A One-Step Physiological Status Assessment Method Fusing Subject-Variant Information

• Published in: IEEE transactions on automation science and engineering Vol. 20; no. 3; pp. 1621 - 1632
• Main Authors: An, Yu, Chen, Shanen, Zhang, Xi
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.07.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Brain modeling; Channels; data fusion; Datasets; Decomposition; Electroencephalography; Feature extraction; Mathematical analysis; Matrix decomposition; Modelling; Optimization; Physiological status assessment; Physiology; subject-independence; subject-variant information; Tensors

The individual physiological difference has been recognized as one of the major problems while assessing subjects using multiple physiological data modeling and fusion techniques. To address this issue, we propose a one-step tensor-based modeling procedure to fuse the subject-variant information and...