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September 10, 2025ACM Computing Surveys

Use of BCI Systems in the Analysis of EEG Signals for Motor and Speech Imagery Task : A SLR

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Authors

AIArshi IqbalASAshok Kumar SuhagNKNeeraj Kumar

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Overview

Systematic literature review assesses accuracy of EEG signal classification in motor imagery and speech imagery tasks.

Key Points

  • The study reveals that BCI systems effectively analyze eeg signals for motor and speech imagery tasks, aiding rehabilitation.
  • Accuracy of classification models for eeg signals varied depending on the number of channels used in non-invasive devices.
  • This systematic literature review emphasizes the importance of machine learning models in the interpretation of eeg signals.
  • Findings support the use of non-invasive eeg devices for enhancing understanding of motor and speech imagery tasks.

Cite This Study

Iqbal et al. (2025) studied this question.

synapsesocial.com/papers/68c19f9154b1d3bfb60dafechttps://doi.org/10.1145/3757732
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