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

Author:

Andersen Rasmus S.,Peimankar Abdolrahman,Puthusserypady SadasivanORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference49 articles.

1. A deep convolutional neural network model to classify heartbeats;Acharya;Computers in Biology and Medicine,2017

2. Deep learning approach for active classification of electrocardiogram signals;Al Rahhal;Information Sciences,2016

3. Feature selection using support vector machines and bootstrap methods for ventricular fibrillation detection;Alonso-Atienza;Expert Systems with Applications,2012

4. Automatic detection of atrial fibrillation using stationary wavelet transform and support vector machine;Asgari;Computers in Biology and Medicine,2015

5. Random search for hyper-parameter optimization;Bergstra;Journal of Machine Learning Research,2012

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