Exploring Tensor-Based Optimization for Missing EEG Signal Recovery: A Comparative Study of Optimization Methods Across Different Tensor Decomposition Frameworks

Electroencephalography (EEG) signals are frequently compromised by missing data due to electrode contact issues or subject movement. Tensor decomposition has emerged as a powerful technique for analyzing multidimensional EEG data. This study evaluates various tensor-based methods for reconstructing...

書誌詳細
出版年:	IEEE Access
主要な著者:	Yue Zhang, Huanmin Ge, Chencheng Huang, Xinhua Su
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2025-01-01
主題:	Electroencephalogram missing data tensor recovery classification
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11087549/

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