Expert system for characterization of electroencephalography (EEG) signals to detect sleep onset

F. A. Hamid, Aini Hussain, Azah Mohamed, M. A. Mohd Ali, Burhanuddin Yeop Majlis, Raymond Azman Ali, A. S. Mohamed

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

1 Citation (Scopus)

Abstract

This paper describes the development of an approach that uses expert system to differentiate various stages of sleep: i.e. from awake state to stage II sleep. An expert system that performs sleep staging using the characteristics analysis of the human sleeps electroencephalography (EEG) signals is presented. The Kappa PC expert system shell, the frequencies and waveforms characteristics of the EEG signals were used in the implementation of the sleep on set detection.

Original languageEnglish
Title of host publicationStudent Conference on Research and Development: Networking the Future Mind in Convergence Technology, SCOReD 2003 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5-8
Number of pages4
ISBN (Print)0780381734, 9780780381735
DOIs
Publication statusPublished - 2003
EventStudent Conference on Research and Development, SCOReD 2003 - Putrajaya, Malaysia
Duration: 25 Aug 200326 Aug 2003

Other

OtherStudent Conference on Research and Development, SCOReD 2003
CountryMalaysia
CityPutrajaya
Period25/8/0326/8/03

Fingerprint

Electroencephalography
Expert systems
Sleep

Keywords

  • Driver drowsiness
  • Electroencephalography
  • Expert system
  • Sleep onset

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Media Technology
  • Signal Processing

Cite this

Hamid, F. A., Hussain, A., Mohamed, A., Mohd Ali, M. A., Yeop Majlis, B., Ali, R. A., & Mohamed, A. S. (2003). Expert system for characterization of electroencephalography (EEG) signals to detect sleep onset. In Student Conference on Research and Development: Networking the Future Mind in Convergence Technology, SCOReD 2003 - Proceedings (pp. 5-8). [1459653] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SCORED.2003.1459653

Expert system for characterization of electroencephalography (EEG) signals to detect sleep onset. / Hamid, F. A.; Hussain, Aini; Mohamed, Azah; Mohd Ali, M. A.; Yeop Majlis, Burhanuddin; Ali, Raymond Azman; Mohamed, A. S.

Student Conference on Research and Development: Networking the Future Mind in Convergence Technology, SCOReD 2003 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2003. p. 5-8 1459653.

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

Hamid, FA, Hussain, A, Mohamed, A, Mohd Ali, MA, Yeop Majlis, B, Ali, RA & Mohamed, AS 2003, Expert system for characterization of electroencephalography (EEG) signals to detect sleep onset. in Student Conference on Research and Development: Networking the Future Mind in Convergence Technology, SCOReD 2003 - Proceedings., 1459653, Institute of Electrical and Electronics Engineers Inc., pp. 5-8, Student Conference on Research and Development, SCOReD 2003, Putrajaya, Malaysia, 25/8/03. https://doi.org/10.1109/SCORED.2003.1459653
Hamid FA, Hussain A, Mohamed A, Mohd Ali MA, Yeop Majlis B, Ali RA et al. Expert system for characterization of electroencephalography (EEG) signals to detect sleep onset. In Student Conference on Research and Development: Networking the Future Mind in Convergence Technology, SCOReD 2003 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2003. p. 5-8. 1459653 https://doi.org/10.1109/SCORED.2003.1459653
Hamid, F. A. ; Hussain, Aini ; Mohamed, Azah ; Mohd Ali, M. A. ; Yeop Majlis, Burhanuddin ; Ali, Raymond Azman ; Mohamed, A. S. / Expert system for characterization of electroencephalography (EEG) signals to detect sleep onset. Student Conference on Research and Development: Networking the Future Mind in Convergence Technology, SCOReD 2003 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2003. pp. 5-8
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