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 …
Smart wearables for cardiac monitoring—real-world use beyond atrial fibrillation
The possibilities and implementation of wearable cardiac monitoring beyond atrial fibrillation
are increasing continuously. This review focuses on the real-world use and evolution of …
are increasing continuously. This review focuses on the real-world use and evolution of …
Passive detection of atrial fibrillation using a commercially available smartwatch
GH Tison, JM Sanchez, B Ballinger, A Singh… - JAMA …, 2018 - jamanetwork.com
Importance Atrial fibrillation (AF) affects 34 million people worldwide and is a leading cause
of stroke. A readily accessible means to continuously monitor for AF could prevent large …
of stroke. A readily accessible means to continuously monitor for AF could prevent large …
A deep learning approach for real-time detection of atrial fibrillation
RS Andersen, A Peimankar… - Expert Systems with …, 2019 - Elsevier
Goal: To develop a robust and real-time approach for automatic detection of atrial fibrillation
(AF) in long-term electrocardiogram (ECG) recordings using deep learning (DL). Method: An …
(AF) in long-term electrocardiogram (ECG) recordings using deep learning (DL). Method: An …
Detecting atrial fibrillation by deep convolutional neural networks
Background Atrial fibrillation (AF) is the most common cardiac arrhythmia. The incidence of
AF increases with age, causing high risks of stroke and increased morbidity and mortality …
AF increases with age, causing high risks of stroke and increased morbidity and mortality …
Multiscaled fusion of deep convolutional neural networks for screening atrial fibrillation from single lead short ECG recordings
Atrial fibrillation (AF) is one of the most common sustained chronic cardiac arrhythmia in
elderly population, associated with a high mortality and morbidity in stroke, heart failure …
elderly population, associated with a high mortality and morbidity in stroke, heart failure …
Physiological parameter monitoring from optical recordings with a mobile phone
We show that a mobile phone can serve as an accurate monitor for several physiological
variables, based on its ability to record and analyze the varying color signals of a fingertip …
variables, based on its ability to record and analyze the varying color signals of a fingertip …
Subject-aware contrastive learning for biosignals
Datasets for biosignals, such as electroencephalogram (EEG) and electrocardiogram (ECG),
often have noisy labels and have limited number of subjects (< 100). To handle these …
often have noisy labels and have limited number of subjects (< 100). To handle these …
Nonlinear methods most applied to heart-rate time series: a review
The heart-rate dynamics are one of the most analyzed physiological interactions. Many
mathematical methods were proposed to evaluate heart-rate variability. These methods …
mathematical methods were proposed to evaluate heart-rate variability. These methods …
Automatic detection of atrial fibrillation using stationary wavelet transform and support vector machine
S Asgari, A Mehrnia, M Moussavi - Computers in biology and medicine, 2015 - Elsevier
Background Atrial fibrillation (AF) is the most common cardiac arrhythmia, and a major
public health burden associated with significant morbidity and mortality. Automatic detection …
public health burden associated with significant morbidity and mortality. Automatic detection …