Automated Classification of Atrial Fibrillation Using Artificial Neural Network for Wearable Devices

Automated detection of atrial fibrillation in ECG signals based on wavelet packet transform and correlation function of random process

(2019) Jibin Wang et al.   Biomedical Signal Processing and Control

Heart rate variability analysis using neural network models for automatic detection of lifestyle activities

(2018) Sarah Christina Matta et al.   Biomedical Signal Processing and Control

Automatic Detection of Atrial Fibrillation Based on Continuous Wavelet Transform and 2D Convolutional Neural Networks

(2018) Runnan He et al.   Frontiers in Physiology

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

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

ECG-Based Classification of Resuscitation Cardiac Rhythms for Retrospective Data Analysis

(2017) Ali Bahrami Rad et al.   IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING

Projective synchronization of a class of chaotic systems by dynamic feedback control method

(2017) Rongwei Guo   NONLINEAR DYNAMICS

Three‐dimensional Integrated Functional, Structural, and Computational Mapping to Define the Structural “Fingerprints” of Heart‐Specific Atrial Fibrillation Drivers in Human Heart Ex Vivo

(2017) Jichao Zhao et al.   Journal of the American Heart Association

Dynamic ECG features for atrial fibrillation recognition

(2016) Nurul Ashikin Abdul-Kadir et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

A new hierarchical method for inter-patient heartbeat classification using random projections and RR intervals

(2014) Huifang Huang et al.   Biomedical Engineering Online