Investigation of Artifact Contamination Impact on EEG Oscillations Towards Enhanced Motor Function Characterization

Conference paper


Asogbon, M.G., Samuel, O., Meziane, F., Li, G. and Li, Y. 2024. Investigation of Artifact Contamination Impact on EEG Oscillations Towards Enhanced Motor Function Characterization. 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS. SCITEPRESS - Science and Technology Publications. https://doi.org/10.5220/0012373400003657
AuthorsAsogbon, M.G., Samuel, O., Meziane, F., Li, G. and Li, Y.
TypeConference paper
Abstract

The significant advancements in electroencephalography (EEG)-driven technology have led to its widespread use in assessing stroke-related conditions. Over the years, various studies have explored the potential of EEG oscillatory patterns in neurological research, with several of them giving limited attention to the signal processing techniques employed, precluding a proper understanding of EEG oscillatory patterns under various conditions. To resolve this issue, we systematically investigated how artifacts impact EEG oscillatory rhythms associated with upper limb movement-related tasks. Thus, the EEG signals of motor tasks were acquired non-invasively from healthy subjects and processed using automated artifact-attenuation methods. Subsequently, the Mu and Beta bands in the brain's motor cortex region were extracted through time-frequency analysis and analyzed using relevant metrics. Experimental results revealed that artifacts in EEG would substantially influence the brain activation strength and response during motor tasks. Notably, signals preprocessed with Reduction of Electroencephalographic Artifacts based on Multi Wiener Filter and Enhanced Wavelet Independent Component Analysis (RELAX_MWF_wICA) showed better brain responses and high task classification performance compared to other methods and the raw signal across motor tasks. This study's findings revealed that the choice of signal processing technique is crucial, as it would influence its analysis and interpretation, thus highlighting the need for careful consideration and usage.

