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A comparison of nonlinear noise reduction and independent component analysis using a realistic dynamical model of the electrocardiogram

Abstract:

Accurate performance metrics for removing noise from the electrocardiogram (ECG) are difficult to define due to the inherently complicated nature of the noise and the absence of knowledge about the underlying dynamical processes. By using a previously published model for generating realistic artificial ECG signals and adding both stochastic and deterministic noise, a method for assessing the performance of noise reduction techniques is presented. Independent component analysis (ICA) and nonli...

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Publication status:
Published

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Publisher copy:
10.1117/12.548726

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Volume:
5467
Pages:
78-88
Host title:
FLUCTUATIONS AND NOISE IN BIOLOGICAL, BIOPHYSICAL, AND BIOMEDICAL SYSTEMS II
Publication date:
2004-01-01
DOI:
ISSN:
0277-786X
Source identifiers:
64620
ISBN:
0819453900
Keywords:
Pubs id:
pubs:64620
UUID:
uuid:8c85fce3-dc0d-42a1-845f-2d793164a82c
Local pid:
pubs:64620
Deposit date:
2013-11-16

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