DocumentCode
1404526
Title
Recurrent neural network based adaptive filtering technique for the extraction of foetal electrocardiogram
Author
Selvan, S. ; Srinivasan, R.
Author_Institution
Dept. of Comput. Sci. & Eng., PSG Coll. of Technol., Coimbatore, India
Volume
36
Issue
20
fYear
2000
fDate
9/28/2000 12:00:00 AM
Firstpage
1744
Lastpage
1745
Abstract
The authors propose a novel adaptive filtering technique, combining adaptive noise cancellation and adaptive signal enhancement in a single recurrent neural network employing a real time recurrent learning algorithm, which is suitable for the real-time processing of an abdominal foetal electrocardiogram and converges faster to a lower mean squared error
Keywords
adaptive filters; adaptive signal processing; convergence; electrocardiography; interference suppression; learning (artificial intelligence); medical signal processing; obstetrics; real-time systems; recurrent neural nets; abdominal foetal electrocardiogram; adaptive filtering technique; adaptive noise cancellation; adaptive signal enhancement; foetal electrocardiogram extraction; mean squared error; real time recurrent learning algorithm; real-time processing; recurrent neural network;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20001210
Filename
882040
Link To Document