ERP signal estimation from single trial EEG

Hasan Mir; Indu Prasad; Ke Yu; Nitish Thakor; Hasan Al-Nashash

doi:10.1109/EMBC.2014.6944251

ERP signal estimation from single trial EEG

Hasan Mir, Indu Prasad, Ke Yu, Nitish Thakor, Hasan Al-Nashash

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Non-invasive EEG recordings are subject to effects such as surface conduction, resulting in very low signal to noise ratio (SNR). The conventional approach of using signal averaging to improve the SNR cannot be used for single trial EEG estimation. As such, this paper proposes a beamforming based technique that can be used to improve the signal quality from a signal trial EEG measurement. Results on experimental data show that the proposed technique can successfully isolate the signal of interest from background processes.

Original language	English (US)
Title of host publication	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2989-2992
Number of pages	4
ISBN (Electronic)	9781424479290
DOIs	https://doi.org/10.1109/EMBC.2014.6944251
State	Published - Nov 2 2014
Event	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States Duration: Aug 26 2014 → Aug 30 2014

Publication series

Name	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014

Other

Other	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Country	United States
City	Chicago
Period	8/26/14 → 8/30/14

Fingerprint

ASJC Scopus subject areas

Health Informatics
Computer Science Applications
Biomedical Engineering
Medicine(all)

Cite this

Mir, H., Prasad, I., Yu, K., Thakor, N., & Al-Nashash, H. (2014). ERP signal estimation from single trial EEG. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 (pp. 2989-2992). [6944251] (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2014.6944251

ERP signal estimation from single trial EEG. / Mir, Hasan; Prasad, Indu; Yu, Ke; Thakor, Nitish; Al-Nashash, Hasan.

2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 2989-2992 6944251 (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mir, H, Prasad, I, Yu, K, Thakor, N & Al-Nashash, H 2014, ERP signal estimation from single trial EEG. in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014., 6944251, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Institute of Electrical and Electronics Engineers Inc., pp. 2989-2992, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, Chicago, United States, 8/26/14. https://doi.org/10.1109/EMBC.2014.6944251

Mir H, Prasad I, Yu K, Thakor N, Al-Nashash H. ERP signal estimation from single trial EEG. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 2989-2992. 6944251. (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014). https://doi.org/10.1109/EMBC.2014.6944251

Mir, Hasan ; Prasad, Indu ; Yu, Ke ; Thakor, Nitish ; Al-Nashash, Hasan. / ERP signal estimation from single trial EEG. 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 2989-2992 (2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014).

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Access to Document

10.1109/EMBC.2014.6944251