activity
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

collaborators

16 papers

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…

q-bio.QM2025

Heart Rate Variability Patterns Reflect Yoga Intervention in Chronically Stressed Pregnant Women: A Quasi-Randomized Controlled Trial

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

Prenatal maternal stress (PS) is a risk factor for adverse offspring neurodevelopment. Heart rate variability (HRV) complexity provides a non-invasive marker of maternal autonomic…

q-bio.QM2025

Cross-Domain Transfer of Depression Voice Biomarkers Depends on the Outcome Instrument: Leakage-Controlled Cross-Sectional Evaluation Study

Rachel L. Wiley, James Schwoebel, Matias Caccia +4

Whether voice biomarkers of depression generalize across clinical settings is largely untested. Generalization is usually framed as a question about populations. It is also a quest…

q-bio.QM2021

Detection of preventable fetal distress during labor from scanned cardiotocogram tracings using deep learning

Martin G. Frasch, Shadrian B. Strong, David Nilosek +2

Despite broad application during labor and delivery, there remains considerable debate about the value of electronic fetal monitoring (EFM). EFM includes the surveillance of the fe…

q-bio.NC2021★ 1 cited

Update on the multimodal pathophysiological dataset of gradual cerebral ischemia in a cohort of juvenile pigs: auditory, sensory and high-frequency sensory evoked potentials

Martin G. Frasch, Bernd Walter, Christoph Anders +1

We expand from a spontaneous to an evoked potentials (EP) data set of brain electrical activities as electrocorticogram (ECoG) and electrothalamogram (EThG) in juvenile pig under v…

q-bio.QM2020★ 47 cited

Detection of Maternal and Fetal Stress from the Electrocardiogram with Self-Supervised Representation Learning

Pritam Sarkar, Silvia Lobmaier, Bibiana Fabre +5

In the pregnant mother and her fetus, chronic prenatal stress results in entrainment of the fetal heartbeat by the maternal heartbeat, quantified by the fetal stress index (FSI). D…

q-bio.QM2018★ 15 cited

Heart rate variability monitoring identifies asymptomatic toddlers exposed to Zika virus during pregnancy

Christophe L. Herry, Helena M. F. Soares, Lavinia Schuler-Faccini +1

Although Zika virus (ZIKV) seems to be prominently neurotropic, there are some reports of involvement of other organs, particularly the heart. Of special concern are those children…

q-bio.QM2018★ 15 cited

Unexpected sawtooth artifact in beat-to-beat pulse transit time measured from patient monitor data

Yu-Ting Lin, Yu-Lun Lo, Chen-Yun Lin +2

Object: It is increasingly popular to collect as much data as possible in the hospital setting from clinical monitors for research purposes. However, in this setup the data calibra…