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

This system represents an early prototype of bioadaptive AI, in which physiological signals are incorporated as part of the model's input context.

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Publication Details

Journal
Frontiers in Digital Health
Published
2025-09-26
DOI
https://doi.org/10.3389/fdgth.2025.1670464
Primary Topic
Heart Rate Variability and Autonomic Control
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Morris Gellisch, Boris Burr
Frontiers in Digital Health
Heart Rate Variability and Autonomic Control
article

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

Morris Gellisch, Boris Burr
article en

Abstract

This system represents an early prototype of bioadaptive AI, in which physiological signals are incorporated as part of the model's input context.

Frontiers in Digital HealthVol. 7
University of Zurich (CH), University Hospitals of the Ruhr-University of Bochum (DE), Zurich University of Teacher Education (CH), Zurich University of the Arts (CH), Ruhr University Bochum (DE)
Universität Zürich
Openalex Percentile: Top 60%
Heart Rate Variability and Autonomic Control
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