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20182026
most citedDetection of Maternal and Fetal Stress from the Electrocardiogram with Self-Supervised Representation Learning

47 citations · 78 across the 15 of their papers we have counts for

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Showing 2026Show all

9 papers · 1 filter

cs.LG2026

Planetary Geospatial Foundation Models: A New Paradigm for Global Public Health

Arbaaz Muslim, Aviv Slobodkin, Katherine Wheeler-Martin +35

The efficacy of traditional disease prediction is limited by spatial gaps and temporal lags, which impact the timing and targets of resource deployments. Outbreaks escalate undetec…

cs.LG2026

World-Time Compute with Verified Code World Models

James Schwoebel, Ingrida Semenec, Jenia Rousseva +8

LLMs generalize across a domain only after seeing many real, labeled examples, which most domains lack. We study a way to manufacture it cheaply. When a domain's dynamics can be wr…

q-bio.QM2026

Maternal Anxiety During Pregnancy and Predictive Processing Across Development: A Cross-Cohort Empirical Reappraisal

Bea R. H. Van den Bergh, Martin G. Frasch

Prenatal maternal distress has been linked to differences in offspring brain and behavioural development, but is rarely framed computationally. Predictive-processing (PP) accounts…

cs.LG2026

minAction.net: Energy-First Neural Architecture Design -- From Biological Principles to Systematic Validation

Martin G. Frasch

Modern machine learning optimizes for accuracy without explicit treatment of internal computational cost, even though physical and biological systems operate under intrinsic energy…

cs.LG2026

Minimum-Action Learning: Energy-Constrained Symbolic Model Selection for Physical Law Identification from Noisy Data

Martin G. Frasch

Identifying physical laws from noisy observational data is a central challenge in scientific machine learning. We present Minimum-Action Learning (MAL), a framework that selects sy…

q-bio.QM2026

Dose-Dependent Cardiac Complexity Changes in Children Following Prenatal Glucocorticoid Exposure: Complementary Evidence from Multiscale Entropy Analysis and ECG Foundation Models

Nicolas B. Garnier, Michelle Dreiling, Valeska Kozik +3

\noindent\textbf{Background} Prenatal glucocorticoid exposure alters cardiac development, but whether persistent cardiac effects in childhood follow a dose-response relationship re…

physics.med-ph2026

Inter-Electrode Pulse Wave Velocity: A Direct Method for Maternal Arterial Stiffness Assessment During Pregnancy Using Multi-Channel ECG

Nicolas B. Garnier, Marlene J. E. Mayer, Clara Becker +3

Objective: To validate a novel inter-electrode pulse wave velocity (PWV) method that measures pulse propagation between ECG electrodes without left ventricular ejection time (LVET)…

q-bio.QM2026

Prenatal Stress Detection from Electrocardiography Using Self-Supervised Deep Learning: Development and External Validation

Martin G. Frasch, Marlene J. E. Mayer, Clara Becker +4

Prenatal psychological stress affects 15-25% of pregnancies and increases risks of preterm birth, low birth weight, and adverse neurodevelopmental outcomes. Current screening relie…

q-bio.QM2026

Measuring the time-scale-dependent information flow between maternal and fetal heartbeats during the third trimester

Nicolas B. Garnier, Maria S. Molinet, Marta C. Antonelli +2

Prenatal maternal stress alters maternal-fetal heart rate coupling, as demonstrated by the Fetal Stress Index derived from bivariate phase-rectified signal averaging. Here, we exte…