Computer-aided arrhythmia diagnosis with bio-signal processing: A survey of trends and techniques

SMP Dinakarrao, A Jantsch, M Shafique - ACM Computing Surveys …, 2019‏ - dl.acm.org
Signals obtained from a patient, ie, bio-signals, are utilized to analyze the health of patient.
One such bio-signal of paramount importance is the electrocardiogram (ECG), which …

A deep learning approach for atrial fibrillation signals classification based on convolutional and modified Elman neural network

J Wang - Future Generation Computer Systems, 2020‏ - Elsevier
Atrial fibrillation (AF) is one of the main causes of life-threatening heart disease. Its detection
and diagnosis have been highly concerned by physicians in recent years. However, the …

Automated characterization of cardiovascular diseases using relative wavelet nonlinear features extracted from ECG signals

M Adam, SL Oh, VK Sudarshan, JEW Koh… - Computer methods and …, 2018‏ - Elsevier
Cardiovascular diseases (CVDs) are the leading cause of deaths worldwide. The rising
mortality rate can be reduced by early detection and treatment interventions. Clinically …

Automated detection of atrial fibrillation and atrial flutter in ECG signals based on convolutional and improved Elman neural network

J Wang - Knowledge-Based Systems, 2020‏ - Elsevier
Atrial fibrillation (AF) and atrial flutter (AFL) are two common life-threatening arrhythmias.
Both are not only easily transformed into each other, but also often cause misdiagnosis due …

An improved deep learning approach based on exponential moving average algorithm for atrial fibrillation signals identification

J Wang, S Zhang - Neurocomputing, 2022‏ - Elsevier
Atrial fibrillation (AF) is one of the leading causes of heart diseases worldwide. An accurate
AF detection method for timely treatment is attracting great attention by widespread scientific …

[PDF][PDF] Detection of cardiomyopathy using support vector machine and artificial neural network

R Begum, M Ramesh - International Journal of Computer Applications, 2016‏ - Citeseer
With the growing needs of Medical diagnosis, recently several software tools and various
algorithms have been proposed by the researchers for develo** effective medical Expert …

Principal component analysis and arrhythmia recognition using elman neural network

FN Mohamad, MSAM Ali, AH Jahidin… - 2013 IEEE 4th …, 2013‏ - ieeexplore.ieee.org
Cardiac arrhythmia refers to any abnormal electrical activity in the heart that causes irregular
heartbeat. Under clinical settings, the arrhythmias can be monitored non-invasively using …

Feature reduction and arrhythmia classification via hybrid multilayered perceptron network

AI Amiruddin, MSAM Ali, MF Saaid… - 2013 IEEE 3rd …, 2013‏ - ieeexplore.ieee.org
Cardiac arrhythmias refer to abnormal electrical activity of the heart which results in irregular
heartbeat. This paper proposes a computerized method in detecting cardiac arrhythmias …

A big-data classification tree for decision support system in the detection of dilated cardiomyopathy using heart rate variability

G Silveri, M Merlo, L Restivo, M Ajčević… - Procedia Computer …, 2020‏ - Elsevier
Dilated cardiomyopathy (DCM) is a heart muscle disease characterized by left ventricular
(LV) or biventricular dilatation and systolic dysfunction in the absence of either pressure or …

Arrhythmia modelling via ECG characteristic frequencies and artificial neural network

MHFM Jalil, MF Saaid, A Ahmad… - 2014 IEEE Conference …, 2014‏ - ieeexplore.ieee.org
ECG refers to non-invasive bioelectrical recording of the heart. Under the clinical settings,
the ECG is interpreted by cardiologists via conventional inspection techniques. The methods …