Feature extraction for heartbeat classification using independent component analysis and matching pursuits

We present a method based on the matching pursuits algorithm for the 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 mult...

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Bibliographic Details
Main Authors: Herrero, G.G., Gotchev, A., Christov, I., Egiazarian, K.
Format: Conference Proceeding
Language:English
Subjects:
Algorithm design and analysis
Data mining
Electrocardiography
Feature extraction
Heart beat
Independent component analysis
Matching pursuit algorithms
Pursuit algorithms
Spatial databases
Time frequency analysis
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Description
Summary:We present a method based on the matching pursuits algorithm for the 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.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2005.1416111