Wearable Sensor Systems to Detect Biomarkers of Personality Traits for Healthy Aging: A Review

M Riaz, R Gravina - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Wearable sensor systems (WSS) have garnered substantial attention as they showcase their
versatility not only in the development of automated healthcare systems and shaping smart …

ECG modeling for simulation of arrhythmias in time-varying conditions

L Bachi, H Halvaei, C Pérez… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The present article proposes an ECG simulator that advances modeling of arrhythmias and
noise by introducing time-varying signal characteristics. The simulator is built around a …

[HTML][HTML] QT interval time lag in response to heart rate changes during stress test for coronary artery disease diagnosis

C Pérez, E Pueyo, JP Martínez, J Viik… - … Signal Processing and …, 2023 - Elsevier
Background: Slow adaptation of the QT interval to abrupt changes in heart rate (HR) can
enhance ventricular heterogeneity and has been suggested as a marker of arrhythmic risk …

AF identification from time frequency analysis of ECG signal using deep neural networks

T Anbalagan, MK Nath - IEEE Sensors Letters, 2024 - ieeexplore.ieee.org
Atrial fibrillation (AF) is a life threatening cardiac abnormality having high prevalence and
risk with increased rate of stroke and systemic embolism, if oral anticoagulation is not …

Performance Evaluation of QT-RR Adaptation Time Lag Estimation in Exercise Stress Testing

C Pérez, E Pueyo, JP Martínez, J Viik… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Background: Slower adaptation of the QT interval to sudden changes in heart rate has been
identified as a risk marker of ventricular arrhythmia. The gradual changes observed in …

Electromechanical Dynamics of the Heart: A Study of Cardiac Hysteresis During Physical Stress Test

S Karimi, S Karimi, AJ Shah, GD Clifford… - arXiv preprint arXiv …, 2024 - arxiv.org
Cardiovascular diseases are best diagnosed using multiple modalities that assess both the
heart's electrical and mechanical functions. While effective, imaging techniques like …

Computer-Aided Detection of Atrial Fibrillation Episodes from Electrocardiogram Signals Using Variational Mode Decomposition

D Parashar, K Sharma - 2023 6th International Conference on …, 2023 - ieeexplore.ieee.org
Atrial Fibrillation (AF) is defined as a heart beating irregularly. It may increase the risk of
stroke and sometimes results in heart failure. Lately, the number of patients with AF …

Fall Detection Based on Graph Neural Networks with Variable Time Windows

J Wei, J Li, Y Liu, H Ma - Journal of Advanced Computational …, 2024 - jstage.jst.go.jp
The precise detection of falls is essential for promptly providing first aid to individuals who
are at risk of accidental injury. Presently, the predominant approach for detecting falls is …

Evaluation of a QT Adaptation Time Estimator for ECG Exercise Stress Test in Controlled Simulation

C Pérez, E Pueyo, JP Martínez… - 2023 Computing in …, 2023 - ieeexplore.ieee.org
Slowed adaptation of the QT interval to sudden abrupt heart rate (HR) changes has been
identified as a marker of ventricular arrhythmic risk. However, abrupt HR changes are …

Assessment of QT Interval Dynamics Induced by Heart Rate Changes through Bivariate Phase-Rectified Signal Averaging

A Martín-Yebra, J Molinos… - 2023 Computing in …, 2023 - ieeexplore.ieee.org
The aim of this study is to investigate the relationship between the RR and QT series through
the bivariate phase-rectified signal averaging (BPRSA) computed during RR decelerations …