ECG signals-based automated diagnosis of congestive heart failure using Deep CNN and LSTM architecture

S Kusuma, KR Jothi - Biocybernetics and Biomedical Engineering, 2022 - Elsevier
Abstract In humans, Congestive Heart Failure (CHF) refers to the chronic progressive
condition that drastically influences the pumping potentiality of the heart muscle. This CHF …

Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals

UR Acharya, H Fujita, SL Oh, Y Hagiwara, JH Tan… - Applied …, 2019 - Springer
Congestive heart failure (CHF) is a chronic heart condition associated with debilitating
symptoms that result in increased mortality, morbidity, healthcare expenditure and …

Automatic detection of congestive heart failure based on a hybrid deep learning algorithm in the internet of medical things

W Ning, S Li, D Wei, LZ Guo… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Congestive heart failure (CHF) is a chronic heart condition with heart function decline
caused by various heart diseases that requires long-term treatment and affects personal life …

[Retracted] ECG Signal‐Enabled Automatic Diagnosis Technology of Heart Failure

L Chen, H Yu, Y Huang, H Jin - Journal of Healthcare …, 2021 - Wiley Online Library
Usually, heart failure occurs when heart‐related diseases are developed and continue to
deteriorate veins and arteries. Heart failure is the final stage of heart disease, and it has …

Application of deep neural network for congestive heart failure detection using ECG signals

Y Zhang, M Xia - Journal of Physics: Conference Series, 2020 - iopscience.iop.org
Congestive heart failure (CHF) is a common serious heart disease that requires a number of
clinical examinations to diagnose, which are costly and time-consuming. Electrocardiogram …

Congestive heart failure detection from ECG signals using deep residual neural network

E Prabhakararao, S Dandapat - IEEE Transactions on Systems …, 2022 - ieeexplore.ieee.org
The early and accurate detection of congestive heart failure (CHF) using an
electrocardiogram (ECG) is of great significance for improving the survival rate of patients …

Cnn and svm-based models for the detection of heart failure using electrocardiogram signals

J Botros, F Mourad-Chehade, D Laplanche - Sensors, 2022 - mdpi.com
Heart failure (HF) is a serious condition in which the heart fails to supply the body with
enough oxygen and nutrients to function normally. Early and accurate detection of heart …

Automatic staging model of heart failure based on deep learning

D Li, X Li, J Zhao, X Bai - Biomedical Signal Processing and Control, 2019 - Elsevier
Heart failure (HF) is a disease that is harmful to human health. Recent advances in machine
learning yielded new techniques to train deep neural networks, which resulted in highly …

Classification of normal sinus rhythm, abnormal arrhythmia and congestive heart failure ECG signals using LSTM and hybrid CNN-SVM deep neural networks

A Çınar, SA Tuncer - Computer methods in biomechanics and …, 2021 - Taylor & Francis
Effective monitoring of heart patients according to heart signals can save a huge amount of
life. In the last decade, the classification and prediction of heart diseases according to ECG …

Detection of congestive heart failure based on LSTM-based deep network via short-term RR intervals

L Wang, X Zhou - Sensors, 2019 - mdpi.com
Congestive heart failure (CHF) refers to the inadequate blood filling function of the
ventricular pump and it may cause an insufficient heart discharge volume that fails to meet …