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ICA based flow artifact Removal from ECG during MRI
Bhargav Bhatt,
Published in
2009
Pages: 241 - 243
Abstract
In this paper, a method of Electrocardiographic (ECG) signal denoising during Magnetic Resonance Imaging (MRI) is proposed. In MR environment ECG signals will get corrupted by flow artifacts and hence reduces its diagnostic value. The proposed method focuses on removal of flow artifacts from multi-channel ECG signals, thereby improving its diagnostic quality. The standard or instantaneous independent component analysis (ICA) model is used with a reference signal to eliminate the flow artifacts. The performance of method is evaluated using MGH/MF multiparameter database with simulated flow artifacts. The diagnostic quality of filtered ECG is evaluated with different quality measures. In future, the performance of the method is to be studied on ECGs recorded during the MRI examination. © 2009 IEEE.
About the journal
JournalACT 2009 - International Conference on Advances in Computing, Control and Telecommunication Technologies
Open AccessNo
Concepts (20)
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    DIAGNOSTIC QUALITY
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    Diagnostic value
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    Ecg signals
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    ELECTRO-CARDIOGRAM (ECG)
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    FLOW ARTIFACT
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    FLOW ARTIFACTS
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    Multi-channel
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    Multiparameters
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    QUALITY MEASURES
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    Reference signals
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    Signal denoising
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    Electrocardiography
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    Electrochromic devices
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    Hemodynamics
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    Independent component analysis
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    MAGNETIC RESONANCE
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    Magnetic resonance imaging
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    MAGNETOHYDRODYNAMICS
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    Signal processing
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    Quality control