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This paper proposes a novel framework for the segmentation of phonocardiogram (PCG) signals into heart states, exploiting the temporal evolution of the PCG as well as considering the salient information that it provides for the detection of…

Signal Processing · Electrical Eng. & Systems 2020-04-09 Tharindu Fernando , Houman Ghaemmaghami , Simon Denman , Sridha Sridharan , Nayyar Hussain , Clinton Fookes

Heart murmurs provide valuable information about mechanical activity of the heart, which aids in diagnosis of various heart valve diseases. This work does automatic and accurate heart murmur detection from phonocardiogram (PCG) recordings.…

Signal Processing · Electrical Eng. & Systems 2024-12-04 Ahmed Patwa , Muhammad Mahboob Ur Rahman , Tareq Y. Al-Naffouri

Recent developments in mmWave radar technologies have enabled the truly non-contact heart-rate (HR) and breath-rate (BR) measurement approaches, which provides a great ease in patient monitoring. Additionally, these technologies also…

Systems and Control · Electrical Eng. & Systems 2025-12-01 Jewel Benny , Pranjal Mahajan , Srayan Sankar Chatterjee , Mohd Wajid , Abhishek Srivastava

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

Cardiac time intervals (CTIs) are important parameters for assessing cardiac function and can be measured using non-invasive methods such as electrocardiography (ECG) and seismocardiography (SCG). It is widely accepted that SCG signals,…

Medical Physics · Physics 2024-02-13 Aysha Mann , Bahram Kakavand , Peshala Thibbotuwawa Gamage , Amirtahà Taebi

The human ear offers a unique opportunity for cardiac monitoring due to its physiological and practical advantages. However, existing earable solutions require additional hardware and complex processing, posing challenges for commercial…

Human-Computer Interaction · Computer Science 2025-01-14 Yongjian Fu , Ke Sun , Ruyao Wang , Xinyi Li , Ju Ren , Yaoxue Zhang , Xinyu Zhang

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

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

This study presents a nonlinear signal processing method for accurate radar-based heartbeat interval estimation by exploiting the periodicity of higher-order harmonics inherent in heartbeat signals. Unlike conventional approaches that…

Signal Processing · Electrical Eng. & Systems 2025-07-29 Kohei Shimomura , Chi-Hsuan Lee , Takuya Sakamoto

Heart rate is an important vital sign used in the diagnosis of many medical conditions. Conventionally, heart rate is measured using a medical device such as pulse oxymeter. Physiological parameters such as heart rate bear a correlation to…

Audio and Speech Processing · Electrical Eng. & Systems 2020-02-27 Mohammed Usman , Zeeshan Ahmad , Mohd Wajid

Heart rate (HR) monitoring is crucial for assessing physical fitness, cardiovascular health, and stress management. Millimeter-wave radar offers a promising noncontact solution for long-term monitoring. However, accurate HR estimation…

Signal Processing · Electrical Eng. & Systems 2025-03-11 Hui Tang , Zhan Yang , Yu Rong , Li Chai

Heart rate (HR) is an important physiological signal that reflects the physical and emotional activities of humans. Traditional HR measurements are mainly based on contact monitors, which are inconvenient and may cause discomfort for the…

Computer Vision and Pattern Recognition · Computer Science 2018-11-28 Xuesong Niu , Hu Han , Shiguang Shan , Xilin Chen

Electrocardiogram (ECG) is a simple non-invasive measure to identify heart-related issues such as irregular heartbeats known as arrhythmias. While artificial intelligence and machine learning is being utilized in a wide range of healthcare…

Machine Learning · Computer Science 2022-07-11 Minh Cao , Tianqi Zhao , Yanxun Li , Wenhao Zhang , Peyman Benharash , Ramin Ramezani

The traditional method of diagnosing heart disease on ECG signal is artificial observation. Some have tried to combine expertise and signal processing to classify ECG signal by heart disease type. However, the currency is not so sufficient…

Signal Processing · Electrical Eng. & Systems 2019-10-29 Jie Zhang , Bohao Li , Kexin Xiang , Xuegang Shi

Electrocardiogram (ECG) signal is the most commonly used non-invasive tool in the assessment of cardiovascular diseases. Segmentation of the ECG signal to locate its constitutive waves, in particular the R-peaks, is a key step in ECG…

Signal Processing · Electrical Eng. & Systems 2020-04-29 Atiyeh Fotoohinasab , Toby Hocking , Fatemeh Afghah

The paper proposes accurate Blood Pressure Monitoring (BPM) based on a single-site Photoplethysmographic (PPG) sensor and provides an energy-efficient solution on edge cuffless wearable devices. Continuous PPG signal preprocessed and used…

Signal Processing · Electrical Eng. & Systems 2021-08-03 Wenrui Lin , Berken Utku Demirel , Mohammad Abdullah Al Faruque , G. P. Li

Sleep disorders are very widespread in the world population and suffer from a generalized underdiagnosis, given the complexity of their diagnostic methods. Therefore, there is an increasing interest in developing simpler screening methods.…

Signal Processing · Electrical Eng. & Systems 2021-02-08 Ramiro Casal , Leandro E. Di Persia , Gastón Schlotthauer

Nowadays, hospitals are ubiquitous and integral to modern society. Patients flow in and out of a veritable whirlwind of paperwork, consultations, and potential inpatient admissions, through an abstracted system that is not without flaws.…

Artificial Intelligence · Computer Science 2016-09-21 Hugh Chen , Yusuf Erol , Eric Shen , Stuart Russell

In this paper, we propose a novel statistical index for the early diagnosis of ventricular arrhythmia (VA) using the time delay phase-space reconstruction (PSR) technique, from the electrocardiogram (ECG) signal. Patients with two classes…

This study proposes a non-contact method for identifying individuals through the use of heartbeat features measured with millimeter-wave radar. Although complex-valued radar signal spectrograms are commonly used for this task, little…

Signal Processing · Electrical Eng. & Systems 2026-01-13 Haruto Kobayashi , Takuya Sakamoto
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