Machine learning of electrophysiological signals for the prediction of ventricular arrhythmias: systematic review and examination of heterogeneity between studies
Background Ventricular arrhythmia (VA) precipitating sudden cardiac arrest (SCD) is among
the most frequent causes of death and pose a high burden on public health systems …
the most frequent causes of death and pose a high burden on public health systems …
An automated strategy for early risk identification of sudden cardiac death by using machine learning approach on measurable arrhythmic risk markers
D Lai, Y Zhang, X Zhang, Y Su, MBB Heyat - IEEE Access, 2019 - ieeexplore.ieee.org
Early risk identification of an unexpected sudden cardiac death (SCD) in a person who is
suffering malignant ventricular arrhythmias is highly significant for timely intervention and …
suffering malignant ventricular arrhythmias is highly significant for timely intervention and …
A novel approach for coronary artery disease diagnosis using hybrid particle swarm optimization based emotional neural network
Coronary artery disease (CAD) can cause serious conditions such as severe heart attack,
heart failure, and angina in patients with cardiovascular problems. These conditions may be …
heart failure, and angina in patients with cardiovascular problems. These conditions may be …
Textile-integrated polymer optical fibers for healthcare and medical applications
Y Yamada - Biomedical Physics & Engineering Express, 2020 - iopscience.iop.org
With ever growing interest in far-reaching solutions for pervasive healthcare and medicine,
polymer optical fibers have been rendered into textile forms. Having both fiber-optic …
polymer optical fibers have been rendered into textile forms. Having both fiber-optic …
Detection of ventricular arrhythmia using hybrid time–frequency-based features and deep neural network
Sudden cardiac death (SCD) is a major cause of death among patients with heart diseases.
It occurs mainly due to ventricular tachyarrhythmia (VTA) which includes ventricular …
It occurs mainly due to ventricular tachyarrhythmia (VTA) which includes ventricular …
Detection of sudden cardiac death by a comparative study of heart rate variability in normal and abnormal heart conditions
A Rohila, A Sharma - Biocybernetics and Biomedical Engineering, 2020 - Elsevier
Background and objective Sudden cardiac death (SCD) is an unexpected loss in functioning
of the heart. It generally occurs within 1 h of onset of symptoms. No reliable method for early …
of the heart. It generally occurs within 1 h of onset of symptoms. No reliable method for early …
A novel multi-class approach for early-stage prediction of sudden cardiac death
R Devi, HK Tyagi, D Kumar - Biocybernetics and Biomedical Engineering, 2019 - Elsevier
Sudden cardiac death (SCD) is a complex issue that may occur in population groups with
either known or unknown cardiovascular disease (CVD). Given the complex nature of SCD …
either known or unknown cardiovascular disease (CVD). Given the complex nature of SCD …
Electrocardiogram analysis by means of empirical mode decomposition-based methods and convolutional neural networks for sudden cardiac death detection
Sudden cardiac death (SCD) is a global health problem, which represents 15–20% of global
deaths. This type of death can be due to different heart conditions, where ventricular …
deaths. This type of death can be due to different heart conditions, where ventricular …
Design of hardware-efficient PVC recognition and classification system for early detection of sudden cardiac arrests
Sudden cardiac arrest (SCA) is a critical cardiovascular condition that needs greater
emphasis on its early detection because it occurs unexpectedly and is fatal within minutes …
emphasis on its early detection because it occurs unexpectedly and is fatal within minutes …
Human identification using a new matching pursuit-based feature set of ECG
Abstract Background and Objective In recent years, many attempts have been made to
design reliable systems for identifying individuals using biometrics. Electrocardiogram …
design reliable systems for identifying individuals using biometrics. Electrocardiogram …