Deep learning for ECG Arrhythmia detection and classification: an overview of progress for period 2017–2023

Fuzz-ClustNet: Coupled fuzzy clustering and deep neural networks for Arrhythmia detection from ECG signals

(2023) Sanjay Kumar et al.   COMPUTERS IN BIOLOGY AND MEDICINE

MEFood: A Large-Scale Representative Benchmark of Quotidian Foods for the Middle East

(2023) Mohammed Yusuf Ansari et al.   IEEE Access

Atrial fibrillation classification based on the 2D representation of minimal subset ECG and a non-deep neural network

(2023) Hua Zhang et al.   Frontiers in Physiology

Deep Learning-Based ECG Arrhythmia Classification: A Systematic Review

(2023) Qiao Xiao et al.   Applied Sciences-Basel

DeepArr: An investigative tool for arrhythmia detection using a contextual deep neural network from electrocardiograms (ECG) signals

(2023) Wissal Midani et al.   Biomedical Signal Processing and Control

A Survey on Vision Transformer

(2022) Kai Han et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Shallow Domain Knowledge Injection (SDK-Injection) Method for Improving CNN-Based ECG Pattern Classification

(2022) Soyeon Oh et al.   Applied Sciences-Basel

A transformer-based deep neural network for arrhythmia detection using continuous ECG signals

(2022) Rui Hu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

CNN-FWS: A Model for the Diagnosis of Normal and Abnormal ECG with Feature Adaptive

(2022) Junjiang Zhu et al.   Entropy

A novel method for reducing arrhythmia classification from 12-lead ECG signals to single-lead ECG with minimal loss of accuracy through teacher-student knowledge distillation

(2022) Majid Sepahvand et al.   INFORMATION SCIENCES

Analysis of an adaptive lead weighted ResNet for multiclass classification of 12-lead ECGs

(2022) Z Zhao et al.   PHYSIOLOGICAL MEASUREMENT

Practical utility of liver segmentation methods in clinical surgeries and interventions

(2022) Mohammed Yusuf Ansari et al.   BMC MEDICAL IMAGING

Automatic detection of arrhythmias from an ECG signal using an auto-encoder and SVM classifier

(2022) Manoj Kumar Ojha et al.   Physical and Engineering Sciences in Medicine

A novel myocardial infarction localization method using multi-branch DenseNet and spatial matching-based active semi-supervised learning

(2022) Ziyang He et al.   INFORMATION SCIENCES

Deep Learning-Based Data Augmentation and Model Fusion for Automatic Arrhythmia Identification and Classification Algorithms

(2022) Shuai Ma et al.   Computational Intelligence and Neuroscience

A clinical study on Atrial Fibrillation, Premature Ventricular Contraction, and Premature Atrial Contraction screening based on an ECG deep learning model

(2022) Jianyuan Hong et al.   APPLIED SOFT COMPUTING

Dense-PSP-UNet: A neural network for fast inference liver ultrasound segmentation

(2022) Mohammed Yusuf Ansari et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Global ECG Classification by Self-Operational Neural Networks With Feature Injection

(2022) Muhammad Uzair Zahid et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Re-Routing Drugs to Blood Brain Barrier: A Comprehensive Analysis of Machine Learning Approaches With Fingerprint Amalgamation and Data Balancing

(2022) Mohammed Yusuf Ansari et al.   IEEE Access

A review of deep learning applications for genomic selection

(2021) Osval Antonio Montesinos-López et al.   BMC GENOMICS

The application of deep learning in electrocardiogram: Where we came from and where we should go?

(2021) Jin-Yu Sun et al.   INTERNATIONAL JOURNAL OF CARDIOLOGY

A novel hybrid deep learning method with cuckoo search algorithm for classification of arrhythmia disease using ECG signals

(2021) Pooja Sharma et al.   NEURAL COMPUTING & APPLICATIONS

Automated arrhythmia classification using depthwise separable convolutional neural network with focal loss

(2021) Yi Lu et al.   Biomedical Signal Processing and Control

Time adaptive ECG driven cardiovascular disease detector

(2021) Muhammad Salman Haleem et al.   Biomedical Signal Processing and Control

Automated detection of shockable ECG signals: A review

(2021) Mohamed Hammad et al.   INFORMATION SCIENCES

HADLN: Hybrid Attention-Based Deep Learning Network for Automated Arrhythmia Classification

(2021) Mingfeng Jiang et al.   Frontiers in Physiology

Inter-patient arrhythmia classification with improved deep residual convolutional neural network

(2021) Yuanlu Li et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Risk Assessment of Computer-Aided Diagnostic Software for Hepatic Resection

(2021) Yusuf Akhtar et al.   IEEE Transactions on Radiation and Plasma Medical Sciences

Hybrid Network with Attention Mechanism for Detection and Location of Myocardial Infarction Based on 12-Lead Electrocardiogram Signals

(2020) Lidan Fu et al.   SENSORS

Deep Learning-Based Stacked Denoising and Autoencoder for ECG Heartbeat Classification

