Imagined speech based brain-computer interface (BCI) is of great interest due to its efficiency and user-friendliness for patients with speech impairment. The aim of this work was to study whether different rhythms of imagined syllables could elicit corresponding frequency components on EEG amplitude spectra. Seventeen participants were recruited to take part in the experiments, and performed a control task and four imagery tasks with the presence of periodic pure tones while their EEG signals were recorded. The four imagery tasks included imagining the syllable' /a/' every time, every two times, and every three times the periodic pure tones occurred, and imagined twice every three times the periodic pure tones occurred. The experimental results analyzed by Fourier transform indicated that neural entrainment to rhythmic speech imagery can be notably reflected on the EEG amplitude spectra. Clinical Relevance- This work manifested that different rhythms of imagined syllables could be identified from EEG amplitude spectra, which may be beneficial to the development of imagined speech based BCIs.
|Title of host publication||2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society|
|Number of pages||4|
|Publication status||Published - 8 Sept 2022|
|Event||44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. - Glasgow, United Kingdom|
Duration: 11 Jul 2022 → 15 Jul 2022
|Name||Annual International Conference of the IEEE Engineering in Medicine and Biology Society.|
|Conference||44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.|
|Period||11/07/22 → 15/07/22|
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- Brain-Computer Interfaces