the total number of RR intervals
Float
Heart rate variability (CHRIS baseline)
x0ec220
SDANN
SDANN: Standard deviation of the averages of RR intervals in 5-min segments, expressed in milliseconds
Float
Heart rate variability (CHRIS baseline)
x0ec221
SDNNI
SDNNI: Mean of the standard deviations of RR intervals in 5-min segments, expressed in milliseconds
Float
Heart rate variability (CHRIS baseline)
x0ec222
mean HR
Mean heart rate, expressed in beats per minute
Float
Heart rate variability (CHRIS baseline)
x0ec223
std HR
Standard deviation of heart rate
Float
Heart rate variability (CHRIS baseline)
x0ec224
min HR
Minimum HR computed using N=5 beat moving average
Float
Heart rate variability (CHRIS baseline)
x0ec225
max HR
Maximum HR computed using N=5 beat moving average
Float
Heart rate variability (CHRIS baseline)
x0ec226
SI (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
Float
Heart rate variability (CHRIS baseline)
x0ec227
HRV 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
Float
Heart rate variability (CHRIS baseline)
x0ec229
AC
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
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
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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)
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.
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Heart rate variability (CHRIS baseline)
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LF-HF power (Welch)
Ratio between LF and HF band powers, with PSD estimated using Fast Fourier transformation (FFT) based Welch's periodogram method
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Heart rate variability (CHRIS baseline)
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VLF peak (AR)
Very Low Frequency (VLF) band peak frequency, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in Hz
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Heart rate variability (CHRIS baseline)
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LF peak (AR)
Low Frequency (LF) band peak frequency, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in Hz
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Heart rate variability (CHRIS baseline)
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HF peak (AR)
High Frequency (HF) band peak frequency, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in Hz
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Heart rate variability (CHRIS baseline)
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VLF power (AR)
Absolute power of VLF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2
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Heart rate variability (CHRIS baseline)
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LF power (AR)
Absolute power of LF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2
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Heart rate variability (CHRIS baseline)
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HF power (AR)
Absolute power of HF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2
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Heart rate variability (CHRIS baseline)
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total power (AR)
Absolute power of the total spectrum, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2
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Heart rate variability (CHRIS baseline)
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logVLF power (AR)
Natural logarithm transformed values of VLF band, with PSD estimated using parametric autoregressive (AR) modeling method
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Heart rate variability (CHRIS baseline)
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logLF power (AR)
Natural logarithm transformed values of LF band, with PSD estimated using parametric autoregressive (AR) modeling method
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Heart rate variability (CHRIS baseline)
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logHF power (AR)
Natural logarithm transformed values of HF band, with PSD estimated using parametric autoregressive (AR) modeling method
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Heart rate variability (CHRIS baseline)
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logtot power (AR)
Natural logarithm transformed values of total spectrum power, with PSD estimated using parametric autoregressive (AR) modeling method
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Heart rate variability (CHRIS baseline)
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VLF power (%) (AR)
Relative power of VLF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2
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Heart rate variability (CHRIS baseline)
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LF power (%) (AR)
Relative power of LF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2
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Heart rate variability (CHRIS baseline)
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HF power (%) (AR)
Relative power of HF band, with PSD estimated using parametric autoregressive (AR) modeling method, expressed in ms^2
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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.
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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
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Heart rate variability (CHRIS baseline)
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EDR (ECG Derived Respiration)
EDR (ECG Derived Respiration), expressed in Hz
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Heart rate variability (CHRIS baseline)
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Poincare SD1
Poincare SD1: in Poincare plot, SD1 represents the standard deviation perpendicular to the line-of-identity
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Heart rate variability (CHRIS baseline)
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Poincare SD2
Poincare SD2: in Poincare plot, SD2 represents the standard deviation along the line-of-identity
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Heart rate variability (CHRIS baseline)
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Poincare SD2/SD1
Poincare SD2/SD1: ratio between SD2 and SD1
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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Sample Entropy
Sample Entropy: similar to ApEn, but it presents some differences in the calculation
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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DFA alpha1
DFA alpha1: Detrended Fluctuation Analysis measures the correlation within the signal. Slope alpha1 characterizes short-term fluctuations or the RR series
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Heart rate variability (CHRIS baseline)
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DFA alpha2
DFA alpha2: Detrended Fluctuation Analysis measures the correlation within the signal. Slope alpha2 characterizes long-term fluctuations or the RR series
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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RPA Shannon Entropy
RPA Shannon Entropy: it is the entropy of the probability distribution of the diagonal line lengths
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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Heart rate variability (CHRIS baseline)
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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
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