What question did this study set out to answer?

This review examines the challenges and advancements in decoding imagined speech from EEG for communication.

EEG-Based Imagined-Speech Decoding: A Review

View Full Paper

Ask AI

Bookmark

Authors

This review synthesizes findings on EEG-based imagined speech decoding, suggesting improvements for clinical applications.

This review examines the challenges and advancements in decoding imagined speech from EEG for communication.
Adopted a narrative methodology to synthesize peer-reviewed studies
Identified relevant articles through keyword-based searches
Organized studies along the processing pipeline
Analyzed performance in binary and multi-class imagined speech tasks
Binary imagined-speech tasks often report accuracies above 80%
Multi-class word recognition shows wide variability in performance
Recent techniques like neural networks improve outcomes but don't solve key issues
Identified need for better dataset construction and model design for clinical relevance

Duhair et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark