Classification of bruxism based on time-frequency and nonlinear features of single channel EEG

Abstract Background In the classification of bruxism patients based on electroencephalogram (EEG), feature extraction is essential. The method of using multi-channel EEG fusing electrocardiogram (ECG) and Electromyography (EMG) signal features has been proved to have good performance in bruxism clas...

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Main Authors: Chunwu Wang (Author), Ajay K. Verma (Author), Bijay Guragain (Author), Xin Xiong (Author), Chunling Liu (Author)
Format: Book
Published: BMC, 2024-01-01T00:00:00Z.
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3rd Floor Main Library

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