ccsi

Corrected Cardiac Sympathetic Index

Aliasescorrected_cardiac_sympathetic_index, corrected_csi, modified_csi, csi_mod
Domaingeometric
Distribution familyLogNormal
Equation4 * SD2^2 / SD1
Resource intensity◍◍◌◌◌ low, Geometric subgraph (Poincaré coords / RR histogram + reductions). Warm (shared representation cached) is 9× cheaper. (measured, see §Resources)

Definition

Corrected cardiac sympathetic index. Formally: 4 * SD2^2 / SD1.

What does normal look like?

Fitted normative prior: LogNormal(μ = 6.637, σ = 0.8815), KS p = 3.8e-05, n = 61715.

Normative distribution of ccsi

Empirical distribution over the pooled nsrdb+nsr2db normative windows (360-beat windows, 120-beat stride), overlaid with the fitted LogNormal prior density. Vertical lines mark the median and the 5–95% range.

Normal-range summary (pooled nsrdb+nsr2db)

statisticvalue
median791.8
IQR (25–75%)427.3 – 1376
5–95% range174.1 – 3158
mean ± sd1108 ± 1114
n windows61715

n varies by feature only through per-window validity over the full pooled nsrdb+nsr2db table (n up to 61 715; e.g. sampen/mse drop windows where the statistic is undefined). ulf is the one exception: a 360-beat (~5 min) window contains no ULF-band power, so it uses a long-window NSRDB-only extraction (see its own page).

Use cases

  • Modified cardiac sympathetic index (4·SD2²/SD1) emphasising long-term spread.
  • Lorenz-plot seizure detection (Jeppesen et al. 2014).
  • Exploratory autonomic-surge screening (no dedicated validation study on file beyond the seizure-detection setting above; use cautiously).

Applications by area

Evidence is reported at the measure-family level; a specific variant may not be the exact index measured in every cited study.

Clinical

Coverage: individual papers. A small, scattered literature with no pooled meta-analysis.

CSI/CVI (Toichi 1997) separates sympathetic/parasympathetic contributions from a single short ECG without pharmacological blockade; reported clinical uses include psychiatric autonomic dysfunction (CVI drops with worsening psychosis) and epilepsy (CSI spikes distinguish epileptic from psychogenic non-epileptic seizures, though the companion CVI measure does not discriminate the same comparison).

Dominant reported direction: CSI up / CVI down under acute stress or pathology; the two halves of the index do not always agree.

Key references: (Toichi et al., 1997); (Jeppesen et al., 2014); (Jeppesen et al., 2016).

Sports & peak performance

Coverage: individual papers. A small, scattered literature with no pooled meta-analysis.

The one on-topic study (elite football) found CVI differs significantly by playing position but not between athletes and non-athlete controls as a whole: a weaker, more qualified version of the classic "athletes have higher vagal tone" story than the RMSSD-based literature tells; otherwise CSI/CVI appear mainly in methodological papers illustrating exercise/postural-change tracking.

Dominant reported direction: position-dependent; no clear athlete-vs.-control effect at the whole-group level.

Key references: (Toichi et al., 1997).

Contemplative practice

Coverage: sparse or none. Essentially no dedicated application literature found.

No study computes CSI/CVI exactly as Toichi (1997) defined them in a meditation/mindfulness/yoga-breathing population; the same Poincaré-geometry construct appears in meditation studies under other names (SD1/SD2 ratio, ad hoc indices), so the literal CSI/CVI label is essentially absent from this domain even though the underlying geometry is well studied.

Dominant reported direction: no data harvested under this name.

Key references: (Toichi et al., 1997).

See the effect-distribution meta-analysis page for the harvested per-study effect sizes/p-values behind these domain summaries (docs/zoo_gen/effect_stats.csv).

Resources

Resource-intensity rank ◍◍◌◌◌ low is measured: median wall-clock time and allocations over a 360-beat window on synthetic realistic RR (docs/zoo_gen/bench_resources.jl; full grid in resource_bench.csv).

metric (360-beat window)value
cold median wall-time0.0358 ms
warm median wall-time0.004068 ms
allocations (cold)32.9 KiB

Cold = fresh memoization caches (builds every shared representation from scratch); warm = shared representations (diff, periodogram, Poincaré coords, DFA fluctuation) already cached, so only this feature is recomputed. The tier is derived from the cold cost; see Geometric subgraph (Poincaré coords / RR histogram + reductions). Warm (shared representation cached) is 9× cheaper.

Citation

Modified / corrected CSI = 4·SD2²/SD1, Jeppesen et al. (2014), Lorenz-plot seizure detection.

Seminal reference(s): (Jeppesen et al., 2014).

See the References page for the full bibliography.