Dataset for CardioPRINT-based Biometric Identification

This repository contains ECG and ICG signals with timestamp tables (timestamps_with_neutral.csv, timestamps_without_neutral.csv) indicating the beginning and the end of each emotional state used in the paper titled " CardioPRINT: Biometric identification based on the individual characteristics derived from the cardiogram". The dataset is shared openly on the Zenodo repository with a Creative Commons Attribution 4.0 International license Additionally, the repository comprises extracted timestamps for segments that describe emotional states and feature sets for both ECG and ICG recordings. We applied a selective editing process to the signal, where segments deemed irrelevant were omitted. The remaining segments, identified as significant due to their association with changes in emotions as per the timestamp table, were concatenated. This resulted in a non-continuous signal, characterized by discontinuities at the specific timestamps where emotional shifts were noted.Moreover, the repository contains a Supplementary to the paper titled "CardioPRINT: Biometric identification based on the individual characteristics derived from the cardiogram".If you find provided signals and code useful for your own research and teaching class, please cite the following references:Tanasković, I., Lazarević, L. B., Knežević, G., Milosavljević, N., Dubljević, O., Bjegojević, B., & Miljković, N. (2023). CardioPRINT-based Biometric Identification with Machine Learning [Computer software]. https://github.com/Luck032/CardioPRINT-based-biometric-identification-with-machine-learning, https://doi.org/10.5281/zenodo.10204894Tanasković, I., Lazarević, L. B., Knežević, G., Milosavljević, N., Dubljević, O., Bjegojević, B., & Miljković, N. (2024). CardioPRINT: Biometric identification based on the individual characteristics derived from the cardiogram. Expert Systems with Applications, 126018. https://doi.org/10.1016/j.eswa.2024.126018Bjegojević B, Milosavljević N, Dubljević O, Purić D, Knežević G. In pursuit of objectivity: Physiological Measures as a Means of Emotion Induction Procedure Validation. Empirical Studies in Psychology 2020:17.Tanasković, I., Lazarević, L. B., Knežević, G., Milosavljević, N., Dubljević, O., Bjegojević, B., & Miljković, N. (2023). Dataset for CardioPRINT-based Biometric Identification [Dataset]. https://doi.org/10.5281/zenodo.1020495