Establishing a real-time biomarker-to-LLM interface: a modular pipeline for HRV signal acquisition, processing, and physiological state interpretation via generative AI.

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Bibliographic Details
Title: Establishing a real-time biomarker-to-LLM interface: a modular pipeline for HRV signal acquisition, processing, and physiological state interpretation via generative AI.
Authors: Gellisch M; Center for Medical Education, Ruhr University Bochum, Bochum, Germany.; Department of Anatomy and Molecular Embryology, Institute of Anatomy, Medical Faculty, Ruhr University Bochum, Bochum, Germany.; Dean of Studies Office, University of Zurich, Zurich, Switzerland., Burr B; Department of Neuroanatomy and Molecular Brain Research, Medical Faculty, Ruhr University Bochum, Bochum, Germany.
Source: Frontiers in digital health [Front Digit Health] 2025 Sep 26; Vol. 7, pp. 1670464. Date of Electronic Publication: 2025 Sep 26 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101771889 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-253X (Electronic) Linking ISSN: 2673253X NLM ISO Abbreviation: Front Digit Health Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2673-253X
DOI:10.3389/fdgth.2025.1670464