NDLI: ERP signal estimation from single trial EEG

Content Provider	IEEE Xplore Digital Library
Author	Mir, H. Prasad, I. Ke Yu Thakor, N. Al-Nashash, H.
Copyright Year	2014
Description	Author affiliation: Singapore Inst. for Neurotechnology (SINAPSE), Nat. Univ. of Singapore, Singapore, Singapore (Prasad, I.; Ke Yu; Thakor, N.) \|\| Dept. of Electr. Eng., American Univ. of Sharjah, Sharjah, United Arab Emirates (Mir, H.; Al-Nashash, H.)
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.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	2989
Ending Page	2992
File Size	886350
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6944251
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Signal to noise ratio Arrays Array signal processing Estimation Educational institutions Face
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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