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Atrial Fibrillation Detection

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Atrial Fibrillation Detection Using Deep Features and Convolutional Networks

28 Mar 2019

The first approach used a pretrained DenseNet model to extract features that were then classified using Support Vector Machines, and the second approach used the spectrograms as direct input into a convolutional network.

ATRIAL FIBRILLATION DETECTION

Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection

12 Dec 2018

In this article, we propose a novel ECG classification framework for atrial fibrillation (AF) detection using spectro-temporal representation (i. e., time varying spectrum) and deep convolutional networks.

ATRIAL FIBRILLATION DETECTION

End-to-end Deep Learning from Raw Sensor Data: Atrial Fibrillation Detection using Wearables

27 Jul 2018

We present a convolutional-recurrent neural network architecture with long short-term memory for real-time processing and classification of digital sensor data.

ATRIAL FIBRILLATION DETECTION FEATURE ENGINEERING

A Simple Probabilistic Model for Uncertainty Estimation

24 Jul 2018

The article focuses on determining the predictive uncertainty of a model on the example of atrial fibrillation detection problem by a single-lead ECG signal.

ATRIAL FIBRILLATION DETECTION