HRV
Sections
HRVDex — Technical Reference

Daily HRV Summaries
& Readiness

Reference for every metric HRVDex surfaces from a pre-computed daily HRV reading (Welltory-style morning check) — definitions, formulas, expected ranges, and the evidence base behind each. The core HRV measures are the established, literature-validated ones; on them HRVDex layers trend signals, readiness composites and population projections. Companion to the reading; not a substitute for clinical evaluation.

⚠️
Important: HRVDex consumes daily summaries from a short (typically one-minute) reading, so it inherits that protocol’s sensitivity to posture, breathing and timing — compare readings taken the same way each morning. Composite “readiness” scores are internal blends; projections (ANS age, VO₂max, BP) are population proxies, not measurements.
Evidence Measured Validated Emerging Experimental Heuristic fill = trust · hover a badge for source
ℹ️
No “measured” tier here. Because HRVDex ingests already-summarised HRV (it never sees the raw beats itself), its strongest rung is validated — the established HRV measures — rather than measured. For raw beat-to-beat statistics, see PulseDex or ECGDex.
💓
Core HRV
The established, literature-validated heart-rate-variability measures
rMSSDRoot Mean Square of Successive Differences
Core

The primary parasympathetic (vagal) marker and the most stable short-reading HRV value — HRVDex’s headline.

Formula
rMSSD = √( mean( (NN[i+1]−NN[i])² ) )
rMSSD (ms)Read
> 42High vagal tone / well-recovered
20–42Typical adult range
< 20Low — stress / fatigue
SDNNStandard Deviation of NN Intervals
Core

Overall HRV across the reading — total autonomic variability.

Formula
SDNN = √( Σ(NN−mean)² / (N−1) )
SDNN (ms)Read
> 50Healthy
30–50Moderate
< 30Reduced
LF/HFSympatho-Vagal Balance
Advanced

Ratio of low- to high-frequency power — historically read as sympatho-vagal balance; interpret directionally.

Formula
LF/HF = LF power / HF power
LF/HFRead
1–2Balanced
> 2.5Sympathetic-leaning
< 0.5Parasympathetic-leaning
HF n.u.Normalised HF
Research

High-frequency power as a share of (LF+HF) — the parasympathetic fraction.

Formula
HFnu = 100 × HF / (LF + HF)
Relative measure — compare against your own baseline; no single clinical cut-point.
SD1/SD2Poincaré Ratio
Research

Balance of short- to long-term variability from the Poincaré plot.

Formula
ratio = SD1 / SD2
Relative measure — compare against your own baseline; no single clinical cut-point.
Baevsky SIStress Index
Advanced

A geometric stress index that rises with sympathetic load / autonomic rigidity.

Formula
SI = AMo / (2 × Mode × MxDMn)
Baevsky SIRead
< 150Balanced
150–500Elevated load
> 500High sympathetic load
Toichi CVICardiac Vagal Index
Research

A log-scaled Poincaré index isolating the vagal contribution to variability.

Formula
CVI = log₁₀( L × T ) [L, T = Poincaré long/short]
Higher = stronger vagal activity; relative to baseline.
Toichi CSICardiac Sympathetic Index
Research

The sympathetic counterpart of CVI from the same Poincaré geometry.

Formula
CSI = L / T [Poincaré long ÷ short]
Higher = stronger sympathetic dominance; relative.
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♾️
Nonlinear & Trend
Complexity measures and personal-baseline trend signals
DFA α1Short-Term Scaling Proxy
Research

Detrended-fluctuation scaling exponent — the correlation structure of the rhythm; length-dependent on short readings.

Formula
α1 = slope of log F(n) vs log n, n = 4…16 beats
DFA α1Read
0.85–1.15Healthy correlated dynamics
< 0.75 / > 1.25Toward random / rigid
Spectral EntSpectral Entropy
Research

Entropy of the power spectrum — how spread-out (complex) the rhythm’s frequency content is.

