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Phonocardiography has recently gained popularity in low-cost and remote monitoring, including passive fetal heart monitoring. Development for methods which analyse phonocardiographical data try to capitalize on this opportunity, and in…

Signal Processing · Electrical Eng. & Systems 2024-08-26 Kristóf Müller , Janka Hatvani , Miklós Koller , Márton Áron Goda

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 monitoring of fetal heart rate (FHR) and the assessment of its variability are crucial for preventing fetal compromise and adverse outcomes. However, traditional methods encounter limitations arising from equipment performance, data…

Machine Learning · Computer Science 2026-05-15 Xiaohua Wang , Kai Yu , XuXiao Liang , Liang Wang , Chao Han

Congenital heart disease (CHD) is the most common type of birth defect, impacting about 1% of live births worldwide. Echocardiography, the gold-standard diagnostic method, is costly and inaccessible in low-resource settings. Diagnosis is…

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…

Audio and Speech Processing · Electrical Eng. & Systems 2025-04-01 Abdul Jabbar , Ethan Grooby , Jack Crozier , Alexander Gallon , Vivian Pham , Khawza I Ahmad , Md Hassanuzzaman , Raqibul Mostafa , Ahsan H. Khandoker , Faezeh Marzbanrad

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…

Computer Vision and Pattern Recognition · Computer Science 2016-06-06 Joachim Behar

Acoustic signals are crucial for health monitoring, particularly heart sounds which provide essential data like heart rate and detect cardiac anomalies such as murmurs. This study utilizes a publicly available phonocardiogram (PCG) dataset…

Sound · Computer Science 2024-07-29 Jingping Nie , Ran Liu , Behrooz Mahasseni , Erdrin Azemi , Vikramjit Mitra

Continuous monitoring of fetal and maternal vital signs, particularly during labor, can be critical for the child and mother's health. We present a novel wearable electronic system that measures, in real-time, maternal heart rate using…

Medical Physics · Physics 2023-07-03 Anushka Tiwari

Cardiovascular diseases (CVDs) represent significant global health challenges today, necessitating regular and reliable monitoring to enable early intervention. Phonocardiogram (PCG) signals present a promising non-invasive method for…

Signal Processing · Electrical Eng. & Systems 2026-05-25 Abdul Ahad Mamun , Utsab Saha , Md Hasibul Hasan , Shahed Ahmed , MD Jahin Alam

Monitoring the electrical pulse of fetal heart through a non-invasive fetal electrocardiogram (fECG) can easily detect abnormalities in the developing heart to significantly reduce the infant mortality rate and post-natal complications. Due…

Objective: Murmurs are abnormal heart sounds, identified by experts through cardiac auscultation. The murmur grade, a quantitative measure of the murmur intensity, is strongly correlated with the patient's clinical condition. This work aims…

The purpose of this work is to demonstrate a robust and clinically validated method for correcting sound speed aberrations in medical ultrasound. We propose a correction method that calculates focusing delays directly from the observed…

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…

Machine Learning · Computer Science 2014-12-04 B. D. Fulcher , A. E. Georgieva , C. W. G. Redman , Nick S. Jones

Non-invasive fetal electrocardiogram (FECG) is used to monitor the electrical pulse of the fetal heart. Decomposing the FECG signal from maternal ECG (MECG) is a blind source separation problem, which is hard due to the low amplitude of…

Signal Processing · Electrical Eng. & Systems 2021-02-11 Mohammad Reza Mohebbian , Seyed Shahim Vedaei , Khan A. Wahid , Anh Dinh , Hamid Reza Marateb , Kouhyar Tavakolian

The electrocardiogram (ECG) is one of the most common primary tests to evaluate the health of the heart. Reliable automatic interpretation of ECG records is crucial to the goal of improving public health. It can enable a safe inexpensive…

Signal Processing · Electrical Eng. & Systems 2023-01-18 Laura Rebollo-Neira , Khalil Battikh , Amadou Sidi Watt

Method: In this study, a new method is introduced for distinguishing noise-free segments of ECG from noisy segments that use sample amplitude dispersion with an adoptive threshold for variance of samples amplitude and a method which uses…

Signal Processing · Electrical Eng. & Systems 2021-05-24 Zahra Rezaei Khavas , Babak Mohammadzadeh Asl

The fetal electrocardiogram (fECG) was first recorded from the maternal abdominal surface in the early 1900s. During the past fifty years, the most advanced electronics technologies and signal processing algorithms have been used to convert…

Quantitative Methods · Quantitative Biology 2021-12-28 Reza Sameni

Digital stethoscopes in combination with telehealth allow chest sounds to be easily collected and transmitted for remote monitoring and diagnosis. Chest sounds contain important information about a newborn's cardio-respiratory health.…

Stethoscope-recorded chest sounds provide the opportunity for remote cardio-respiratory health monitoring of neonates. However, reliable monitoring requires high-quality heart and lung sounds. This paper presents novel Non-negative Matrix…

A beat-to-beat Tele-fetal Monitoring and comparison with clinical data are studied with a wavelet transformation approach. Tele-fetal monitoring is a big progress toward a wearable medical device for a pregnant woman capable of obtaining…

Quantitative Methods · Quantitative Biology 2023-01-24 Maria Farahi , Alicia Casals , Omid Sarrafzadeh , Yasaman Zamani , Hooran Ahmadi , Naeimeh Behbood , Hessam Habibian
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