EEG brain symmetry index using hilbert huang transform

Fathrul Azarshah Abdul Aziz, Mohd Ibrahim Shapiai, Aznida Firzah Abdul Aziz, Mohd Fairuz Ali, Ayman Maliha, Zuwairie Ibrahim

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

Abstract

Electroencephalography (EEG) monitoring is known to be technically feasible and possibly clinically relevant to determine patients with acute ischemic hemispheric stroke. The EEG is very useful tool in understanding neurological dysfunction of stroke plausible improving the treatment and rehabilitation. Most of the existing techniques to diagnose stroke from the EEG signal is mainly based on Fourier Transform (FT). For instance, the Brain Symmetry Index (BSI) employed Fast Fourier Transform (FFT) as coefficients to measure symmetrical of blood flow between left and right brain hemisphere. The symmetrical index ranges between zero and one where one indicates the highest asymmetrical of blood flow. It is known that the conventional FFT has limitation in analyzing non-linear and non-stationary signal. Therefore, the existing BSI and its variations may also suffer from this transformation properties. In this study, we propose BSI based on Hilbert Huang Transform (HHT) which defined as BSI-HHT. HHT is a way to decompose a signal into so-called intrinsic mode functions (IMF) along with a trend, and obtain instantaneous frequency data. The HHT will be used as coefficients instead off FFT in calculating the BSI index. An experiment to validate the performance of BSI-HHT is conducted in this study as to compare with the existing BSI technique. The EEG signal of Middle Cerebral Artery (MCA) subjects and healthy subjects are used for this investigation. The proposed BSI-HHT has offered better interpretation as it correlates to the stimulation procedure on the gathered data especially at specific frequency band. Also, through the analysis, the HHT coefficient is able to capture the non-stationary and non-linear of the interest electrode.

Original languageEnglish
Title of host publicationModeling, Design and Simulation of Systems - 17th Asia Simulation Conference, AsiaSim 2017, Proceedings
PublisherSpringer Verlag
Pages548-560
Number of pages13
Volume751
ISBN (Print)9789811064623
DOIs
Publication statusPublished - 2017
Externally publishedYes
Event17th International Conference on Asia Simulation, AsiaSim 2017 - Melaka, Malaysia
Duration: 27 Aug 201729 Aug 2017

Publication series

NameCommunications in Computer and Information Science
Volume751
ISSN (Print)1865-0929

Other

Other17th International Conference on Asia Simulation, AsiaSim 2017
CountryMalaysia
CityMelaka
Period27/8/1729/8/17

Fingerprint

Electroencephalography
Brain
Mathematical transformations
Fast Fourier transforms
Blood
Patient rehabilitation
Frequency bands
Fourier transforms
Electrodes
Monitoring

Keywords

  • Electroencephalography
  • Hilbert huang transform
  • Ischemic stroke

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Aziz, F. A. A., Shapiai, M. I., Abdul Aziz, A. F., Ali, M. F., Maliha, A., & Ibrahim, Z. (2017). EEG brain symmetry index using hilbert huang transform. In Modeling, Design and Simulation of Systems - 17th Asia Simulation Conference, AsiaSim 2017, Proceedings (Vol. 751, pp. 548-560). (Communications in Computer and Information Science; Vol. 751). Springer Verlag. https://doi.org/10.1007/978-981-10-6463-0_47

EEG brain symmetry index using hilbert huang transform. / Aziz, Fathrul Azarshah Abdul; Shapiai, Mohd Ibrahim; Abdul Aziz, Aznida Firzah; Ali, Mohd Fairuz; Maliha, Ayman; Ibrahim, Zuwairie.

Modeling, Design and Simulation of Systems - 17th Asia Simulation Conference, AsiaSim 2017, Proceedings. Vol. 751 Springer Verlag, 2017. p. 548-560 (Communications in Computer and Information Science; Vol. 751).

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

Aziz, FAA, Shapiai, MI, Abdul Aziz, AF, Ali, MF, Maliha, A & Ibrahim, Z 2017, EEG brain symmetry index using hilbert huang transform. in Modeling, Design and Simulation of Systems - 17th Asia Simulation Conference, AsiaSim 2017, Proceedings. vol. 751, Communications in Computer and Information Science, vol. 751, Springer Verlag, pp. 548-560, 17th International Conference on Asia Simulation, AsiaSim 2017, Melaka, Malaysia, 27/8/17. https://doi.org/10.1007/978-981-10-6463-0_47
Aziz FAA, Shapiai MI, Abdul Aziz AF, Ali MF, Maliha A, Ibrahim Z. EEG brain symmetry index using hilbert huang transform. In Modeling, Design and Simulation of Systems - 17th Asia Simulation Conference, AsiaSim 2017, Proceedings. Vol. 751. Springer Verlag. 2017. p. 548-560. (Communications in Computer and Information Science). https://doi.org/10.1007/978-981-10-6463-0_47
Aziz, Fathrul Azarshah Abdul ; Shapiai, Mohd Ibrahim ; Abdul Aziz, Aznida Firzah ; Ali, Mohd Fairuz ; Maliha, Ayman ; Ibrahim, Zuwairie. / EEG brain symmetry index using hilbert huang transform. Modeling, Design and Simulation of Systems - 17th Asia Simulation Conference, AsiaSim 2017, Proceedings. Vol. 751 Springer Verlag, 2017. pp. 548-560 (Communications in Computer and Information Science).
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