(2020) Siti Nurmaini et al.   Electronics

Application of deep learning techniques for heartbeats detection using ECG signals-analysis and review

(2020) Fatma Murat et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Deep learning for comprehensive ECG annotation

(2020) Benjamin A. Teplitzky et al.   HEART RHYTHM

Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation

(2020) Amin Ullah et al.   Remote Sensing

Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review

(2020) Shenda Hong et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Complex networks and deep learning for EEG signal analysis

(2020) Zhongke Gao et al.   Cognitive Neurodynamics

Robust detection of atrial fibrillation from short-term electrocardiogram using convolutional neural networks

(2020) Siti Nurmaini et al.   Future Generation Computer Systems-The International Journal of eScience

DENS-ECG: A deep learning approach for ECG signal delineation

(2020) Abdolrahman Peimankar et al.   EXPERT SYSTEMS WITH APPLICATIONS

Detection of Congestive Heart Failure Based on LSTM-Based Deep Network via Short-Term RR Intervals

(2019) Ludi Wang et al.   SENSORS

Computer-aided Arrhythmia Diagnosis with Bio-signal Processing

(2019) Sai Manoj Pudukotai Dinakarrao et al.   ACM COMPUTING SURVEYS

Cardiac arrhythmia detection using deep learning: A review

(2019) Saman Parvaneh et al.   JOURNAL OF ELECTROCARDIOLOGY

A Survey of Deep-Learning Applications in Ultrasound: Artificial Intelligence–Powered Ultrasound for Improving Clinical Workflow

(2019) Zeynettin Akkus et al.   Journal of the American College of Radiology

Automated arrhythmia classification based on a combination network of CNN and LSTM

(2019) Chen Chen et al.   Biomedical Signal Processing and Control

Automatic QRS complex detection using two-level convolutional neural network

(2018) Yande Xiang et al.   Biomedical Engineering Online

A novel wavelet sequence based on deep bidirectional LSTM network model for ECG signal classification

(2018) Özal Yildirim   COMPUTERS IN BIOLOGY AND MEDICINE

Application of stacked convolutional and long short-term memory network for accurate identification of CAD ECG signals

(2018) Jen Hong Tan et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Automated detection of atrial fibrillation using long short-term memory network with RR interval signals

(2018) Oliver Faust et al.   COMPUTERS IN BIOLOGY AND MEDICINE

A deep learning approach for ECG-based heartbeat classification for arrhythmia detection

(2018) G. Sannino et al.   Future Generation Computer Systems-The International Journal of eScience

False Alarm Reduction in Atrial Fibrillation Detection Using Deep Belief Networks

(2018) Bahareh Taji et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A Global and Updatable ECG Beat Classification System Based on Recurrent Neural Networks and Active Learning

(2018) Guijin Wang et al.   INFORMATION SCIENCES

An Automatic Cardiac Arrhythmia Classification System With Wearable Electrocardiogram

(2018) Yufa Xia et al.   IEEE Access

Deep Neural Network Based Approach for ECG Classification Using Hybrid Differential Features and Active Learning

(2018) Kazim Hanbay   IET Signal Processing

Readily available ECG databases

(2018) Nellyzeth Flores et al.   JOURNAL OF ELECTROCARDIOLOGY

An Open Access Database for Evaluating the Algorithms of Electrocardiogram Rhythm and Morphology Abnormality Detection

(2018) Feifei Liu et al.   Journal of Medical Imaging and Health Informatics

Screening for cardiac contractile dysfunction using an artificial intelligence–enabled electrocardiogram

(2018) Zachi I. Attia et al.   NATURE MEDICINE

Deep Feature Learning for Sudden Cardiac Arrest Detection in Automated External Defibrillators

(2018) Minh Tuan Nguyen et al.   Scientific Reports

Patient-Specific Deep Architectural Model for ECG Classification

(2017) Kan Luo et al.   Journal of Healthcare Engineering

ECG-based heartbeat classification for arrhythmia detection: A survey

(2016) Eduardo José da S. Luz et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Application of Deep Belief Networks for Natural Language Understanding

(2014) Ruhi Sarikaya et al.   IEEE-ACM Transactions on Audio Speech and Language Processing

Heartbeat classification using disease-specific feature selection

(2013) Zhancheng Zhang et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Ventricular Fibrillation and Tachycardia Classification Using a Machine Learning Approach

(2013) Qiao Li et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Multi-scale gray level co-occurrence matrices for texture description

(2013) Fernando Roberti de Siqueira et al.   NEUROCOMPUTING

Optimization of ECG Classification by Means of Feature Selection

(2011) T. Mar et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Heartbeat Classification Using Feature Selection Driven by Database Generalization Criteria

(2010) Mariano Llamedo et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Computerized epileptiform transient detection in the scalp electroencephalogram: Obstacles to progress and the example of computerized ECG interpretation

(2009) Jonathan J. Halford   CLINICAL NEUROPHYSIOLOGY