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...

Full description

Bibliographic Details
Published in:IEEE Access
Main Authors: Yue Zhang, Huanmin Ge, Chencheng Huang, Xinhua Su
Format: Article
Language:English
Published: IEEE 2025-01-01
Subjects:
Electroencephalogram
missing data
tensor recovery
classification
Online Access:https://ieeexplore.ieee.org/document/11087549/

Internet

https://ieeexplore.ieee.org/document/11087549/

Similar Items