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Selection Probe of EEG Using Dynamic Graph of Autocatalytic Set (ACS)

  • Azmirul Ashaari
  • Tahir AhmadEmail author
  • Suzelawati Zenian
  • Noorsufia Abdul Shukor
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 652)

Abstract

Electroencephalography (EEG) machine is a medical equipment which is used to diagnose seizure. EEG signal records data in the form of graph which consist of abnormal patterns such as spikes, sharp waves and also spikes and wave complexes. This pattern also come in multiple line series which then give some difficulties to analyze. This paper introduce the implementation of dynamic graph of Autocatalytic Set (ACS) for EEG signal during seizure. The result is then compared with other publish method namely Principal Component Analysis (PCA) of same EEG data.

Keywords

Dynamic graph Electroencephalography (EEG) Epilepsy Autocatalytic Set (ACS) 

Notes

Acknowledgment

This work has been supported by Ibnu Sina Institute, MyBrain15 from Ministry of High Education Malaysia and University Teknologi Malaysia.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2016

Authors and Affiliations

  • Azmirul Ashaari
    • 1
  • Tahir Ahmad
    • 2
    Email author
  • Suzelawati Zenian
    • 1
    • 3
  • Noorsufia Abdul Shukor
    • 4
  1. 1.Department of Mathematical Science, Faculty of ScienceUniversiti Teknologi MalaysiaSkudaiMalaysia
  2. 2.Centre for Sustainable Nanomaterials, Ibnu Sina Institute for Scientific and Industrial ResearchUniversiti Teknologi MalaysiaSkudaiMalaysia
  3. 3.Department of Mathematics with Computer Graphics, Faculty of Science and Natural ResourcesUniversiti Malaysia SabahKota KinabaluMalaysia
  4. 4.Fakulti Sains Komputer dan MatematikUniversiti Teknologi MaraSerembanMalaysia

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