Research › QEEG, Methods & Mechanisms
A parametric method of identification of single-trial event-related potentials in the brain
STS Instructor Authored by Giuseppe A. Chiarenza
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Study at a glance
- Area
- QEEG, Methods & Mechanisms
- Authors
- Cerutti S, Chiarenza G, Liberati D, Mascellani P, Pavesi G
- Journal
- IEEE Transactions on Biomedical Engineering
- Year
- 1988
- Protocol
- single-trial ERP signal processing
Key findings
- Proposes an ARX (autoregressive with exogenous input) model for single-trial ERP estimation
- Background EEG and EOG are modelled as separate inputs rather than simply averaged away
- Greatly improved signal-to-noise ratio on single trials in simulations and real data
- Particularly good at reducing eye-movement artifacts
A technical paper presenting a way to pull out an event-related potential from a single trial instead of averaging many trials. The method uses an autoregressive model with external inputs, taking the averaged response as a template and treating background EEG and eye-movement signals as noise sources to be modelled. Simulations and real recordings showed much better signal-to-noise in individual trials and effective removal of eye artifacts.