eprintid: 4822
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/48/22
datestamp: 2023-11-09 16:16:32
lastmod: 2023-11-09 16:16:32
status_changed: 2023-11-09 15:59:34
type: article
metadata_visibility: show
creators_name: Javed, E.
creators_name: Faye, I.
creators_name: Malik, A.S.
creators_name: Abdullah, J.M.
title: A hybrid method to improve the reduction of ballistocardiogram artifact from EEG data
ispublished: pub
keywords: Electroencephalography; Electrophysiology; Magnetic resonance imaging; Principal component analysis; Quality control, Ballistocardiogram artifact; Empirical Mode Decomposition; Functional magnetic resonance imaging; Neuronal activities; Qualitative analysis; Reference signals; Simultaneous recording; Spatial and temporal resolutions, Functional neuroimaging
note: cited By 4; Conference of 21st International Conference on Neural Information Processing, ICONIP 2014 ; Conference Date: 3 November 2014 Through 6 November 2014; Conference Code:109969
abstract: Simultaneous recordings of functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) allow acquisition of brain data with high spatial and temporal resolution. However, the EEG data get contaminated by additional artifacts such as Gradient artifact and Ballistocardiogram (BCG) artifact. The BCG artifact�s dynamics appear to be more challenging and it hinders in the assessment of the neuronal activities. In this paper, a referencefree method is implemented in which Empirical Mode Decomposition (EMD) and Principal Component Analysis (PCA) has been combined to reduce the BCG artifact while preserving the neuronal activities. The qualitative analysis of the proposed method along with three existing methods demonstrates that the proposed method has improved the quality of the reconstructed data. Moreover, it does not require any reference signal to extract BCG artifact. © Springer International Publishing Switzerland 2014.
date: 2014
publisher: Springer Verlag
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84910143358&doi=10.1007%2f978-3-319-12640-1_23&partnerID=40&md5=cc85a93fb4ac2ccfd0397860c97e71db
id_number: 10.1007/978-3-319-12640-1₂₃
full_text_status: none
publication: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
volume: 8835
pagerange: 186-193
refereed: TRUE
isbn: 9783319126395
issn: 03029743
citation:   Javed, E. and Faye, I. and Malik, A.S. and Abdullah, J.M.  (2014) A hybrid method to improve the reduction of ballistocardiogram artifact from EEG data.  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8835.  pp. 186-193.  ISSN 03029743