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Related papers: Cardiac Aging Detection Using Complexity Measures

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Heart rate variability (HRV) is a vital measure of the autonomic nervous system functionality and a key indicator of cardiovascular condition. This paper proposes a novel method, called pattern tree which is an extension of Willem's context…

Machine Learning · Computer Science 2017-10-23 Elyas Sabeti , Anders Høst-Madsen

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

Lempel-Ziv complexity (LZC) is a key measure for detecting the irregularity and complexity of nonlinear time series and has seen various improvements in recent decades. However, existing LZC-based metrics, such as Permutation Lempel-Ziv…

Data Analysis, Statistics and Probability · Physics 2024-12-17 Runze Jiang , Pengjian Shang

Human life expectancy has dramatically improved over the course of the last century. Although this reflects a global improvement in sanitation and medical care, this also implies that more people suffer from diseases that typically manifest…

Other Quantitative Biology · Quantitative Biology 2022-07-11 Alexis Rapin , Maroun Bou Sleiman , Johan Auwerx

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

Cardiovascular diseases are best diagnosed using multiple modalities that assess both the heart's electrical and mechanical functions. While effective, imaging techniques like echocardiography and nuclear imaging are costly and not widely…

Medical Physics · Physics 2024-10-28 Sajjad Karimi , Shirin Karimi , Amit J. Shah , Gari D. Clifford , Reza Sameni

Coronary artery disease(CAD) is the most common type of heart disease and the leading cause of death worldwide[1]. A progressive state of this disease marked by plaque rupture and clot formation in the coronary arteries, also known as an…

Machine Learning · Computer Science 2020-09-29 Atandra Burman , Jitto Titus , David Gbadebo , Melissa Burman

Longitudinal monitoring of heart rate (HR) and heart rate variability (HRV) can aid in tracking cardiovascular diseases (CVDs), sleep quality, sleep disorders, and reflect autonomic nervous system activity, stress levels, and overall…

Signal Processing · Electrical Eng. & Systems 2024-12-20 Ruhan Yi , Mihail Popescu , James M. Keller , Grant Scott , Laurel Despins , David Heise , Marjorie Skubic

The Electrocardiogram (ECG) is a sensitive diagnostic tool that is used to detect various cardiovascular diseases by measuring and recording the electrical activity of the heart in exquisite detail. A wide range of heart condition is…

Computer Vision and Pattern Recognition · Computer Science 2012-09-10 Sayantan Mukhopadhyay , Shouvik Biswas , Anamitra Bardhan Roy , Nilanjan Dey

Early and optimal identification of cardiac anomalies, especially Myocardial infarction (MCI) can aid the individual in obtaining prompt medical attention to mitigate the severity. Electrocardiogram (ECG) is a simple non-invasive…

Signal Processing · Electrical Eng. & Systems 2025-07-08 Srikireddy Dhanunjay Reddy , Pujayita Deb , Tharun Kumar Reddy Bollu

Coronary artery disease, heart failure, angina pectoris and diabetes are among the leading causes of morbidity and mortality over the globe. Susceptibility to such disorders is compounded by changing lifestyles, poor dietary routines, aging…

Signal Processing · Electrical Eng. & Systems 2017-12-22 Umair Ahmed , Muhammad Faizyab Ali , Kashif Javed , Haroon Atique Babri

With tens of thousands of electrocardiogram (ECG) records processed by mobile cardiac event recorders every day, heart rhythm classification algorithms are an important tool for the continuous monitoring of patients at risk. We utilise an…

Machine Learning · Computer Science 2020-12-14 Patrick Schwab , Gaetano Scebba , Jia Zhang , Marco Delai , Walter Karlen

Coronary Artery Disease (CAD) diagnostic to be a major global cause of death, necessitating innovative solutions. Addressing the critical importance of early CAD detection and its impact on the mortality rate, we propose the potential of…

Signal Processing · Electrical Eng. & Systems 2024-06-26 Atitaya Phoemsuk , Vahid Abolghasemi

Posturography is routinely used to qualitatively assess one of the cardinal symptoms of Parkinson's disease -- postural instability. While most measures of balance control are derived from displacement of the center of pressure there is…

Neurons and Cognition · Quantitative Biology 2017-10-24 Miroslaw Latka , Slawomir Budrewicz , Klaudia Kozlowska , Magdalena Koszewicz , Bruce J. West

Aggregated health data such as claims data from health insurances become more and more available for research purposes. Estimates of excess mortality from prevalence and incidence of a chronic condition have only been possible for ages 50…

Populations and Evolution · Quantitative Biology 2019-08-13 Ralph Brinks

Background: The relative contribution of different aging-associated processes to the age phenotype may differ among individuals, creating variability in aging manifestations among age-peers. Capturing this variability can significantly…

Populations and Evolution · Quantitative Biology 2007-05-23 A. Kulminski , A. Yashin , S. Ukraintseva , I. Akushevich , K. Arbeev , K. Land , K. Manton

Human heartbeat can be measured using several different ways appropriately based on the patient condition which includes contact base such as measured by using instruments and non-contact base such as computer vision assisted techniques.…

Computer Vision and Pattern Recognition · Computer Science 2020-10-12 Vladislav Ostankovich , Geesara Prathap , Ilya Afanasyev

Continuous cardiovascular monitoring can play a key role in precision health. However, some fundamental cardiac biomarkers of interest, including stroke volume and cardiac output, require invasive measurements, e.g., arterial pressure…

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

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