Reduction of Ballistocardiogram Artifact Using EMD-AF
Concurrent acquisition of functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) is widely used to monitor the neuronal activities of brain. However, this simultaneous recording suffers from complex artifacts. The Ballistocardiogram (BCG) artifact in specific, is as yet poorly...
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Springer Berlin Heidelberg
2013
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my.utp.eprints.108962013-12-16T23:47:57Z Reduction of Ballistocardiogram Artifact Using EMD-AF Javed, Ehtasham Faye, Ibrahima Malik, Aamir Saeed Q Science (General) R Medicine (General) T Technology (General) Concurrent acquisition of functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) is widely used to monitor the neuronal activities of brain. However, this simultaneous recording suffers from complex artifacts. The Ballistocardiogram (BCG) artifact in specific, is as yet poorly assumed, appears to be more challenging and hinders to exploit the full strength of both modalities. In this paper, a hybrid method is implemented which combines Empirical Mode Decomposition (EMD) with Adaptive Filtering (AF) using notch filter to reduce the BCG artifact. Results of this study demonstrate that the proposed algorithm is generally useful and effective for the reduction of the BCG artifact. Springer Berlin Heidelberg Lee, Minho Hirose, Akira Hou, Zeng-Guang Kil, Rhee Man 2013-11-03 Book Section PeerReviewed application/pdf http://eprints.utp.edu.my/10896/1/paper3.pdf http://dx.doi.org/10.1007/978-3-642-42051-1_66 Javed, Ehtasham and Faye, Ibrahima and Malik, Aamir Saeed (2013) Reduction of Ballistocardiogram Artifact Using EMD-AF. In: Neural Information Processing. Lecture Notes in Computer Science (LNCS), 8228 (8228). Springer Berlin Heidelberg, pp. 533-540. ISBN 978-3-642-42050-4 http://eprints.utp.edu.my/10896/ |
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Q Science (General) R Medicine (General) T Technology (General) Javed, Ehtasham Faye, Ibrahima Malik, Aamir Saeed Reduction of Ballistocardiogram Artifact Using EMD-AF |
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Concurrent acquisition of functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) is widely used to monitor the neuronal activities of brain. However, this simultaneous recording suffers from complex artifacts. The Ballistocardiogram (BCG) artifact in specific, is as yet poorly assumed, appears to be more challenging and hinders to exploit the full strength of both modalities. In this paper, a hybrid method is implemented which combines Empirical Mode Decomposition (EMD) with Adaptive Filtering (AF) using notch filter to reduce the BCG artifact. Results of this study demonstrate that the proposed algorithm is generally useful and effective for the reduction of the BCG artifact. |
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Lee, Minho |
author_facet |
Lee, Minho Javed, Ehtasham Faye, Ibrahima Malik, Aamir Saeed |
format |
Book Section |
author |
Javed, Ehtasham Faye, Ibrahima Malik, Aamir Saeed |
author_sort |
Javed, Ehtasham |
title |
Reduction of Ballistocardiogram Artifact Using EMD-AF |
title_short |
Reduction of Ballistocardiogram Artifact Using EMD-AF |
title_full |
Reduction of Ballistocardiogram Artifact Using EMD-AF |
title_fullStr |
Reduction of Ballistocardiogram Artifact Using EMD-AF |
title_full_unstemmed |
Reduction of Ballistocardiogram Artifact Using EMD-AF |
title_sort |
reduction of ballistocardiogram artifact using emd-af |
publisher |
Springer Berlin Heidelberg |
publishDate |
2013 |
url |
http://eprints.utp.edu.my/10896/1/paper3.pdf http://dx.doi.org/10.1007/978-3-642-42051-1_66 http://eprints.utp.edu.my/10896/ |
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13.211869 |