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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: martin.lajdolf@vsb.cz 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.