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Related papers: Noninvasive Fetal Electrocardiography: Models, Tec…

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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 fetal heart rate (FHR) patterns in conjunction with the…

Quantitative Methods · Quantitative Biology 2021-12-06 Martin G. Frasch , Shadrian B. Strong , David Nilosek , Joshua Leaverton , Barry S. Schifrin

Adequate fetal and neonatal development depend upon the presence of a normal acid-base environment during pregnancy and the smooth transition from intra-uterine to extra-uterine life. Current methods to assess fetal pH and acid-base status…

Medical Physics · Physics 2019-10-04 Jacques Balayla

An electrocardiogram (EKG) is a common, non-invasive test that measures the electrical activity of a patient's heart. EKGs contain useful diagnostic information about patient health that may be absent from other electronic health record…

Machine Learning · Statistics 2018-12-04 Andrew C. Miller , Ziad Obermeyer , David M. Blei , John P. Cunningham , Sendhil Mullainathan

Analysis of the fetal heart rate during pregnancy is essential for monitoring the proper development of the fetus. Current fetal heart monitoring techniques lack the accuracy in fetal heart rate monitoring and features acquisition,…

Medical Physics · Physics 2021-07-21 Malika Jallouli , Sabrine Arfaoui , Anouar Ben Mabrouk , Carlo Cattani

Fetal movement count monitoring is one of the most commonly used methods of assessing fetal well-being. While few methods are available to monitor fetal movements, they consist of several adverse qualities such as unreliability as well as…

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…

Signal Processing · Electrical Eng. & Systems 2021-10-13 Reza Khanmohammadi , Mitra Sadat Mirshafiee , Mohammad Mahdi Ghassemi , Tuka Alhanai

The detection of abnormal fetal heartbeats during pregnancy is important for monitoring the health conditions of the fetus. While adult ECG has made several advances in modern medicine, noninvasive fetal electrocardiography (FECG) remains a…

Signal Processing · Electrical Eng. & Systems 2023-02-28 Yu Xuan , Xiangyu Zhang , Shuyue Stella Li , Zihan Shen , Xin Xie , Leibny Paola Garcia , Roberto Togneri

Monitoring the activity of the heart is important for diagnosing and preventing cardiovascular diseases. The electrocardiogram (ECG) is the gold standard for diagnosing such diseases. It monitors the heart's electrical activity, and while…

Signal Processing · Electrical Eng. & Systems 2023-09-19 Rémi Grisot , Pierre Laurent , Claire Migliaccio , Jean-Yves Dauvignac , Mélanie Brulc , Camille Chiquet , Jean-Paul Caruana

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…

Audio and Speech Processing · Electrical Eng. & Systems 2025-07-16 Kristóf Müller , Janka Hatvani , Márton Áron Goda , Miklós Koller

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.…

Machine Learning · Computer Science 2021-11-02 M. O'Sullivan , T. Gabruseva , G. Boylan , M. O'Riordan , G. Lightbody , W. Marnane

Electrocardiogram~(ECG), a key bioelectrical time-series signal, is crucial for assessing cardiac health and diagnosing various diseases. Given its time-series format, ECG data is often incorporated into pre-training datasets for…

Signal Processing · Electrical Eng. & Systems 2026-02-26 Zhijiang Tang , Jiaxin Qi , Yuhua Zheng , Jianqiang Huang

The electrocardiogram (ECG) signal is one of the most vital signals that can be used to investigate the performance of heart. Based on the ECG graph, we can identify different disorders and diseases. Therefore, monitoring this signal is of…

Signal Processing · Electrical Eng. & Systems 2023-02-22 Soheil Khooyooz , Mohammad Ali Ahmadi-Pajouh , Kamyab Azizi

Electrocardiogram is a useful diagnostic signal that can detect cardiac abnormalities by measuring the electrical activity generated by the heart. Due to its rapid, non-invasive, and richly informative characteristics, ECG has many emerging…

Machine Learning · Computer Science 2025-12-09 Hanhui Deng , Xinglin Li , Jie Luo , Di Wu

Atrial Fibrillation (AF) is a common cardiac arrhythmia affecting a large number of people around the world. If left undetected, it will develop into chronic disability or even early mortality. However, patients who have this problem can…

Signal Processing · Electrical Eng. & Systems 2021-01-20 Dacheng Chen , Dan Li , Xiuqin Xu , Ruizhi Yang , See-Kiong Ng

Electrocardiogram (ECG) is a valuable tool for medical diagnosis used worldwide. Its use has contributed significantly to the prevention of cardiovascular diseases including infarctions. Although physicians need to see the printed curves…

Image and Video Processing · Electrical Eng. & Systems 2024-08-22 Manuel Pazos-Santomé , Fernando Martín-Rodríguez , Mónica Fernández-Barciela

Significant research has been conducted in recent years to design low-cost alternatives to the current EEG monitoring systems used in healthcare facilities. Testing such systems on a vulnerable population such as newborns is complicated due…

Electroencephalogram (EEG) signals play a crucial role in understanding brain activity and diagnosing neurological diseases. Because supervised EEG encoders are unable to learn robust EEG patterns and rely too heavily on expensive signal…

Machine Learning · Computer Science 2025-09-23 Junhong Lai , Jiyu Wei , Lin Yao , Yueming Wang

Over the years researchers have studied the evolution of Electrocardiogram (ECG) and the complex classification of cardiovascular diseases. This review focuses on the evolution of the ECG, and covers the most recent signal processing…

Signal Processing · Electrical Eng. & Systems 2021-05-20 Neha Arora , Biswajit Mishra

The realisation of precision cardiology requires novel techniques for the non-invasive characterisation of individual patients' cardiac function to inform therapeutic and diagnostic decision-making. The electrocardiogram (ECG) is the most…

Tissues and Organs · Quantitative Biology 2021-12-09 Julia Camps , Brodie Lawson , Christopher Drovandi , Ana Minchole , Zhinuo Jenny Wang , Vicente Grau , Kevin Burrage , Blanca Rodriguez

An electrocardiogram (ECG) captures the heart's electrical signal to assess various heart conditions. In practice, ECG data is stored as either digitized signals or printed images. Despite the emergence of numerous deep learning models for…

Computer Vision and Pattern Recognition · Computer Science 2024-08-07 Ju-Hyeon Nam , Seo-Hyung Park , Su Jung Kim , Sang-Chul Lee