Logo

Reference-free Reduction of Ballistocardiogram Artifact from EEG Data Using EMD-PCA

Javed, Ehtasham and Faye, Ibrahima and Malik, Aamir Saeed and Abdullah, Jafri Malin (2014) Reference-free Reduction of Ballistocardiogram Artifact from EEG Data Using EMD-PCA. In: 5th International Conference on Intelligent and Advanced Systems, ICIAS 2014.

[img]
Preview
PDF
1481Kb

Abstract

Concurrent electroencephalograph (EEG) and functional magnetic resonance image (fMRI) led researchers to acquire neuronal activities in detail over the past few decades. Regardless of the advantages of combining these modalities, artifacts posed a greater challenge to attain good quality data. One such problematic artifact which contaminates EEG recordings is Ballistocardiogram (BCG) artifact. A reference-free composite algorithm which combines empirical mode decomposition (EMD) and principal component analysis (PCA) named as EMD-PCA has been introduced in this study. The results show that the algorithm can efficiently reduce the BCG artifact by preserving original neuronal signals. The proposed algorithm showed improvement in reducing the BCG artifact as well as in the preservation of brain activities, when compared with two renowned existing methods that are average artifact subtraction (AAS) and optimal basis set (OBS).

Item Type:Conference or Workshop Item (Paper)
Subjects:Q Science > Q Science (General)
T Technology > T Technology (General)
Academic Subject One:Biomedical Engineering
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Departments > Electrical & Electronic Engineering
Mission Oriented Research > Health
ID Code:11416
Deposited By: Dr Aamir Saeed Malik
Deposited On:28 Apr 2015 02:54
Last Modified:28 Apr 2015 02:54

Repository Staff Only: item control page

Document Downloads

More statistics for this item...