Digital phenotyping from heart rate dynamics: Identification of zero-poles models with data-driven evolutionary learning
- DOI
- 10.1016/j.compbiomed.2024.109596
- Published
- 2025-03
- Container
- Computers in Biology and Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiomed.2024.109596,
title = {Digital phenotyping from heart rate dynamics: Identification of zero-poles models with data-driven evolutionary learning},
author = {Adrian Patrascu and Andreea Ion and Maarja Vislapuu and Bettina S. Husebo and Irina Andra Tache and Haakon Reithe and Monica Patrascu},
year = {2025},
journal = {Computers in Biology and Medicine},
doi = {10.1016/j.compbiomed.2024.109596},
url = {https://doi.org/10.1016/j.compbiomed.2024.109596}
}RIS
TY - JOUR TI - Digital phenotyping from heart rate dynamics: Identification of zero-poles models with data-driven evolutionary learning AU - Adrian Patrascu AU - Andreea Ion AU - Maarja Vislapuu AU - Bettina S. Husebo AU - Irina Andra Tache AU - Haakon Reithe AU - Monica Patrascu PY - 2025 JO - Computers in Biology and Medicine DO - 10.1016/j.compbiomed.2024.109596 UR - https://doi.org/10.1016/j.compbiomed.2024.109596 ER -
APA
Patrascu, A., Ion, A., Vislapuu, M., Husebo, B. S., Tache, I. A., Reithe, H., & Patrascu, M. (2025). Digital phenotyping from heart rate dynamics: Identification of zero-poles models with data-driven evolutionary learning. Computers in Biology and Medicine. https://doi.org/10.1016/j.compbiomed.2024.109596
Source records
- crossref · retrieved 2026-09-25T20:05:09.271Z