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Related papers: Noninvasive Fetal Electrocardiography: Models, Tec…

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Electrocardiogram (ECG), as a crucial find-grained cardiac feature, has been successfully recovered from radar signals in the literature, but the performance heavily relies on the high-quality radar signal and numerous radar-ECG pairs for…

Signal Processing · Electrical Eng. & Systems 2025-10-24 Yuanyuan Zhang , Haocheng Zhao , Sijie Xiong , Rui Yang , Eng Gee Lim , Yutao Yue

Gastric content's mass and pH commonly assessed invasively using endoscopic biopsy, or semi-invasively using swallowable transducer. EGG (electrogastrography) is a technique for observing gastric myoelectrical activity non-invasively, that…

Tissues and Organs · Quantitative Biology 2014-12-09 Tyas Pandu Fiantoro , Adhi Susanto , Bondhan Winduratna

The electrocardiogram (ECG) is a cost-effective, highly accessible and widely employed diagnostic tool. With the advent of Foundation Models (FMs), the field of AI-assisted ECG interpretation has begun to evolve, as they enable model reuse…

Artificial Intelligence · Computer Science 2026-01-30 Francesca Filice , Edoardo De Rose , Simone Bartucci , Francesco Calimeri , Simona Perri

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

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…

Signal Processing · Electrical Eng. & Systems 2022-10-03 Julien Bertieaux , Mohammadhadi Shateri , Fabrice Labeau , Thierry Dutoit

Electrocardiogram (ECG) is a widely used tool for assessing cardiac function due to its low cost and accessibility. Emergent research shows that ECGs can help make predictions on key outcomes traditionally derived from more complex…

Computer Vision and Pattern Recognition · Computer Science 2025-10-01 Yuan Gao , Sangwook Kim , Chris McIntosh

The human heart is a complex system exhibiting stochastic nature, as reflected in electrocardiogram (ECG) signals. ECG signal is a weak, non-stationary, and nonlinear signal, which indicates the health of a heart in terms of temporal…

Signal Processing · Electrical Eng. & Systems 2020-02-11 Chiranjit Maji , Pratyay Sengupta , Anandi Batabyal , Hirok Chaudhuri

We study properties of the human electrocardiogram under the working hypothesis that fluctuations beyond the regular structure of single cardiac cycles are unpredictable. On this background we discuss the possibility to use the phase space…

chao-dyn · Physics 2009-10-31 Marcus Richter , Thomas Schreiber

Background and objective: Brain activity in premature newborns has traditionally been studied using electroencephalography (EEG), leading to substantial advances in our understanding of early neural development. However, since brain…

Signal Processing · Electrical Eng. & Systems 2025-07-22 Benoît Brebion , Alban Gallard , Katrin Sippel , Amer Zaylaa , Hubert Preissl , Sahar Moghimi , Fabrice Wallois , Yaël Frégier

Electrocardiogram (ECG) monitoring is one of the most powerful technique of cardiovascular disease (CVD) early identification, and the introduction of intelligent wearable ECG devices has enabled daily monitoring. However, due to the need…

Signal Processing · Electrical Eng. & Systems 2024-03-08 Hongxiang Gao , Xingyao Wang , Zhenghua Chen , Min Wu , Jianqing Li , Chengyu Liu

Research on fetal phonocardiogram (fPCG) is challenged by the limited number of abdominal recordings, substantial maternal interference, and marked transmissioninduced signal attenuation that complicate reproducible benchmarking. We present…

Signal Processing · Electrical Eng. & Systems 2026-01-26 Yingtong Zhou , Yiang Zhou , Zhengxian Qu , Kang Liu , Ting Tan

Electrocardiogram (ECG) analysis plays a vital role in the early detection, monitoring, and management of various cardiovascular conditions. While existing models have achieved notable success in ECG interpretation, they fail to leverage…

Machine Learning · Computer Science 2026-03-05 Yuhao Xu , Xiaoda Wang , Jiaying Lu , Sirui Ding , Defu Cao , Huaxiu Yao , Yan Liu , Xiao Hu , Carl Yang

Modern wearable devices are embedded with a range of noninvasive biomarker sensors that hold promise for improving detection and treatment of disease. One such sensor is the single-lead electrocardiogram (ECG) which measures electrical…

Machine Learning · Statistics 2020-12-02 Jeffrey Chan , Andrew C. Miller , Emily B. Fox

Electrocardiogram (ECG) is an essential signal in monitoring human heart activities. Researchers have achieved promising results in leveraging ECGs in clinical applications with deep learning models. However, the mainstream deep learning…

Machine Learning · Computer Science 2023-10-06 Han Yu , Huiyuan Yang , Akane Sano

Cardiovascular disease remains a significant problem in modern society. Among non-invasive techniques, the electrocardiogram (ECG) is one of the most reliable methods for detecting abnormalities in cardiac activities. However, ECG…

Signal Processing · Electrical Eng. & Systems 2023-03-22 Huy Pham , Konstantin Egorov , Alexey Kazakov , Semen Budennyy

Since cadiovascular disease (CVD) posts a heavy threat to people's health, long-term electrocardiogram (ECG) monitoring is of great value for the improvement of treatment. To realize remote long-term ECG monitoring, a low-power wireless…

Signal Processing · Electrical Eng. & Systems 2020-12-07 Zhendong Ai , Zihan Wang , Wei Cui

Traditional authentication systems use alphanumeric or graphical passwords, or token-based techniques that require "something you know and something you have". The disadvantages of these systems include the risks of forgetfulness, loss, and…

Cryptography and Security · Computer Science 2019-09-25 Ebrahim Al Alkeem , Song-Kyoo Kim , Chan Yeob Yeun , M. Jamal Zemerly , Kin Poon , Paul D. Yoo

Virtual heart models have been proposed to enhance the safety of implantable cardiac devices through closed loop validation. To communicate with a virtual heart, devices have been driven by cardiac signals at specific sites. As a result,…

Systems and Control · Computer Science 2017-03-06 Weiwei Ai , Nitish Patel , Partha Roop , Avinash Malik , Nathan Allen , Mark L. Trew

Timely access to laboratory values is critical for clinical decision-making, yet current approaches rely on invasive venous sampling and are intrinsically delayed. Electrocardiography (ECG), as a non-invasive and widely available signal,…

Machine Learning · Computer Science 2025-10-28 Yujie Xiao , Gongzhen Tang , Wenhui Liu , Jun Li , Guangkun Nie , Zhuoran Kan , Deyun Zhang , Qinghao Zhao , Shenda Hong

Electrocardiogram (ECG) is one of the non-invasive and low-risk methods to monitor the condition of the human heart. Any abnormal pattern(s) in the ECG signal is an indicative measure of malfunctioning of the heart, termed as arrhythmia.…

Signal Processing · Electrical Eng. & Systems 2018-10-10 Sai Manoj Pudukotai Dinakarrao , Matthias Wess