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; the VO₂max projection is a population proxy, not a measurement.
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.
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 compositesHRVDex 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
  • VO₂max is a population proxy, not a measurement
  • 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 are internal blends and the VO₂max projection is a population proxy, both with no external source and 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):1043–1065. doi: 10.1161/01.CIR.93.5.1043HRV
HR/HRV measurement & reporting methodology (2024 update to Task Force 1996)Quigley KS, Gianaros PJ, Norman GJ, Jennings JR, Berntson GG, de Geus EJC. Publication guidelines for human heart rate and heart rate variability studies in psychophysiology — Part 1: Physiological underpinnings and foundations of measurement. Psychophysiology. 2024;61(9):e14604. doi: 10.1111/psyp.14604HRV
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):1342–1347. 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):82–87. 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):111–115. doi: 10.1007/s00421-003-0988-yProjection
HRV / Stress / Energy / readiness scoresHRVDex internal composites — 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
v2.8.0