Automated detection of shockable ECG signals: A review
Sudden cardiac death from lethal arrhythmia is a preventable cause of death. Ventricular
fibrillation and tachycardia are shockable electrocardiographic (ECG) rhythms that can …
fibrillation and tachycardia are shockable electrocardiographic (ECG) rhythms that can …
[HTML][HTML] Prediction of survival and metastasis in breast cancer patients using machine learning classifiers
Background Breast cancer (BC) is one of the most common malignancies in women. Early
diagnosis of BC and metastasis among the patients based on an accurate system can …
diagnosis of BC and metastasis among the patients based on an accurate system can …
Detection of shockable ventricular cardiac arrhythmias from ECG signals using FFREWT filter-bank and deep convolutional neural network
Among various life-threatening cardiac disorders, ventricular tachycardia (VT) and
ventricular fibrillation (VF) are shockable ventricular cardiac arrhythmias (SVCA) which …
ventricular fibrillation (VF) are shockable ventricular cardiac arrhythmias (SVCA) which …
A novel approach for detection of myocardial infarction from ECG signals of multiple electrodes
Myocardial infarction (MI) is also called the heart attack, and it results in the death of heart
muscle cells due to the lacking in the supply of oxygen and other nutrients. The early and …
muscle cells due to the lacking in the supply of oxygen and other nutrients. The early and …
A review of progress and an advanced method for shock advice algorithms in automated external defibrillators
Shock advice algorithm plays a vital role in the detection of sudden cardiac arrests on
electrocardiogram signals and hence, brings about survival improvement by delivering …
electrocardiogram signals and hence, brings about survival improvement by delivering …
An improved cardiac arrhythmia classification using an RR interval-based approach
Accurate and early detection of cardiac arrhythmia present in an electrocardiogram (ECG)
can prevent many premature deaths. Cardiac arrhythmia arises due to the improper …
can prevent many premature deaths. Cardiac arrhythmia arises due to the improper …
EEG-rhythm specific Taylor–Fourier filter bank implemented with O-splines for the detection of epilepsy using EEG signals
The neurological disorder which is associated with the abnormal electrical activity generated
from the brain causing seizures is typically termed as epilepsy. The automated detection and …
from the brain causing seizures is typically termed as epilepsy. The automated detection and …
Multilevel classification and detection of cardiac arrhythmias with high-resolution superlet transform and deep convolution neural network
Atrial fibrillation and ventricular fibrillation are the two most common cardiac arrhythmia.
These cardiac arrhythmias cause heart strokes and other heart complications leading to an …
These cardiac arrhythmias cause heart strokes and other heart complications leading to an …
Detection of atrial fibrillation from single lead ECG signal using multirate cosine filter bank and deep neural network
Atrial fibrillation (AF) is a cardiac arrhythmia which is characterized based on the irregsular
beating of atria, resulting in, the abnormal atrial patterns that are observed in the …
beating of atria, resulting in, the abnormal atrial patterns that are observed in the …
Detection of ventricular fibrillation rhythm by using boosted support vector machine with an optimal variable combination
In this paper, the ventricular fibrillation (VF) rhythm is detected by using a new approach
involving the support vector machine (SVM), adaptive boosting (AdaBoost) and differential …
involving the support vector machine (SVM), adaptive boosting (AdaBoost) and differential …