rREST

rREST provides a regularized estimator of potentials at infinity to standardize EEG and ERP references and improve cross-laboratory comparability.

Key Features:

• Unified estimator for potentials at infinity: Provides a unified estimator for potentials at infinity as a statistically principled alternative to average reference (AR).
• Statistical advantages: Offers superior statistical evidence compared to AR, enhancing the reliability of EEG and ERP data interpretation.
• No memory property: Incorporates the 'no memory' property characteristic of unipolar references so that past signal values do not influence current reference calculations.
• Regularized solution to the reference problem: Employs regularization to address the general form of the reference problem, yielding a more advantageous solution.

Scientific Applications:

• EEG and ERP referencing: Standardizes EEG and ERP references to improve reproducibility and comparability of results across laboratories.

Methodology:

Rigorous derivations classify references into unipolar (REST, AR/average reference, linked-mastoids/ears) and non-unipolar (bipolar, Laplacian) categories and apply a regularized estimation of potentials at infinity while incorporating the unipolar 'no memory' property.