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...

Full description

Main Authors: Javed, E., Faye, I., Malik, A.S.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.32934 /
Published: 2013
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893422449&doi=10.1007%2f978-3-642-42051-1_66&partnerID=40&md5=d619bfaee63c638bb098b6a2c74b0ebe
http://eprints.utp.edu.my/32934/
Tags: Add Tag
No Tags, Be the first to tag this record!
id utp-eprints.32934
recordtype eprints
spelling utp-eprints.329342022-03-30T01:11:10Z Reduction of Ballistocardiogram artifact using EMD-AF Javed, E. Faye, I. Malik, A.S. 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-Verlag 2013. 2013 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893422449&doi=10.1007%2f978-3-642-42051-1_66&partnerID=40&md5=d619bfaee63c638bb098b6a2c74b0ebe Javed, E. and Faye, I. and Malik, A.S. (2013) Reduction of Ballistocardiogram artifact using EMD-AF. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8228 L (PART 3). pp. 533-540. http://eprints.utp.edu.my/32934/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description 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-Verlag 2013.
format Article
author Javed, E.
Faye, I.
Malik, A.S.
spellingShingle Javed, E.
Faye, I.
Malik, A.S.
Reduction of Ballistocardiogram artifact using EMD-AF
author_sort Javed, E.
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
publishDate 2013
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893422449&doi=10.1007%2f978-3-642-42051-1_66&partnerID=40&md5=d619bfaee63c638bb098b6a2c74b0ebe
http://eprints.utp.edu.my/32934/
_version_ 1741197787381366784
score 11.62408