Showing 1 - 13 results of 13 for search '"Electroencephalography', query time: 0.07s Refine Results
  1. 1

    Wavelet based filters for artifact elimination in electroencephalography signal: A review by Sayed Daud, Syarifah Noor Syakiylla, Sudirman, Rubita

    Published 2022
    “…Electroencephalography (EEG) is a diagnostic test that records and measures the electrical activity of the human brain. …”
    Article
  2. 2

    Effect of audiovisual stimulation on adult memory performance based electroencephalography wavelet analysis by Sayed Daud, Syarifah Noor Syakiylla, Sudirman, Rubita

    Published 2022
    “…This research investigates the effect of audiovisual stimulation on adult memory based on electroencephalography (EEG) analysis. Sixty college students are participating in this experimental study. …”
    Article
  3. 3

    Features of brain rhythms during the visual memorizing task and auditory stimuli using electroencephalography by Sayed Daud, Syarifah Noor Syakiylla, Sudirman, Rubita, Omar, Camallil

    Published 2022
    “…Introduction: Brain rhythms are usually measured using electroencephalography (EEG) to detect changes in neuronal activity associated with specific human activity and behavior. …”
    Article
  4. 4

    Safe-level SMOTE method for handling the class imbalanced problem in electroencephalography dataset of adult anxious state by Sayed Daud, Syarifah Noor Syakiylla, Sudirman, Rubita, Tee, Wee Shing

    Published 2023
    “…Measuring brain signals using the electroencephalography (EEG) modality is one of the ways to detect anxiety. …”
    Article
  5. 5

    Decomposition level comparison of stationary wavelet transform filter for visual task electroencephalogram by Sayed Daud, Syarifah Noor Syakiylla, Sudirman, Rubita

    Published 2015
    “…Many modalities such as medical resonance imaging (MRI), computerized tomography (CT), positron emission tomography (PET), electroencephalography (EEG) and etc. has been invented. However, between this modality the electroencephalography widely chosen by researchers due to it is low cost, non-invasive techniques, and safely use. …”
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    Article
  6. 6

    Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution by Sudirman, Rubita, W. Daud, W. M. Bukhari

    Published 2011
    “…In this study, we describe the identification electroencephalography (EOG) signals of eye movement potentials by using wavelet algorithm which gives a lot of information than FFT. …”
    Conference or Workshop Item
  7. 7

    Effect of white noise stimulation and visual working memory task on brain signal by Daud, S. S, Sudirman, Rubita

    Published 2015
    “…They are required to memorize the task within two minutes. Electroencephalography (EEG) machine (Neurofax 9200) with 10-20 placement electrodes was used to record the electrical activity of the brain. …”
    Article
  8. 8

    Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution by Sudirman, Rubita, Daud, W. M. B. W.

    Published 2011
    “…In this study, we describe the identification electroencephalography (EOG) signals of eye movement potentials by using wavelet algorithm which gives a lot of information than FFT. …”
    Book Section
  9. 9

    Analysis on visual signal based on the effect of eye massaging device using wavelet transform by Alwi, Azmi, Mansor, Fatin Afiqa, Sudirman, Rubita

    Published 2015
    “…The electrical activity of the muscles surrounding the eyes is recorded by using Neurofax EEG-9200 machine. Electroencephalography (EEG) is a process to determine the brain signal, while Electrooculography (EOG) is used to measure the biopotential produced by the changes in eye position and eye movement occurred. …”
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    Article
  10. 10

    Artifact removal and brain rhythm decomposition for eeg signal using wavelet approach by Sayed Daud, Syarifah Noor Syakiylla, Sudirman, Rubita

    Published 2016
    “…This recent study introduces and discusses briefly the use of wavelet approach in removing the artifacts and extraction of features for electroencephalography (EEG) signal. Many of new approaches have been discovered by the researcher for processing the EEG signal. …”
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    Article
  11. 11

    Denoising semi-simulated EEG signal contaminated ocular noise using various wavelet filters by Sayed Daud, Syarifah Noor Syakiylla, Sudirman, Rubita, Mahmood, Nasrul Humaimi, Omar, Camallil

    Published 2022
    “…Denoising is crucial in electroencephalography (EEG) processing to remove undesired components contaminated in a signal. …”
    Conference or Workshop Item
  12. 12

    Denoising semi-simulated EEG signal contaminated ocular noise using various wavelet filters by Sayed Daud, Syarifah Noor Syakiylla, Sudirman, Rubita, Mahmood, Nasrul Humaimi, Omar, Camallil

    Published 2022
    “…Denoising is crucial in electroencephalography (EEG) processing to remove undesired components contaminated in a signal. …”
    Conference or Workshop Item
  13. 13

    Electroencephalogram pattern under exposure of audio stimulation and verbal memory assessment by Sayed Daud, Syarifah Noor Syakiylla, Sudirman, Rubita, Ramli, Norhafizah

    Published 2022
    “…This recent work aims to investigate brain activities using electroencephalography (EEG) under audio and verbal memory assessment stimulation. …”
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    Article