ArticleActa neurologica Belgica2026
A novel application of the lorenz plot method for ultra-short-term evaluation of autonomic nervous function.
Article in Acta neurologica Belgica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHeart rate variability (HRV) analysis is widely used to assess autonomic nervous function (ANF); however, conventional frequency-domain indices require recording durations that may limit their applicability in settings requiring rapid or repeated measurements. This study investigated whether measurement duration could be reduced by estimating high-frequency power (HF), an index of parasympathetic modulation, from ultra-short-term (UST) recording windows using a Lorenz plot (LP)-based estimation model.
methodsElectrocardiographic data were recorded during a 2-min resting, eyes-closed condition. HF was calculated exclusively from the full 120-s recording using frequency-domain analysis and served as the reference outcome. LP indices were computed from progressively shorter R-R interval (RRI) windows (120-5 s) and, together with age, were used to construct regression models to estimate the 120-s HF reference value. No frequency-domain analysis was performed on the shortened windows.
resultsThe LP-based estimation model demonstrated robust performance across window lengths. Even when LP indices were computed from as little as 5 s of data, the model retained acceptable predictive accuracy for estimating the HF reference value derived from the 120-s recording (adjusted R
conclusionsParasympathetic modulation reflected in conventional 120-s frequency-domain HF analysis can be estimated with practical accuracy from UST recordings as short as 5 s using the LP-based estimation model. The proposed model does not confer interchangeability with standard frequency-domain HF indices across time scales. Rather, it offers a practical marker for rapid estimation of the 120-s frequency-domain HF reference value when longer recordings are impractical.
Indexed as
Identifiers
41843028What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.