title: ERP signal estimation from single trial EEG.
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.
authors.forename: Hasan
authors.initials: H
authors.lastname: Mir
authors.forename: Indu
authors.initials: I
authors.lastname: Prasad
authors.forename: Ke
authors.initials: K
authors.lastname: Yu
authors.forename: Nitish
authors.initials: N
authors.lastname: Thakor
authors.forename: Hasan
authors.initials: H
authors.lastname: Al-Nashash
mesh_terms: D004569:Electroencephalography / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D012044:Regression Analysis; D012815:Signal Processing, Computer-Assisted; D059629:Signal-To-Noise Ratio