Formula
SE = −Σ p(f) log p(f), p = normalised PSD
Relative measure — compare against your own baseline; no single clinical cut-point.
SDNN Z-scoreSDNN vs Baseline
Advanced

Today’s SDNN as a z-score against your trailing 7-day baseline — how this reading compares to your normal.

Formula
SDNN Z = (SDNN − baseline mean) / baseline SD
SDNN ZRead
> 0Above your baseline
−1 to 0Slightly below
< −1Well below baseline
HRV Momentumln(rMSSD) Trend
Advanced

The slope of log-rMSSD over 14 days — whether your HRV trend is rising or falling.

Formula
Momentum = OLS slope of ln(rMSSD) over 14 d
MomentumRead
> 0Rising HRV trend
≈ 0Flat
< 0Declining trend
VEI (rMSSD/HR)Vagal Efficiency
Advanced

rMSSD scaled by heart rate — a vagal-coupling efficiency proxy.

Formula
VEI = rMSSD / HR
Relative measure — compare against your own baseline; no single clinical cut-point.
CAICardiac Autonomic Index
Research

Geometric mean of the Poincaré axes — a combined autonomic-tone index.

Formula
CAI = √( SD1 × SD2 )
Relative measure — compare against your own baseline; no single clinical cut-point.
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🧮
Readiness Composites
Derived scores — internal blends, directional only
⚠️
All internal composites. These scores blend the validated HRV measures above into readiness/stress/recovery signals, in the spirit of consumer HRV apps. No external validation — read them as relative trends against your own history.
HRV ScoreAutonomic-Readiness Composite
Core

A 0–100 readiness headline blending vagal HRV against your baseline.

Method
blend of ln rMSSD, SDNN-Z and momentum
Internal — directional, baseline-relative.
StressHRV-Derived Stress
Core

An inverse-HRV stress estimate — rises as variability falls.

Method
inverse function of rMSSD / HF vs baseline
Internal — directional only.
EnergyHRV-Derived Energy
Advanced

A composite energy/activation estimate.

Method
blend of HRV level, balance and recovery
Internal — directional only.
ANS LoadAutonomic Burden
Advanced

A composite estimate of overall autonomic load.

Method
from SI, LF/HF and HRV deficit vs baseline
Internal — directional only.
Recov IndexRecovery vs Baseline
Advanced

How recovered the autonomic system looks relative to your baseline.

Method
ARI = today HRV / baseline HRV
Internal — directional only.
Recov DebtRecovery Debt (days)
Advanced

Accumulated days of sub-baseline recovery over the last two weeks.

Formula
Recov Debt = count(days where ARI < 0.9 in 14 d)
Internal — directional; lower is better.
CoherenceHRV Coherence
Research

A heart-rhythm coherence estimate (spectral peak sharpness around ~0.1 Hz).

Method
peak-power / total-power around the coherence band
Internal — directional only.
EFC IndexEnergy-Fatigue-Capacity
Research

A readiness blend of energy, fatigue and capacity.

Method
weighted blend of Energy, fatigue and HRV capacity
Internal — directional only.
ABSAutonomic Balance Score
Research

A combined sympathetic/parasympathetic balance index.

Method
normalised PSNS − SNS balance
Internal — directional only.
Restoration IndexRecovery Composite
Research

A composite of energy, coherence and stress as a single restoration readout.

Formula
Restoration = Energy × Coherence / Stress
Internal — directional only.
PTIParasympathetic Tone Index
Research

A parasympathetic-tone composite.

Formula
PTI = PSNS × rMSSD (normalised)
Internal — directional only.
Overtrain RiskOvertraining-Risk Proxy
Research

A directional overtraining-risk estimate from sustained autonomic load.

Method
sustained low HRV + high SNS over days
Internal — directional only.
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🔮
Projections
Population-norm projections — directional, not measurements
VO2max EstEstimated VO₂max
Research

An HRV-adjusted fitness estimate — a population proxy, not a cardiopulmonary exercise test.

