Title
Feature Extraction For Heartbeat Classification Using Independent Component Analysis And Matching Pursuits
Abstract
In this paper, we present a method based on the Matching Pursuits algorithm for extraction of time-frequency features that can be used for classification of various abnormal heartbeats. Further, we investigate the usefulness of Independent Component Analysis for extracting additional spatial features from multichannel electrocardiographic recordings. The performance of these two different sets of features is assessed using the 48 recordings of the MIT-BIH arrhythmia database.
Year
DOI
Venue
2005
10.1109/ICASSP.2005.1416111
2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING
Keywords
Field
DocType
feature extraction,difference set,data mining,matching pursuit,time frequency analysis,independent component analysis,algorithm design and analysis,time frequency
Heartbeat,Pattern recognition,Computer science,Feature extraction,Speech recognition,Artificial intelligence,Time–frequency analysis,Signal classification,Independent component analysis
Conference
ISSN
Citations 
PageRank 
1520-6149
3
0.49
References 
Authors
3
4
Name
Order
Citations
PageRank
Germán Gómez-Herrero1355.94
Atanas P. Gotchev222338.55
Ivaylo Christov362.89
Karen Egiazarian43774207.72