TY - GEN
T1 - ERP signal estimation from single trial EEG
AU - Mir, Hasan
AU - Prasad, Indu
AU - Yu, Ke
AU - Thakor, Nitish
AU - Al-Nashash, Hasan
PY - 2014/11/2
Y1 - 2014/11/2
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84929497596&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84929497596&partnerID=8YFLogxK
U2 - 10.1109/EMBC.2014.6944251
DO - 10.1109/EMBC.2014.6944251
M3 - Conference contribution
C2 - 25570619
AN - SCOPUS:84929497596
T3 - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
SP - 2989
EP - 2992
BT - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
Y2 - 26 August 2014 through 30 August 2014
ER -