Formula
VO₂max ≈ 15 × (HRmax / HRrest), HRV-adjusted
Heuristic proxy — track the trend, not the absolute.
VO2 7d AvgRolling VO₂ Baseline
Research

The smoothed 7-day average of the VO₂max estimate.

Formula
VO₂ 7d = mean( VO₂max est over 7 d )
Heuristic proxy.
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✔️
Validation Status Matrix
What is literature-validated versus experimentally derived — the key provenance table for research use

Validation refers to the underlying metric’s validation in published literature, and does not imply validation of the HRVDex implementation against a gold-standard laboratory dataset.

Metric CategoryStatusBasis
rMSSD, SDNN, LF/HF, HF n.u.● Literature-basedTask Force 1996 standards
SD1/SD2, CAI, Toichi CVI/CSI● Literature-basedBrennan 2001; Toichi 1997
Baevsky stress index● Literature-basedBaevsky & Chernikova
DFA α1, spectral entropy, SDNN-Z, momentum, VEI◐ EmergingPublished / personal-baseline trend signals
HRV/Stress/Energy/readiness composites○ Experimental compositeHRVDex internal blends; no independent validation
VO₂max (HRV-adjusted)○ Population-derivedPopulation projection; not a measurement. ANS-age + HRV→BP removed 2026-06-23.
Metric Tier Definitions
TierMeaningExamples
CoreHeadline, universally interpretablerMSSD, SDNN, HRV Score, Stress
AdvancedEstablished support, fuller analysisLF/HF, Baevsky SI, SDNN-Z, VEI
ResearchExploratory / emerging / compositesDFA, Toichi, ANS ratios, projections
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🗺️
Formula → Citation Map
Every computed metric mapped to its primary source
Metric / FormulaPrimary CitationCategory
rMSSD, SDNN, LF/HF, HF n.u.Task Force 1996HRV
SD1/SD2; CAI √(SD1×SD2)Brennan 2001HRV
Toichi CVI / CSIToichi 1997HRV
Baevsky stress indexBaevsky & Chernikova 2017HRV
DFA α1Peng 1995Nonlinear
VO₂max (HR-ratio)Uth–Sørensen 2004Projection
HRV/Stress/readiness; ANS-age & BP proxiesHRVDex internal — no external sourceInternal
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𝑓
Formula Provenance Index
Compact audit index — every external formula mapped to its source
FormulaSource / AuthorYearReference
Time-domain HRV standardsTask Force ESC/NASPE1996Circulation. 93(5):1043–65
SD1/SD2 Poincaré geometryBrennan, Palaniswami & Kamen2001IEEE TBME. 48(11):1342–7
CVI = log₁₀(L·T) ; CSI = L/TToichi et al.1997J Auton Nerv Syst. 62(1–2):79–84
Baevsky SI = AMo/(2·Mo·MxDMn)Baevsky & Chernikova2017Cardiometry. 10:66–76
DFA α1Peng et al.1995Chaos. 5(1):82–7
VO₂max = 15·(HRmax/HRrest)Uth, Sørensen et al.2004Eur J Appl Physiol. 91(1):111–5
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⚠️
Known Limitations
The interpretation context for daily-summary HRV
ℹ️
These limitations are inherent to short, pre-summarised HRV readings. They do not invalidate HRVDex outputs but define the appropriate interpretation context.
📱 Source & Protocol
  • Consumes pre-summarised daily HRV — raw beats are not seen here
  • Short (~1-min) readings are sensitive to posture and breathing
  • Take readings the same way each morning for comparability
  • Source-app summarisation choices affect the numbers
🧠 Interpretation
  • Absolute HRV varies with age/fitness — track your own trend
  • LF/HF as “balance” is contested; read directionally
  • Frequency metrics need adequate reading length
  • No EEG / no raw morphology — no staging or beat-shape claims
📊 Algorithmic
  • Readiness/stress/energy/recovery are internal composites
  • ANS age, VO₂max, BP are population proxies, not measurements
  • Baselines need ~7–14 days of readings to stabilise
  • Normative bands are general, not personally calibrated
