Supplementary Materials for "Unlocking the Biometric Potential of Cardiographic Signals: Insights from Feature Selection"
The repository contains Supplementary materials for the "Unlocking cardiographic-based biometric potential: Insights from feature selection" paper. If you find provided materials 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. (2025). Unlocking cardiographic-based biometric potential: Insights from feature selection. Submitted.
Institutions
- University of Ljubljana (SI)
- University of Belgrade (RS)
- Human Factors (Norway) (NO)
- Technological University Dublin (IE)
- University of Belgrade - School of Electrical Engineering
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-02-03
- DOI
- https://doi.org/10.5281/zenodo.14795016
- Primary Topic
- ECG Monitoring and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00