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Filtering the magnetohydrodynamic effect from 12-lead ECG signals using Independent Component Analysis

Abstract:

When recording an electrocardiogram (ECG) under the presence of the static magnetic feld of a magnetic resonance (MR) scanner, the ECG signal is disturbing by the magnetohydrodynamic (MHD) effect. Due to the MHD effect, the diagnostic information contained in the ECG signal is not accessible. This article copes with this problem by applying different Independent Component Analysis (ICA) algorithms to ECG signals corrupted by a simulated and real MHD effect. The applied ICA methods lead to sig...

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
Journal:
Computing in Cardiology More from this journal
Volume:
39
Pages:
589-592
Publication date:
2012-01-01
EISSN:
2325-887X
ISSN:
2325-8861
Language:
English
Pubs id:
pubs:396106
UUID:
uuid:fcac177a-8d1d-4f66-8833-89e7d736bd8a
Local pid:
pubs:396106
Source identifiers:
396106
Deposit date:
2013-11-17

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