Anxiety recognition method based on PLI and TD-2DPCA

Zhonggao Li; Yanping Cai; Tao Wang; Wan Chen

doi:10.1117/12.3029422

22 May 2024 Anxiety recognition method based on PLI and TD-2DPCA

Zhonggao Li, Yanping Cai, Tao Wang, Wan Chen

Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 131761Z (2024) https://doi.org/10.1117/12.3029422
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China

Abstract

Considering that anxiety affects people's work and life, accurate detection of anxiety has important application value. Considering the interaction between different channels, a PLI and TD-2DPCA anxiety recognition method based on EEG signal is proposed. In this method, the collected original EEG signal is first preprocessed, the pre-processed signal is decomposed into five rhythmic waves by wavelet change, and the functional connection information of the brain is obtained by phase delay index coupling method for the five signals respectively, and then the anxiety features are extracted by bidirectional and two-dimensional principal component analysis method. Finally, the feature classification is implemented by support vector machine to realize the detection of anxiety. The results show that the proposed method has high recognition accuracy and can identify anxiety information well.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhonggao Li, Yanping Cai, Tao Wang, and Wan Chen "Anxiety recognition method based on PLI and TD-2DPCA", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 131761Z (22 May 2024); https://doi.org/10.1117/12.3029422

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