DOI: 10.5281/zenodo.14987740
title: The assessment of HRV and PRV reliability: impact of signal length and calculation window size

description: Funding

SONATA 18 UMO-2022/47/D/ST7/00229 National Science Centre, Poland

SONATA-BIS UMO-2013/10/E/ST7/00117 National Science Centre, Poland

Bartosz Olszewski was supported by the ‘Implementation doctorate 2023’ program, funded by the Ministry of Education and Science in Poland (DWD/7/0063/2023).

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Acknowlegements:

We would like to thank Piotr Urbański, MD and Tomasz Szczepański, MD PhD for their assistance in laboratory measurements

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General information:

This database contains three files:

a) FILE 1 (“ECG_very_short_term_recordings.xlsx”) very short-term recordings

Seventy subjects (median age: 23 (21-25) years; 31 men, 39 women) were included in the analysis of the impact of signal length (5 min, 3 min) on HRV metrics (derived from ECG). All volunteers were measured at the Neuroengineering Laboratory at Wroclaw University of Science and Technology (WUST) between October 2014 and June 2015; Bioethical Committee agreement: KB–170/2014 (database 1) and between October 2023 and January 2024; Bioethical Committee agreement: KB–179/2023/N (database 2)

 

b) FILE 2 (“nABP_very_short_term_recordings.xlsx”) very short-term recordings

Eighty-eight subjects (median age: 22 (21-25) years; 36 men, 52 women) were included in the analysis of the impact of signal length (5 min, 3 min) on PRV metrics (derived from non-invasive ABP). All volunteers were measured at the Neuroengineering Laboratory at Wroclaw University of Science and Technology (WUST) between October 2014 and June 2015; Bioethical Committee agreement: KB–170/2014 (database 1) and between October 2023 and January 2024; Bioethical Committee agreement: KB–179/2023/N (database 2)

 

c) FILE 3 (“short_term_recordings.xlsx”) short-term recordings

Sixteen subjects (median age: 21 (19-24) years; 9 men, 7 women) were included in the analysis of the impact of window length (15 min, 5 min, and 3 min) on HRV and PRV metrics derived from 15 minutes of recordings. All volunteers were measured at the Neuroengineering Laboratory at Wroclaw University of Science and Technology (WUST) between October 2023 and January 2024; Bioethical Committee agreement: KB–179/2023/N

 

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Detailed description of files:

FILE 1



Metrics are derived from the electrocardiogram (ECG) and labelled as "ECG" in the ‘Signal’ column.

Two signal lengths were used (column: ‘length’): 3 minutes and 5 minutes. Metrics derived from 5-minute signals appear as the second set and include “_2” in the column name.

The database is marked as “database 1” and “database 2” (see details above).

Columns include:



Participant: anonymized participant label

Demographics: age, sex

Device: device used for ECG recordings

Autonomic Nervous System Metrics: Standard time-domain, frequency-domain, and nonlinear metrics, including:



Time-Domain Metrics:



meanNN – Mean interval between normal R-peaks

SDNN – Standard deviation of R-R intervals

RMSSD – Square root of the mean squared successive differences between adjacent R-R intervals

pNN20, pNN50 – Proportion of R-R intervals greater than 20 ms or 50 ms, respectively


Frequency-Domain Metrics:



LFn, HFn – Normalized power spectral density in the low-frequency (LF, 0.04–0.15 Hz) and high-frequency (HF, 0.15–0.40 Hz) ranges, obtained by dividing the respective power spectra by total power (TP, 0.04–0.40 Hz)

LF/HF – Low-to-high frequency ratio


Nonlinear Metrics:



SD1 – Poincaré plot standard deviation perpendicular to the line of identity

SD2 – Poincaré plot standard deviation along the line of identity

MSEn – Multiscale entropy

ApEn – Approximate entropy

SampEn – Sample entropy

FuzzyEn – Fuzzy entropy





FILE 2



Metrics are derived from non-invasive arterial blood pressure (nABP) and labelled as "nABP" in the ‘Signal’ column.

Two signal lengths were used (column: ‘length’): 3 minutes and 5 minutes. Metrics derived from 5-minute signals appear as the second set and include “_2” in the column name.

The database is marked as “database 1” and “database 2” (see details above).

Columns include:



Participant: Anonymized participant label

Demographics: Age, sex

Device: Device used for nABP recordings

Autonomic Nervous System Metrics: (same metrics as in FILE 1)



FILE 3



Signals derived from non-invasive arterial blood pressure (nABP) are presented first and labelled as "nABP" in the ‘Signal’ column.

Signals derived from the electrocardiogram (ECG) are presented second and labelled as "ECG" in the ‘Signal’ column. Metrics for ECG signals include “_2” in the column name.

Columns include:



Participant: Anonymized participant label

Demographics: Age, sex

Device: Device used for nABP and ECG recordings

Window Size: Size of the calculation window

Autonomic Nervous System Metrics: (same metrics as in FILE 1 and FILE 2)