Review and classification of variability analysis techniques with clinical applications
Abstract Analysis of patterns of variation of time-series, termed variability analysis,
represents a rapidly evolving discipline with increasing applications in different fields of …
represents a rapidly evolving discipline with increasing applications in different fields of …
Efficient classification of ventricular arrhythmias using feature selection and C4. 5 classifier
The occurrence of sudden cardiac arrest (SCA) leads to a massive death across the world.
Hence the early prediction of ventricular tachycardia (VT) and ventricular fibrillation (VF) …
Hence the early prediction of ventricular tachycardia (VT) and ventricular fibrillation (VF) …
Prediction and classification of ventricular arrhythmia based on phase-space reconstruction and fuzzy c-means clustering
Background and objective Prediction and classification of Ventricular Arrhythmias (VA) may
allow clinicians sufficient time to intervene for stop** its escalation to Sudden Cardiac …
allow clinicians sufficient time to intervene for stop** its escalation to Sudden Cardiac …
A real-time QRS detection method based on phase portraits and box-scoring calculation
Z Hou, Y Dong, J **ang, X Li, B Yang - IEEE Sensors Journal, 2018 - ieeexplore.ieee.org
In order to detect the QRS complexes locally in the microcontroller-based embedded
system, a novel algorithm with lower computation burden is proposed by phase space …
system, a novel algorithm with lower computation burden is proposed by phase space …
Detection of ventricular tachycardia and fibrillation using adaptive variational mode decomposition and boosted-CART classifier
Rapid ventricular tachycardia (VT) and ventricular fibrillation (VF) are serious life-threatening
ventricular arrhythmias. Correct detection of VT/VF is crucial for the rescue of cardiac arrest …
ventricular arrhythmias. Correct detection of VT/VF is crucial for the rescue of cardiac arrest …
Network representations of attractors for change point detection
A common approach to monitoring the status of physical and biological systems is through
the regular measurement of various system parameters. Changes in a system's underlying …
the regular measurement of various system parameters. Changes in a system's underlying …
Ventricular fibrillation and tachycardia detection using features derived from topological data analysis
A Mjahad, JV Frances-Villora, M Bataller-Mompean… - Applied Sciences, 2022 - mdpi.com
Featured Application Automated External Defibrillation (AED) and Implantable Cardioverter
Defibrillators (ICD) require accurate algorithms to detect arrhythmias and discriminate …
Defibrillators (ICD) require accurate algorithms to detect arrhythmias and discriminate …
Automated classification of hypertension and coronary artery disease patients by PNN, KNN, and SVM classifiers using HRV analysis
MG Poddar, AC Birajdar, J Virmani - … learning in bio-signal analysis and …, 2019 - Elsevier
The hypertension (HTN) and coronary artery disease (CAD) are the major cardiovascular
diseases existing globally. In the present work, the heart rate variability (HRV) of normal …
diseases existing globally. In the present work, the heart rate variability (HRV) of normal …
Efficient extraction of deep image features using a convolutional neural network (CNN) for detecting ventricular fibrillation and tachycardia
To safely select the proper therapy for ventricular fibrillation (VF), it is essential to distinguish
it correctly from ventricular tachycardia (VT) and other rhythms. Provided that the required …
it correctly from ventricular tachycardia (VT) and other rhythms. Provided that the required …
Individual identification based on chaotic electrocardiogram signals during muscular exercise
SL Lin, CK Chen, CL Lin, WC Yang… - IET Biometrics, 2014 - Wiley Online Library
An electrocardiogram (ECG) records changes in the electric potential of cardiac cells using a
noninvasive method. Previous studies have shown that each person's cardiac signal …
noninvasive method. Previous studies have shown that each person's cardiac signal …