An Effective and Lightweight Deep Electrocardiography Arrhythmia Recognition Model Using Novel Special and Native Structural Regularization Techniques on Cardiac Signal

A Hybrid Deep CNN Model for Abnormal Arrhythmia Detection Based on Cardiac ECG Signal

(2021) Amin Ullah et al.   SENSORS

Deep learning in ECG diagnosis: A review

(2021) Xinwen Liu et al.   KNOWLEDGE-BASED SYSTEMS

Online Automatic Diagnosis System of Cardiac Arrhythmias Based on MIT-BIH ECG Database

(2021) Wei Yan et al.   Journal of Healthcare Engineering

MMDD-Ensemble: A Multimodal Data–Driven Ensemble Approach for Parkinson's Disease Detection

(2021) Liaqat Ali et al.   Frontiers in Neuroscience

Deep Learning in Physiological Signal Data: A Survey

(2020) Beanbonyka Rim et al.   SENSORS

Cardiac arrhythmia classification using tunable Q-wavelet transform based features and support vector machine classifier

(2020) Chandan Kumar Jha et al.   Biomedical Signal Processing and Control

An Approach Based on Mutually Informed Neural Networks to Optimize the Generalization Capabilities of Decision Support Systems Developed for Heart Failure Prediction

(2020) L. Ali et al.   IRBM

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

(2020) Amin Ullah et al.   Remote Sensing

A Statistically Rigorous Deep Neural Network (DNN) Approach to Predict Mortality in Trauma Patients admitted to the Intensive Care Unit

(2020) Fahad Shabbir Ahmed et al.   Journal of Trauma and Acute Care Surgery

LDA–GA–SVM: improved hepatocellular carcinoma prediction through dimensionality reduction and genetically optimized support vector machine

(2020) Liaqat Ali et al.   NEURAL COMPUTING & APPLICATIONS

A hybrid machine learning framework to predict mortality in paralytic ileus patients using electronic health records (EHRs)

(2020) Fahad Shabbir Ahmad et al.   Journal of Ambient Intelligence and Humanized Computing

A Novel Hybrid Machine Learning Classification for the Detection of Bruxism Patients Using Physiological Signals

(2020) Md Belal Bin Heyat et al.   Applied Sciences-Basel

Deep learning and the electrocardiogram: review of the current state-of-the-art

(2020) Sulaiman Somani et al.   EUROPACE

Progress in Detection of Insomnia Sleep Disorder: A Comprehensive Review

(2020) Md Belal Bin Heyat et al.   CURRENT DRUG TARGETS

Detection, Treatment Planning, and Genetic Predisposition of Bruxism: A Systematic Mapping Process and Network Visualization Technique

(2020) Md Belal Bin Heyat et al.   CNS & Neurological Disorders-Drug Targets

Deep learning approaches for automatic detection of sleep apnea events from an electrocardiogram

(2019) Urtnasan Erdenebayar et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Automated detection of diabetic subject using pre-trained 2D-CNN models with frequency spectrum images extracted from heart rate signals

(2019) Ozal Yildirim et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

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

Early diagnosis of Parkinson’s disease from multiple voice recordings by simultaneous sample and feature selection

(2019) Liaqat Ali et al.   EXPERT SYSTEMS WITH APPLICATIONS

Time-Frequency Domain Deep Convolutional Neural Network for the Classification of Focal and Non-Focal EEG Signals

(2019) Srirangan Madhavan et al.   IEEE SENSORS JOURNAL

LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices

(2019) Saeed Saadatnejad et al.   IEEE Journal of Biomedical and Health Informatics

Feature fusion for imbalanced ECG data analysis

(2018) Wei Lu et al.   Biomedical Signal Processing and Control

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

(2018) Özal Yildirim   COMPUTERS IN BIOLOGY AND MEDICINE

A survey on deep learning for big data

(2018) Qingchen Zhang et al.   Information Fusion

Heartbeat classification fusing temporal and morphological information of ECGs via ensemble of classifiers

(2018) V. Mondéjar-Guerra et al.   Biomedical Signal Processing and Control

A deep learning approach for real-time detection of atrial fibrillation

(2018) Rasmus S. Andersen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Cardiologist-level arrhythmia detection and classification in ambulatory electrocardiograms using a deep neural network

(2018) Awni Y. Hannun et al.   NATURE MEDICINE

Self-Recalibrating Surface EMG Pattern Recognition for Neuroprosthesis Control Based on Convolutional Neural Network

(2017) Xiaolong Zhai et al.   Frontiers in Neuroscience

Detecting faulty sensors in an array using symmetrical structure and cultural algorithm hybridized with differential evolution

(2017) Shafqat Ullah Khan et al.   Frontiers of Information Technology & Electronic Engineering

ECG Classification Using Wavelet Packet Entropy and Random Forests

(2016) Taiyong Li et al.   Entropy

Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks

(2016) Serkan Kiranyaz et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Deep learning

(2015) Yann LeCun et al.   NATURE

ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform

(2013) Roshan Joy Martis et al.   Biomedical Signal Processing and Control

Paced Left Ventricular QRS Width and ECG Parameters Predict Outcomes After Cardiac Resynchronization Therapy

(2011) Jeff M. Hsing et al.   Circulation-Arrhythmia and Electrophysiology

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal

(2008) Babak Mohammadzadeh Asl et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

ECG Denoising and Compression Using a Modified Extended Kalman Filter Structure

(2008) O. Sayadi et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Integration of independent component analysis and neural networks for ECG beat classification

(2007) S YU et al.   EXPERT SYSTEMS WITH APPLICATIONS