Automated detection of atrial fibrillation using long short-term memory network with RR interval signals

Author:

Faust Oliver,Shenfield Alex,Kareem Murtadha,San Tan Ru,Fujita Hamido,Acharya U. Rajendra

Funder

NVIDIA Corporation

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference68 articles.

1. Atrial fibrillation: mechanistic insights and treatment options;Mathew;Eur. J. Intern. Med.,2009

2. Atrial fibrillation and waveform characterization;Petrutiu;IEEE Engineering in Medicine and Biology Magazine,2006

3. Impact of atrial fibrillation on the risk of death: the framingham heart study;Benjamin;Circulation,1998

4. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation;Lip;Chest,2010

5. Robust genetic programming-based detection of atrial fibrillation using rr intervals;Yaghouby;Expet Syst.,2012

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