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Digital phenotyping from heart rate dynamics: Identification of zero-poles models with data-driven evolutionary learning.

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Bibliographic Details
Title: Digital phenotyping from heart rate dynamics: Identification of zero-poles models with data-driven evolutionary learning.
Authors: Patrascu A; Centre for Interdisciplinary Research in Physical Education and Sport, Babes-Bolyai University, Cluj-Napoca, Romania., Ion A; Complex Systems Laboratory, University Politehnica of Bucharest, Bucharest, Romania., Vislapuu M; Centre for Elderly and Nursing Home Medicine, University of Bergen, Bergen, Norway; Department of Nursing, VID Specialized University, Bergen, Norway., Husebo BS; Centre for Elderly and Nursing Home Medicine, University of Bergen, Bergen, Norway; Neuro-SysMed Center, University of Bergen, Bergen, Norway., Tache IA; Department of Automatic Control and Systems Engineering, University Politehnica of Bucharest, Bucharest, Romania; Department of Image Fusion and Analytics, Siemens SRL, Brasov, Romania., Reithe H; Centre for Elderly and Nursing Home Medicine, University of Bergen, Bergen, Norway; Neuro-SysMed Center, University of Bergen, Bergen, Norway., Patrascu M; Complex Systems Laboratory, University Politehnica of Bucharest, Bucharest, Romania; Centre for Elderly and Nursing Home Medicine, University of Bergen, Bergen, Norway; Neuro-SysMed Center, University of Bergen, Bergen, Norway. Electronic address: monica.patrascu@uib.no.
Source: Computers in biology and medicine [Comput Biol Med] 2025 Mar; Vol. 186, pp. 109596. Date of Electronic Publication: 2024 Dec 27.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0534
DOI:10.1016/j.compbiomed.2024.109596