Parameterization and R-Peak Error Estimations of ECG Signals Using Independent Component Analysis
Principal component analysis (PCA) is used to reduce dimensionality of electrocardiogram (ECG) data prior to performing independent component analysis (ICA). A newly developed PCA variance estimator by the author has been applied for detecting true, actual and false peaks of ECG data files. In this...
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| Format: | Article |
| Language: | English |
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Hindawi Limited
2007-01-01
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| Series: | Computational and Mathematical Methods in Medicine |
| Online Access: | http://dx.doi.org/10.1080/17486700701776348 |