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May 2, 2017Frontiers in NeuroscienceOpen Access

A Generic Transferable EEG Decoder for Online Detection of Error Potential in Target Selection

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Population

26 participants from a P300-speller dataset, age 20-37 years, with no previous experience with P300-speller…

Design

Other

Authors

SBSaugat BhattacharyyaAKAmit KonarDTD. N. Tibarewala

Discussion

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Overview

Supports cross-subject ErrP detection for BCI; leaves open prospective validation before clinical use.

Structured PICO

P
Population
26 participants (16 for training, 10 for testing) from a P300-speller dataset (BCI Challenge @ NER 2015), age 20-37 years, with no previous experience with P300-speller paradigm or BCI applications.
I
Intervention
Ensemble online decoder (Linear Discriminant Analysis, Quadratic Discriminant Analysis, and Logistic Regression) for detecting Error Related Potentials (ErrP) from EEG signals.
O
Outcome
Decoder performance measured by accuracy, F1-score, and Area Under the Curve (AUC).

An ensemble EEG decoder can detect error-related potentials across different subjects with 73.97% accuracy, demonstrating potential for transferable real-time brain-computer interfaces.

Cite This Study

Bhattacharyya et al. (2017) studied this question.

synapsesocial.com/papers/6a1cca43f331f2fd9985bec4https://doi.org/10.3389/fnins.2017.00226
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