Data for study "The Influence of External Factors on Signal-Averaged Electrocardiography"

Basic information

1. Journal article: The Influence of External Factors on Signal-Averaged Electrocardiography

2. DOI: 10.5281/zenodo.17531896

3. Contact information   Name: Martin Lajdolf   Institution: VSB-Technical University of Ostrava   E-mail: [e-mail]   ORCID: https://orcid.org/0009-0008-3632-9007

4. Dataset publication date: 2025-05-11

5. Place of publication: Ostrava, Czechia

------------------------------------------------------------------6. Dataset Description================================================================================

This dataset (version 2 with another 30 subjects and Mason-Likar system)contains .csv files with recorded signals and evaluationparameters, as well as a Python script used to generate the figures presented in the article. When using the script, please follow the instructions provided in its header. 

IMPORTANT: Do not modify the file locations within the folder structure.

Folder Structure--------------------------------------------------------------------------------

saecg_dataset (contains 2 subfolders and 1 Python file)│├── data (contains all signals organized in 30 subfolders: subject_001 to subject_030)       │   ││   └── subject_001 (contains 6 subfolders: M1 to M6)│       ││       └── M1 (contains 5 .csv files, described below)│├── parameters (contains 3 .csv files with SAECG evaluation parameters for │               different frequency bands, generated by the measuring device)│└── signals_plot.py (Python script for plotting the data)

File Descriptions--------------------------------------------------------------------------------

Each measurement folder (M1-M6) contains the following files:

• NotFilteredData.csv  Raw ECG signals

• OrthogonalData.csv  VCG signals with basic preprocessing applied by the device

• VM_resultsFilter25.csv  Vector magnitude data for frequency band 25-250 Hz

• VM_resultsFilter40.csv  Vector magnitude data for frequency band 40-250 Hz

• VM_resultsFilter80.csv  Vector magnitude data for frequency band 80-250 Hz--------------------------------------------------------------------------------

7. Funding: This work was supported by the European Regional Development Fund under the project Research Platform for Digital Transformation and Society 5.0 CZ.02.01.01/00/23_021/0012599 within the Jan Amos Komensky Operational Program.