Nonlinear method to assess autonomic modulation during controlled breathing: dataset

Please, cite this article if using dataset:

A. Uryga, M. Najdek, M. Najda, C. Mataczyński and T. Buchner, "Nonlinear Method to Assess Autonomic Modulation During Controlled Breathing," 2024 13th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO), ZARAGOZA, Spain, 2024, pp. 1-2, doi: 10.1109/ESGCO63003.2024.10766976.

General information:

This database contains data from 34 young healthy volunteers (median age: 22 years, range: 18-31 years) who were measured at the Neuroengineering Laboratory at Wroclaw University of Science and Technology (WUST) between October 2023 and January 2024.

The study was approved by the bioethical committee (KB-179/2023/N).

We would like to thank Prof. Magdalena Kasprowicz, the head of the Brain Physics group (https://www.brainlab.pwr.edu.pl/), for her help and support during the research.

The study was support by National Science Centre, Poland (UMO-2022/47/D/ST7/00229).

Signal recordings description:

ABP was measured non-invasively by a servo-controlled plethysmograph (CNAP, CNSystems Medizintechnik GmbH, Graz, Austria, in n = 19 subjects, and Finapres Nova, FMS Medical Systems, in n = 15 subjects). The cuff was placed on the middle finger of the left hand and held at the level of the heart.

Expired end-tidal CO2 (EtCO2), carbon dioxide (CO2) concentration, and respiratory rate (RR) were measured via a nasal cannula using a portable capnography monitor (RespSense™, NONIN, Plymouth, USA).

Protocol: After a resting epoch lasting at least 5 minutes, a controlled breathing session was initiated with three 5-minute recordings at respiratory rates of 6, 10, or 15 breaths/min (0.1 Hz, 0.17 Hz, and 0.25 Hz, respectively), guided by a digital metronome.

Data description:

Metadata: Including device, gender (male M, female F), and age

Autonomic Nervous System parameters: Including

Phase-Rectified Signal Averaging (PRSA) - a non-linear approach used to quantify the acceleration (AC) and deceleration (DC) capacity of the heart

Entropy: Fuzzy entropy (FuzzyEn) functions calculated for R-R intervals, which were implemented in NeuroKit2

Joint Symbolical Analysis (JSA) - a method that identifies short-term repeated patterns in a signal (JSA_sym and JSA_diam)

Physiological parameters: Including

Mean arterial blood pressure (ABP)

Mean end-tidal carbon dioxide (EtCO2)

Mean heart rate (HR)