KeywordsElectroencephalogram (EEG); Signal Processing; Artifact Removal Methods; Motor Recovery
Year2024
Conference17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS
PublisherSCITEPRESS - Science and Technology Publications
ISSN2184-4305
Digital Object Identifier (DOI)https://doi.org/10.5220/0012373400003657
Web address (URL)https://www.scitepress.org/PublicationsDetail.aspx?ID=Nf/sJUf4lRA=&t=1
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Journal citationpp. 755-762
ISBN978-989-758-688-0
Web address (URL) of conference proceedingshttps://www.scitepress.org/ProceedingsDetails.aspx?ID=1opd7WFZVzg=&t=1
Output statusPublished
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Online2024
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Deposited27 Mar 2024
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Boussouar, A, Meziane, F. and Gillian Crofts 2017. Plantar fascia segmentation and thickness estimation in ultrasound images. Computerized Medical Imaging and Graphics. Vol 56, pp. 60 - 73. https://doi.org/10.1016/j.compmedimag.2017.02.001
Digital watermarking: Applicability for developing trust in medical imaging workflows state of the art review
Asaad F. Qasim, Farid Meziane and Rob Aspin 2017. Digital watermarking: Applicability for developing trust in medical imaging workflows state of the art review. Computer Science Review. Vol 27 (Feb 2018), pp. 45-60. https://doi.org/10.1016/j.cosrev.2017.11.003
Consumers’ trust and popularity of negative posts in social media : a case study on the integration between B2C and C2C business models
AlSheikh, SS, Shaalan, S and Meziane, F. 2017. Consumers’ trust and popularity of negative posts in social media : a case study on the integration between B2C and C2C business models. 4th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2017. Krakow, Poland 16 - 18 Oct 2017 IEEE Xplore. https://doi.org/10.1109/besc.2017.8256364
MRI brain scan classification using novel 3-D statistical features
Hasan, A.M., Meziane, F., Aspin, R. and Jalab, H.A. 2017. MRI brain scan classification using novel 3-D statistical features. Second International Conference on Internet of Things, Data and Cloud Computing. Cambridge, UK 22 - 23 Mar 2017 Association for Computing Machinery. https://doi.org/10.1145/3018896.3036381
Performance of grey level statistic features versus Gabor wavelet for screening MRI brain tumors : a comparative study
Hasan, A, Meziane, F. and Jalab, HA 2016. Performance of grey level statistic features versus Gabor wavelet for screening MRI brain tumors : a comparative study. 2016 6th International Conference on Information Communication and Management (ICICM). Hatfield, UK 29 - 31 Oct 2016 IEEE Xplore. https://doi.org/10.1109/infocoman.2016.7784230
Mining the crime survey to support crime profiling
Wu, J, Meziane, F., Mohamad Saraee, Aspin, R and Hope, T 2016. Mining the crime survey to support crime profiling. 2016 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM). Reggio Calabria, Italy 27 - 28 Oct 2016 IEEE Xplore. https://doi.org/10.1109/iwcim.2016.7801189
Segmentation of brain tumors in MRI images using three-dimensional active contour without edge
Hasan, A, Meziane, F., Aspin, R and Jalab, HA 2016. Segmentation of brain tumors in MRI images using three-dimensional active contour without edge. Symmetry. Vol 8 (Issue 11, Article: 132). https://doi.org/10.3390/sym8110132
Validating the learning outcomes of an e-learning system using NLP
Aeiad, E and Meziane, F. 2016. Validating the learning outcomes of an e-learning system using NLP. Natural Language Processing and Information Systems. Vol 9612, pp. 292 - 300. https://doi.org/10.1007/978-3-319-41754-7_27
A methodology for biomedical ontology reuse
Zulkarnain, NZ and Meziane, F. 2016. A methodology for biomedical ontology reuse. 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016. Salford, UK 22 - 24 Jun 2016 Springer. https://doi.org/10.1007/978-3-319-41754-7_1
An item/user representation for recommender systems based on bloom filters
Pozo, M, Chiky, R, Meziane, F. and Metais, E 2016. An item/user representation for recommender systems based on bloom filters. 2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS). Grenoble, France 01 - 03 Jun 2016 IEEE Computer Society. https://doi.org/10.1109/rcis.2016.7549311
A new strategy for case-based reasoning retrieval using classification based on association
Aljuboori, AS, Meziane, F. and Parsons, DJ 2016. A new strategy for case-based reasoning retrieval using classification based on association. Perner, P (ed.) MLDM: International Conference on Machine Learning and Data Mining in Pattern Recognition. New York, USA 16 - 21 Jul 2016 Springer. https://doi.org/10.1007/978-3-319-41920-6_24
A discourse-based approach for Arabic question answering
Sadek, J and Meziane, F. 2016. A discourse-based approach for Arabic question answering. ACM Transactions on Asian and Low-Resource Language Information Processing. Vol 16 (Issue 2, Article: 11), pp. 1 - 18. https://doi.org/10.1145/2988238
Automated screening of MRI brain scanning using grey level statistics
Hasan, A and Meziane, F. 2016. Automated screening of MRI brain scanning using grey level statistics. Computers & Electrical Engineering. Vol 53 (Jul 2016), pp. 276-291. https://doi.org/10.1016/j.compeleceng.2016.03.008
Extracting Arabic causal relations using linguistic patterns
Sadek, J and Meziane, F. 2016. Extracting Arabic causal relations using linguistic patterns. ACM Transactions on Asian and Low-Resource Language Information Processing. Vol 15 (Issue 3, Article: 14), p. 1–20. https://doi.org/10.1145/2800786
Automated segmentation of tumours in MRI brain scans
Hasan, A, Meziane, F. and Khadim, M 2016. Automated segmentation of tumours in MRI brain scans. 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016). Rome, Italy 21 - 23 Feb 2016 SCITEPRESS - Science and Technology Publications.
An adaptable and personalised e-learning system based on free web resources
Aeiad, E and Meziane, F. 2015. An adaptable and personalised e-learning system based on free web resources. Biemann, C, Handschuh, S, Freitas, A, Meziane, F and Métais, E (ed.) 20th International Conference on Applications of Natural Language to Information Systems, NLDB 2015. Passau, Germany 17 - 19 Jun 2015 Springer. https://doi.org/10.1007/978-3-319-19581-0_26
The Impact of Social Influence and Third Party Endorsement on Online Shopping in Saudi Arabia
Haya Alshehri and Farid Meziane 2015. The Impact of Social Influence and Third Party Endorsement on Online Shopping in Saudi Arabia. Journal of Internet and e-Business Studies. Vol 2015 (2015, Article: 146746). https://doi.org/10.5171/2015.146746
Using local grammar for entity extraction from clinical reports
Ghoulam, A, Barigou, F, Belalem, G and Meziane, F. 2015. Using local grammar for entity extraction from clinical reports. International Journal of Artificial Intelligence and Interactive Multimedia. Vol 3 (Issue 3), pp. 16 - 24. https://doi.org/10.9781/ijimai.2015.332
An architecture to support ultrasound report generation and standardisation
Zulkarnain, NZ, Crofts, GS and Meziane, F. 2015. An architecture to support ultrasound report generation and standardisation. 8th International Conference on Health Informatics, HEALTHINF 2015. Lisbon, Portugal 12 - 15 Jan 2015 SCITEPRESS - Science and Technology Publications.
An exploratory study of ethical problems in digital service and engineering project management
More, S.K., Bass, J.M. and Meziane, F. 2015. An exploratory study of ethical problems in digital service and engineering project management. 3rd Joint International Workshop on Quantitative Approaches to Software Quality, QuASoQ 2015, the Workshop on Alternate Workforces for Software Engineering, WAWSE 2015 and the 1st International Workshop on Case Method for Computing Education, CMCE 201. New Delhi, India 01 Dec 2015 CEUR Workshops Proceedings.
Regression analysis for energy and lifetime prediction in large wireless sensor networks
Mir, F, Bounceur, A and Meziane, F. 2014. Regression analysis for energy and lifetime prediction in large wireless sensor networks. 2014 International Conference on Advanced Networking Distributed Systems and Applications. Bejaia, Algeria 17 - 19 Jun 2014 IEEE. https://doi.org/10.1109/inds.2014.8
The effect of a different environment on providing personal information when engaging in E-commerce : the case of Saudis in the UK
Alshehri, H and Meziane, F. 2014. The effect of a different environment on providing personal information when engaging in E-commerce : the case of Saudis in the UK. 22nd IBIMA Conference. Rome, Italy 13 - 14 Nov 2013 IBIMA.
The Effect of recommendations from family members and friends and third party endorsement in B2C E-Commerce: The case of Saudi Arabia
Alshehri, H. and Meziane, F. 2014. The Effect of recommendations from family members and friends and third party endorsement in B2C E-Commerce: The case of Saudi Arabia. 24th International Business Information Management Association Conference - Crafting Global Competitive Economies: 2020 Vision Strategic Planning and Smart Implementation. Milan, Italy 06 - 07 Nov 2014 IBIMA.