[Retracted] Machine Learning‐Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic …
A Javeed, SU Khan, L Ali, S Ali… - … Methods in Medicine, 2022 - Wiley Online Library
One of the leading causes of deaths around the globe is heart disease. Heart is an organ
that is responsible for the supply of blood to each part of the body. Coronary artery disease …
that is responsible for the supply of blood to each part of the body. Coronary artery disease …
Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review
Arrhythmia is a type of disorder that affects the pattern and rate of the heartbeat. Among the
various arrhythmia conditions, atrial fibrillation (AF) is the most prevalent. AF is associated …
various arrhythmia conditions, atrial fibrillation (AF) is the most prevalent. AF is associated …
Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network
Our cardiovascular system weakens and is more prone to arrhythmia as we age. An
arrhythmia is an abnormal heartbeat rhythm which can be life-threatening. Atrial fibrillation …
arrhythmia is an abnormal heartbeat rhythm which can be life-threatening. Atrial fibrillation …
Automated arrhythmia classification based on a combination network of CNN and LSTM
Arrhythmia is an abnormal heartbeat rhythm, and its prevalence increases with age. An
electrocardiogram (ECG) is a standard tool for detecting cardiac activity. However, because …
electrocardiogram (ECG) is a standard tool for detecting cardiac activity. However, because …
Classifying cardiac arrhythmia from ECG signal using 1D CNN deep learning model
Blood circulation depends critically on electrical activation, where any disturbance in the
orderly pattern of the heart's propagating wave of excitation can lead to arrhythmias …
orderly pattern of the heart's propagating wave of excitation can lead to arrhythmias …
ECG signal classification using deep learning techniques based on the PTB-XL dataset
The analysis and processing of ECG signals are a key approach in the diagnosis of
cardiovascular diseases. The main field of work in this area is classification, which is …
cardiovascular diseases. The main field of work in this area is classification, which is …
From ECG signals to images: a transformation based approach for deep learning
Provocative heart disease is related to ventricular arrhythmias (VA). Ventricular
tachyarrhythmia is an irregular and fast heart rhythm that emerges from inappropriate …
tachyarrhythmia is an irregular and fast heart rhythm that emerges from inappropriate …
Heart disease classification based on ECG using machine learning models
SM Malakouti - Biomedical Signal Processing and Control, 2023 - Elsevier
One of the most critical steps when diagnosing cardiovascular disorders is examining and
processing ECG data. Classification of health and ill persons is the primary focus of research …
processing ECG data. Classification of health and ill persons is the primary focus of research …
Cardiac arrhythmia classification by multi-layer perceptron and convolution neural networks
S Savalia, V Emamian - Bioengineering, 2018 - mdpi.com
The electrocardiogram (ECG) plays an imperative role in the medical field, as it records
heart signal over time and is used to discover numerous cardiovascular diseases. If a …
heart signal over time and is used to discover numerous cardiovascular diseases. If a …
[HTML][HTML] Application of Kronecker convolutions in deep learning technique for automated detection of kidney stones with coronal CT images
Kidney stone disease is a serious public health concern that is getting worse with changes
in diet, obesity, medical conditions, certain supplements etc. A kidney stone also called a …
in diet, obesity, medical conditions, certain supplements etc. A kidney stone also called a …