EEG analysis of wake-sleep data using UMACE filter

Rosniwati Ghafar, Nooritawati Md Tahir, Aini Hussain, Salina Abdul Samad

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

3 Citations (Scopus)

Abstract

Electroencephalogram (EEG) signal has been found to be the most predictive and reliable indicator in wake-sleep research. It is a real time signal that reflects the brain states of a subject including the alertness. However the study of wake-sleep condition using EEG signal is difficult due to the complexity of the EEG signal itself. The exact underlying dynamics of the EEG data is still questionable. EEG signal varies from one individual to another and has an inter variability in the same physiological state. It is hard to compare the EEG to the specific pattern of individual or situation. This paper tries to investigate the use of UMACE in distinguish between awake and sleep state of a subject. Normal EEG data from individual is used as an input in building UMACE filter. From the result, we find UMACE has the capability to distinguish awake and sleep state of a subject.

Original languageEnglish
Title of host publication2007 5th Student Conference on Research and Development, SCORED
DOIs
Publication statusPublished - 2007
Event2007 5th Student Conference on Research and Development, SCORED - Selangor
Duration: 11 Dec 200712 Dec 2007

Other

Other2007 5th Student Conference on Research and Development, SCORED
CitySelangor
Period11/12/0712/12/07

Fingerprint

sleep
brain
Electroencephalogram
Sleep
Filter

Keywords

  • Electroencephalogram
  • Uncostrained moving average correlation energy (UMACE)
  • Wake-sleep

ASJC Scopus subject areas

  • Education
  • Management Science and Operations Research

Cite this

Ghafar, R., Tahir, N. M., Hussain, A., & Abdul Samad, S. (2007). EEG analysis of wake-sleep data using UMACE filter. In 2007 5th Student Conference on Research and Development, SCORED [4451421] https://doi.org/10.1109/SCORED.2007.4451421

EEG analysis of wake-sleep data using UMACE filter. / Ghafar, Rosniwati; Tahir, Nooritawati Md; Hussain, Aini; Abdul Samad, Salina.

2007 5th Student Conference on Research and Development, SCORED. 2007. 4451421.

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

Ghafar, R, Tahir, NM, Hussain, A & Abdul Samad, S 2007, EEG analysis of wake-sleep data using UMACE filter. in 2007 5th Student Conference on Research and Development, SCORED., 4451421, 2007 5th Student Conference on Research and Development, SCORED, Selangor, 11/12/07. https://doi.org/10.1109/SCORED.2007.4451421
Ghafar R, Tahir NM, Hussain A, Abdul Samad S. EEG analysis of wake-sleep data using UMACE filter. In 2007 5th Student Conference on Research and Development, SCORED. 2007. 4451421 https://doi.org/10.1109/SCORED.2007.4451421
Ghafar, Rosniwati ; Tahir, Nooritawati Md ; Hussain, Aini ; Abdul Samad, Salina. / EEG analysis of wake-sleep data using UMACE filter. 2007 5th Student Conference on Research and Development, SCORED. 2007.
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