A Removal of Eye Movement and Blink Artifacts from EEG Data Using Morphological Component Analysis

Joint Authors

Singh, Balbir
Wagatsuma, Hiroaki

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-17, 17 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-01-17

Country of Publication

Egypt

No. of Pages

17

Main Subjects

Medicine

Abstract EN

EEG signals contain a large amount of ocular artifacts with different time-frequency properties mixing together in EEGs of interest.

The artifact removal has been substantially dealt with by existing decomposition methods known as PCA and ICA based on the orthogonality of signal vectors or statistical independence of signal components.

We focused on the signal morphology and proposed a systematic decomposition method to identify the type of signal components on the basis of sparsity in the time-frequency domain based on Morphological Component Analysis (MCA), which provides a way of reconstruction that guarantees accuracy in reconstruction by using multiple bases in accordance with the concept of “dictionary.” MCA was applied to decompose the real EEG signal and clarified the best combination of dictionaries for this purpose.

In our proposed semirealistic biological signal analysis with iEEGs recorded from the brain intracranially, those signals were successfully decomposed into original types by a linear expansion of waveforms, such as redundant transforms: UDWT, DCT, LDCT, DST, and DIRAC.

Our result demonstrated that the most suitable combination for EEG data analysis was UDWT, DST, and DIRAC to represent the baseline envelope, multifrequency wave-forms, and spiking activities individually as representative types of EEG morphologies.

American Psychological Association (APA)

Singh, Balbir& Wagatsuma, Hiroaki. 2017. A Removal of Eye Movement and Blink Artifacts from EEG Data Using Morphological Component Analysis. Computational and Mathematical Methods in Medicine،Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1141968

Modern Language Association (MLA)

Singh, Balbir& Wagatsuma, Hiroaki. A Removal of Eye Movement and Blink Artifacts from EEG Data Using Morphological Component Analysis. Computational and Mathematical Methods in Medicine No. 2017 (2017), pp.1-17.
https://search.emarefa.net/detail/BIM-1141968

American Medical Association (AMA)

Singh, Balbir& Wagatsuma, Hiroaki. A Removal of Eye Movement and Blink Artifacts from EEG Data Using Morphological Component Analysis. Computational and Mathematical Methods in Medicine. 2017. Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1141968

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1141968