Data for "Textile Electrode Size and Placement Influence on Electrocardiography Monitoring"

------------------------------------------------------------------Basic information------------------------------------------------------------------ 1. Journal article: Textile Electrode Size and Placement Influence on Electrocardiography Monitoring 2. DOI:10.5281/zenodo.20842468 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: 2026-25-065. Place of publication: Ostrava, Czechia ------------------------------------------------------------------6. Dataset description------------------------------------------------------------------ --- data_experiment/ – experiment data and source codes: Electrode sizes/ – QRS morphology measurements for three electrode sizes (2×2, 4×4, 6×6 cm) at two body locations (chest, back) across 15 subjects; results are evaluated using Pearson correlation and mean squared error (MSE) against a reference channelPhysical activity/ – R-peak detection accuracy measurements during four physical activities (walking 4 km/h, walking 5 km/h, dumbbell exercises, squats) across 15 subjects; results are evaluated using F1 score, ACC, SE, and PPVSource codes/ – Python scripts for all analyses and figures:main.py – overall QRS morphology analysis for the electrode size experiment; generates tables used for boxplot constructionsizes_ACC_f1.py – computes R-peak detection F1 score on the electrode size datasetmotions_ACC_f1.py – computes R-peak detection F1 score on the physical activity datasetplots.py – generates boxplots for the electrode size analysis --- data_learning/ – training dataset for the R-peak detection neural network (DNN_model.keras): signals/ – 315 single-lead ECG records in CSV formatannotations/ – 315 corresponding R-peak annotation files in CSV format ------------------------------------------------------------------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.------------------------------------------------------------------