The design of spatial selection using CUR decomposition to improve common spatial pattern for multi-trial EEG classification

Hilman Fauzi, Mohd Ibrahim Shapiai, Rubiyah Yusof, Gerard B. Remijn, Noor Akhmad Setiawan, Zuwairie Ibrahim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


The most important factor in EEG signal processing is the determination of relevant features in encoding the meaning of the signal. Obtaining relevant features for EEG can be done using a spatial filter. The Common Spatial Pattern (CSP) is known to produce discriminative features when processing EEG signals. Yet, CSP is also sensitive to noise and is channel-dependent, as it is considered to be a spatial filter. However, the disadvantage of CSP is that channels containing only noise are also considered as active channels. In this paper, the design of a filter for spatial selection is proposed using CUR decomposition to select important channels or the time segment of EEG trials in order to improve CSP performance. CUR decomposition can also be used as a noise rejection technique because CUR can be used in factorizing the given EEG signals. In other words, CUR decomposition rejects the non-active channels, which typically contain noise, before spatially filtering the EEG signals. Once the EEG signal is decomposed based on the importance of the channels, time segmentation, and EEG factorization, the decomposed signal can be used as input to the CSP. In general, three approaches were proposed in this framework: (1) channel selection, i.e., C selection; (2) time segment selection, R; and (3) signal factorization, U. Furthermore, the performance accuracy between the original CSP and CSP in which the input was spatially filtered by the proposed framework was validated using datasets IVa of BCI competition III. The test results show that the CSP with spatial selection using C selection and U factorization offers 12% and 9% improvement compared to the original CSP, respectively. Hence, the proposed method in this study can be used as a spatial filter to improve the CSP performance.

Original languageEnglish
Title of host publicationModeling, Design and Simulation of Systems - 17th Asia Simulation Conference, AsiaSim 2017, Proceedings
EditorsMohamed Sultan Mohamed Ali, Herman Wahid, Nurul Adilla Mohd Subha, Shafishuhaza Sahlan, Mohd Amri Md. Yunus, Ahmad Ridhwan Wahap
PublisherSpringer Verlag
Number of pages15
ISBN (Print)9789811064623
Publication statusPublished - 2017
Event17th International Conference on Asia Simulation, AsiaSim 2017 - Melaka, Malaysia
Duration: Aug 27 2017Aug 29 2017

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)1865-0929


Other17th International Conference on Asia Simulation, AsiaSim 2017

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)


Dive into the research topics of 'The design of spatial selection using CUR decomposition to improve common spatial pattern for multi-trial EEG classification'. Together they form a unique fingerprint.

Cite this