Reproducibility archive: baroreflex winding number as a cardiac autonomic biomarker
Year: 2026
Type: preprint
Abstract: # Reproducibility Archive — "The baroreflex winding number"submitted 2026 **Author:** R. A. Satnoianu **Affiliation: Oxford, UK **Contact:** [email protected] **Zenodo DOI:** https://doi.org/10.5281/zenodo.20359900 --- ## Purpose of this deposit This archive contains the analysis code that reproduces **all numericalresults, Table 1, Figure 3, and Figure 4** in the paper: > Satnoianu RA. "The baroreflex winding number: a theoretically grounded> frequency-ratio biomarker of cardiac autonomic function."> submitted 2026. The code is a **paper-specific reproducibility archive**. It is scopedexactly to the datasets, segments, and quality criteria described in thepaper. It is not a general-purpose library or production implementation. --- ## Access and licensing **This deposit is restricted access.** To request the files, use theZenodo request button. Access is granted to: - Academic researchers for the purpose of verifying or building upon the results in the paper (permitted under CC BY-NC-ND 4.0 below).- Journalists and science communicators assessing the work. **Commercial use — including incorporation into any product, device,service, or clinical workflow — is not permitted under this licenceand requires a separate written commercial licence agreement.** To enquire about a commercial licence, contact:[email protected] The baroreflex winding number method is additionally protected byUS Provisional Patent Applications:- 64/071,377 (FW-PROV-23, filed 21 May 2026)- 64/072,074 (FW-PROV-24, filed 22 May 2026)- 64/073,209 (FW-PROV-25, filed 23 May 2026)- 64/073,236 (FW-PROV-26, filed 23 May 2026) --- ## Licence **Creative Commons Attribution–NonCommercial–NoDerivatives 4.0International (CC BY-NC-ND 4.0)** You are free to share this material for non-commercial purposes, withattribution, and without modification or adaptation. See LICENSE fileand https://creativecommons.org/licenses/by-nc-nd/4.0/ for full terms. Commercial use of any kind — including use in medical devices, clinicalsoftware, wellness applications, biofeedback products, or any revenue-generating context — requires a separate commercial licence. [email protected]. --- ## Contents ```results_omega_B.json Pre-computed results: Table 1 individual values, CHF aggregate statistics, all reported statistics.plot_figures.py Reads the JSON; prints Table 1; saves Figure 3 and Figure 4 (see note on figure numbering below). No signal processing — no PhysioNet download needed.requirements.txt Python dependencies (numpy, scipy, matplotlib only)LICENSE CC BY-NC-ND 4.0 licence textREADME.md This file``` **Note on figure numbering:** The script saves output files named`fig1_fantasia.pdf` and `fig2_crosscohort.pdf`. These correspond to**Figure 3** (Fantasia age comparison) and **Figure 4** (CHF cross-cohortcomparison) in the published paper. Figures 1 and 2 of the paper (SHHSpopulation distribution and covariate stability) are derived from theSHHS-1 dataset and are not included in this archive. **What is and is not deposited:**The JSON contains the pre-computed ω_B values, f_LF, f_RESP, and statisticsthat underlie Table 1 and Figures 3–4. The signal processing pipeline thatproduced these values (R-peak detection, Welch PSD estimation, RR interpolation,quality filtering) is described fully in the paper Methods section (§2.2–2.3)and is covered by the patent applications listed above. Raw physiologicalsignals are available from PhysioNet (see below). --- ## Raw datasets (not included — freely available from PhysioNet) - **Fantasia Database:** https://physionet.org/content/fantasia/1.0.0/- **CHF2DB Database:** https://physionet.org/content/chf2db/1.0.0/ > Goldberger AL, et al. PhysioBank, PhysioToolkit, and PhysioNet.> *Circulation* 2000;101(23):e215–e220. --- ## Reproducing the paper results ### Requirements Python 3.9+. No PhysioNet download required. ```bashpip install -r requirements.txt``` ### Running ```bashpython plot_figures.py``` This will:1. Read `results_omega_B.json`2. Print Table 1 to stdout and re-compute primary statistics3. Save `fig1_fantasia.pdf` (= Figure 3 in paper, six panels)4. Save `fig2_crosscohort.pdf` (= Figure 4 in paper, three panels) Expected runtime: < 30 seconds. ### Expected output Table 1 values should match the paper to within floating-point precision.Mann-Whitney U=17, p=0.037 (one-sided), Cohen d=1.14 (Fantasia primary).Cross-cohort: Young vs CHF p=0.038, d=0.88. --- ## Related deposits This deposit (DOI: 10.5281/zenodo.20359900) contains the focusedreproducibility archive for the Frontiers in Physiology baroreflex winding number paper. --- *Last updated: 1 August 2026*
Author: Satnoianu, Razvan
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W7162195523
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