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Approximately 10\% of newborns require assistance to initiate breathing at birth, and around 5\% need ventilation support. Fetal heart rate (FHR) monitoring plays a crucial role in assessing fetal well-being during prenatal care, enabling…

机器学习 · 计算机科学 2025-09-26 Kjersti Engan , Neel Kanwal , Anita Yeconia , Ladislaus Blacy , Yuda Munyaw , Estomih Mduma , Hege Ersdal

Approximately 10% of newborns require assistance to initiate breathing at birth, and around 5% need ventilation support. Fetal heart rate (FHR) monitoring plays a crucial role in assessing fetal well-being during prenatal care, enabling the…

人工智能 · 计算机科学 2026-05-29 Kjersti Engan , Neel Kanwal , Anita Yeconia , Ladislaus Blacy , Yuda Munyaw , Estomih Mduma , Hege Ersdal

Estimation of the fetal heart rate (FHR) has gained interest in the last century, low heart rate variability has been studied to identify intrauterine growth restricted fetuses (prepartum), and abnormal FHR patterns have been associated…

计算机视觉与模式识别 · 计算机科学 2016-06-06 Joachim Behar

Long-term fetal heart rate (FHR) monitoring during the antepartum period, increasingly popularized by electronic FHR monitoring, represents a growing approach in FHR monitoring. This kind of continuous monitoring, in contrast to the…

机器学习 · 计算机科学 2024-01-30 Zenghui Lin , Xintong Liu , Nan Wang , Ruichen Li , Qingao Liu , Jingying Ma , Liwei Wang , Yan Wang , Shenda Hong

A database of fetal heart rate (FHR) time series measured from 7221 patients during labor is analyzed with the aim of learning the types of features of these recordings that are informative of low cord pH. Our 'highly comparative' analysis…

机器学习 · 计算机科学 2014-12-04 B. D. Fulcher , A. E. Georgieva , C. W. G. Redman , Nick S. Jones

Cardiotocography (CTG) is the main tool used for fetal monitoring during labour. Interpretation of CTG requires dynamic pattern recognition in real time. It is recognised as a difficult task with high inter- and intra-observer disagreement.…

机器学习 · 计算机科学 2021-11-02 M. O'Sullivan , T. Gabruseva , G. Boylan , M. O'Riordan , G. Lightbody , W. Marnane

Objective: To develop and interpret a supervised variational autoencoder (VAE) model for classifying cardiotocography (CTG) signals based on pregnancy outcomes, addressing interpretability limits of current deep learning approaches.…

机器学习 · 计算机科学 2025-09-09 John Tolladay , Beth Albert , Gabriel Davis Jones

Objective: Atrial fibrillation (AF) is the most common cardiac arrhythmia experienced by intensive care unit (ICU) patients and can cause adverse health effects. In this study, we publish a labelled ICU dataset and benchmarks for AF…

Motivation. Phonocardiography can give access to the fetal heart rate as well as direct heart sound data, and is entirely passive, using no radiation of any kind. Approach. We discuss the currently available methods for fetal heart sound…

音频与语音处理 · 电气工程与系统科学 2025-07-16 Kristóf Müller , Janka Hatvani , Márton Áron Goda , Miklós Koller

Fetal heart rate (FHR) monitoring, before and during labor, is a very important medical practice in the detection of fetuses in danger. We clustered FHR tracings by compression in order to identify abnormal ones. We use a recently…

组织与器官 · 定量生物学 2007-05-23 C. Costa Santos , J. Bernardes , P. Vitanyi , L. Antunes

Cardiotocography (CTG) is a key element when it comes to monitoring fetal well-being. Obstetricians use it to observe the fetal heart rate (FHR) and the uterine contraction (UC). The goal is to determine how the fetus reacts to the…

信号处理 · 电气工程与系统科学 2022-10-03 Julien Bertieaux , Mohammadhadi Shateri , Fabrice Labeau , Thierry Dutoit

Introduction: Chest CT scans are increasingly used in dyspneic patients where acute heart failure (AHF) is a key differential diagnosis. Interpretation remains challenging and radiology reports are frequently delayed due to a radiologist…

Fetal heart rate variability (fHRV) is an important indicator of health and disease, yet its physiological origins, neural contributions in particular, are not well understood. We aimed to develop novel experimental and data analytical…

The overarching goal of the present work is to contribute to the understanding of the relations between fetal heart rate (FHR) temporal dynamics and the well-being of the fetus, notably in terms of predicting cardiovascular decompensation…

医学物理 · 物理学 2021-10-19 Stéphane G. Roux , Nicolas B. Garnier , Patrice Abry , Nathan Gold , Martin G. Frasch

Remote fetal monitoring technologies are becoming increasingly common. Yet, most current systems offer limited interpretability, leaving expectant parents with raw cardiotocography (CTG) data that is difficult to understand. In this work,…

机器学习 · 计算机科学 2025-07-31 Black Sun , Die , Hu

We present a novel computerized fetal heart rate intrapartum algorithm for early and individualized prediction of fetal cardiovascular decompensation, a key event in the causal chain leading to brain injury. This real-time machine learning…

定量方法 · 定量生物学 2021-04-21 Nathan Gold , Christophe L. Herry , Xiaogang Wang , Martin G. Frasch

Phonocardiogram (PCG) signal analysis is a critical, widely-studied technology to noninvasively analyze the heart's mechanical activity. Through evaluating heart sounds, this technology has been chiefly leveraged as a preliminary solution…

信号处理 · 电气工程与系统科学 2021-10-13 Reza Khanmohammadi , Mitra Sadat Mirshafiee , Mohammad Mahdi Ghassemi , Tuka Alhanai

Intrapartum fetal heart rate (FHR) monitoring constitutes a reference tool in clinical practice to assess the baby health status and to detect fetal acidosis. It is usually analyzed by visual inspection grounded on FIGO criteria.…

In this paper, the field programmable gate array (FPGA) implementation of a fetal heart rate (FHR) monitoring system is presented. The system comprises of a preprocessing unit to remove various types of noise, followed by a fetal…

信号处理 · 电气工程与系统科学 2020-02-20 Bhavya Vasudeva , Puneesh Deora , Pyari Mohan Pradhan , Sudeb Dasgupta

Congenital heart disease (CHD) is a critical condition that demands early detection, particularly in infancy and childhood. This study presents a deep learning model designed to detect CHD using phonocardiogram (PCG) signals, with a focus…

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