Neural Entrainment to Rhythms of Imagined Syllables

Changjie Pan1; Haipeng Liu2; Dingchang Zheng2; Fei Chen1

10.1109/EMBC48229.2022.9871767

2022

2375-7477

978-1-7281-2783-5

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

4040-4043

11-15 July 2022

Glasgow, Scotland, United Kingdom

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.

Fourier transforms Electroencephalography Brain-computer interfaces Biology Task analysis

第一

IEEE

1.The Department of Electronic and Electrical Engineering, Shenzhen Key Laboratory of Robotics Perception and Intelligence, Southern University of Science and Technology, Shenzhen, China
2.Research Centre for Intelligent Healthcare, Coventry University, Coventry, United Kingdom

Changjie Pan,Haipeng Liu,Dingchang Zheng,et al. Neural Entrainment to Rhythms of Imagined Syllables[C],2022:4040-4043.