Using EEG artifacts for BCI applications

Wanli MA, Dat TRAN, Trung Le, Hong Lin, Shang-Ming Zhou

Research output: A Conference proceeding or a Chapter in BookConference contribution

3 Citations (Scopus)

Abstract

Brain computer interface (BCI) is about the communication channel between the brain of a human subject and a computerized device. Electroencephalography (EEG) signals are the primary choice as the sources of interpreting the intention of the human subject. EEG signals have a long history of being used in human health for the purposes of studying brain activities and medical diagnosis. EEG signals are very weak and are subject to the contamination from many artifact signals. For the applications in human health, true EEG signals, without the contamination, is highly desirable. However, for the purposes of BCI, where stable patterns from the source signals are critical, the origins of the signals are of less concern. In this paper, we propose a BCI, which is simple to implement and easy to use, by taking the advantage of EEG artifacts, generated by a number of purposely designed voluntary facial muscle movements.
Original languageEnglish
Title of host publication2014 International Joint Conference on Neural Networks (IJCNN)
EditorsDerong Liu, Jennie Si
Place of PublicationUSA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages3628-3635
Number of pages8
ISBN (Electronic)9781479914845
ISBN (Print)9781479914821
DOIs
Publication statusPublished - 6 Jul 2014
Event2014 International Joint Conference on Neural Networks, IJCNN 2014 - Beijing, Beijing, China
Duration: 6 Jul 201411 Jul 2014

Publication series

NameProceedings of the International Joint Conference on Neural Networks

Conference

Conference2014 International Joint Conference on Neural Networks, IJCNN 2014
CountryChina
CityBeijing
Period6/07/1411/07/14

Fingerprint

Brain computer interface
Electroencephalography
Brain
Contamination
Health
Muscle

Cite this

MA, W., TRAN, D., Le, T., Lin, H., & Zhou, S-M. (2014). Using EEG artifacts for BCI applications. In D. Liu, & J. Si (Eds.), 2014 International Joint Conference on Neural Networks (IJCNN) (pp. 3628-3635). [6889496] (Proceedings of the International Joint Conference on Neural Networks). USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IJCNN.2014.6889496
MA, Wanli ; TRAN, Dat ; Le, Trung ; Lin, Hong ; Zhou, Shang-Ming. / Using EEG artifacts for BCI applications. 2014 International Joint Conference on Neural Networks (IJCNN). editor / Derong Liu ; Jennie Si. USA : IEEE, Institute of Electrical and Electronics Engineers, 2014. pp. 3628-3635 (Proceedings of the International Joint Conference on Neural Networks).
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MA, W, TRAN, D, Le, T, Lin, H & Zhou, S-M 2014, Using EEG artifacts for BCI applications. in D Liu & J Si (eds), 2014 International Joint Conference on Neural Networks (IJCNN)., 6889496, Proceedings of the International Joint Conference on Neural Networks, IEEE, Institute of Electrical and Electronics Engineers, USA, pp. 3628-3635, 2014 International Joint Conference on Neural Networks, IJCNN 2014, Beijing, China, 6/07/14. https://doi.org/10.1109/IJCNN.2014.6889496

Using EEG artifacts for BCI applications. / MA, Wanli; TRAN, Dat; Le, Trung; Lin, Hong; Zhou, Shang-Ming.

2014 International Joint Conference on Neural Networks (IJCNN). ed. / Derong Liu; Jennie Si. USA : IEEE, Institute of Electrical and Electronics Engineers, 2014. p. 3628-3635 6889496 (Proceedings of the International Joint Conference on Neural Networks).

Research output: A Conference proceeding or a Chapter in BookConference contribution

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MA W, TRAN D, Le T, Lin H, Zhou S-M. Using EEG artifacts for BCI applications. In Liu D, Si J, editors, 2014 International Joint Conference on Neural Networks (IJCNN). USA: IEEE, Institute of Electrical and Electronics Engineers. 2014. p. 3628-3635. 6889496. (Proceedings of the International Joint Conference on Neural Networks). https://doi.org/10.1109/IJCNN.2014.6889496