A Non-Linear Tensor Tracking Algorithm for Analysis of Incomplete Multi-Channel EEG Data

Nguyen, Linh Trung and Truong, Minh Chinh and Nguyen, Viet Dung and Abed-Meraim, Karim (2018) A Non-Linear Tensor Tracking Algorithm for Analysis of Incomplete Multi-Channel EEG Data. In: 12th International Symposium on Medical Information and Communication Technology (ISMICT), 26-28 March 2017, Sydney, Australia.

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Abstract

Tensor decomposition is a popular tool to analyse and process data which can be represented by a higher-order tensor structure. In this paper, we consider tensor tracking in challenging situations where the observed data are streaming and incomplete. Specifically, we proposed a non-linear formulation of the PETRELS cost function and based on which we proposed NL-PETRELS subspace and tensor tracking algorithms. The non-linear function allows us to improve the convergence rate. We also illustrated the use of our proposed tensor tracking for incomplete multi-channel electroencephalogram (EEG) data in a real-life experiment in which the data can be represented by a third-order tensor.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Electronics and Communications Information Technology (IT)
Divisions:	Advanced Insitute of Engineering and Technology (AVITECH) Faculty of Electronics and Telecommunications (FET)
Depositing User:	A/Prof. Linh Trung Nguyen
Date Deposited:	18 Apr 2018 08:44
Last Modified:	17 Dec 2018 19:29
URI:	http://eprints.uet.vnu.edu.vn/eprints/id/eprint/2947

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