Noninvasive fetal QRS detection using Echo State Network

Computing in Cardiology

Volumn 40, Issue , 2013, Pages 205-208

  Lukosevicius, Mantas ^a   Marozas, Vaidotas ^a  

^a KAUNAS UNIVERSITY OF TECHNOLOGY   (Lithuania)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84894171147     PISSN: 23258861     EISSN: 2325887X     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Sameni R, Clifford GD. A Review of Fetal ECG Signal Processing; Issues and Promising Directions. The Open Pacing Electrophysiology Therapy Journal TOPETJ November 2010;3:4-20.
2. Noninvasive Fetal ECG: the PhysioNet/Computing in Cardiology Challenge 2013. URL http://www.physionet.org/challenge/2013/.
3. Martens SMM, Rabotti C, Mischi M, Sluijter RJ. A robust fetal ECG detection method for abdominal recordings. Physiological Measurement 2007;28(4):373.
4. Jaeger H. The "echo state" approach to analysing and training recurrent neural networks. Technical Report GMD Report 148, German National Research Center for Information Technology, 2001.
5. Jaeger H. Echo state network. Scholarpedia 2007;2(9):2330.
6. Lukoševičius M, Jaeger H. Reservoir computing approaches to recurrent neural network training. Computer Science Review August 2009;3(3):127-149. ISSN 1574-0137.
7. Lukoševičius M. A practical guide to applying echo state networks. In Montavon G, Orr GB, Müller KR (eds.), Neural Networks: Tricks of the Trade, 2nd Edition, volume 7700 of LNCS. Springer. ISBN 978-3-642-35288-1, 2012;659-686.