⚖️ Regulatory
  • Not FDA cleared or CE marked as a medical device
  • Not for clinical diagnosis or treatment decisions
  • Personal, research, and wellness use only
  • Discuss medical concerns with a qualified clinician
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📚
Academic References
Primary sources for the HRV measures HRVDex surfaces
⚠️
Provenance note. Composite readiness scores and BP/ANS-age projections are internal blends or population proxies with no external source, labelled as such. The core and nonlinear HRV measures use the verified canon below.
Method / MetricPrimary CitationCategory
rMSSD, SDNN, LF/HF, HF n.u.Task Force of the ESC and NASPE. Heart rate variability: standards of measurement, physiological interpretation, and clinical use. Circulation. 1996;93(5):1043–65. doi: 10.1161/01.CIR.93.5.1043HRV
Poincaré SD1/SD2; CAI √(SD1×SD2)Brennan M, Palaniswami M, Kamen P. Do existing measures of Poincaré plot geometry reflect nonlinear features of HRV? IEEE Trans Biomed Eng. 2001;48(11):1342–7. doi: 10.1109/10.959330HRV
Toichi CVI / CSIToichi M, Sugiura T, Murai T, Sengoku A. A new method of assessing cardiac autonomic function and its comparison with spectral analysis and coefficient of variation of R-R interval. J Auton Nerv Syst. 1997;62(1–2):79–84. doi: 10.1016/S0165-1838(96)00112-9HRV
Baevsky stress indexBaevsky RM, Chernikova AG. Heart rate variability analysis: physiological foundations and main methods. Cardiometry. 2017;10:66–76. doi: 10.12710/cardiometry.2017.10.6676HRV
DFA α1Peng C-K, Havlin S, Stanley HE, Goldberger AL. Quantification of scaling exponents… in nonstationary heartbeat time series. Chaos. 1995;5(1):82–7. doi: 10.1063/1.166141Nonlinear
VO₂max (HR-ratio method)Uth N, Sørensen H, Overgaard K, Pedersen PK. Estimation of VO₂max from the ratio between HRmax and HRrest. Eur J Appl Physiol. 2004;91(1):111–5. doi: 10.1007/s00421-003-0988-yProjection
HRV / Stress / Energy / readiness scores; BP & ANS-age proxiesHRVDex internal composites and population projections — no external source. Directional only.Internal
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🔠
Abbreviation Index
Every acronym used in this guide — searchable, jump to its section
terms
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📋
Project Credits
Authorship, contributions, and open-source provenance
Author
Michal Planicka
Concept · Architecture · Algorithms
Implementation · Validation · UI/UX
Assisted Development
AI-Assisted
Code review · Documentation
Literature synthesis · Reference formatting
Licence & Suggested Citation
Apache-2.0 Open-source
Planicka M. HRVDex: Daily HRV Summary Node. Version 1.0.0. 2026.
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Reference Guide Version: 1.0.0  ·  Node: HRVDex — daily HRV summaries  ·  Last Literature Review: June 2026  ·  Apache-2.0 Licence
Intended use & safety

Tepna computes biometric patterns from your wearable and sensor data to support personal self-quantification. It is not a medical device, does not diagnose, treat, cure, screen for, or prevent any disease or condition, and is not a substitute for professional clinical evaluation. It has not been reviewed or cleared by the FDA, CE, or any regulatory body. Always consult a qualified healthcare provider about your health. Use at your own risk. For research and personal use only. 100% local — no data leaves your device.

T Tepna physiological-signal suite
© 2026 Michal Planicka — Concept · Architecture · Algorithms Not a medical device · does not diagnose or treat · not FDA/CE cleared · research & personal use only · ◈ Made in Asheville, NC
licenceApache-2.0