Search Results - Al-Shargie, F.

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  1. 1
    Mental stress grading based on fNIRS signals

    Mental stress grading based on fNIRS signals by Al-Shargie, F., Tang, T.B., Kiguchi, M.

    Published 2016
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  2. 2
    Stress Assessment Based on Decision Fusion of EEG and fNIRS Signals

    Stress Assessment Based on Decision Fusion of EEG and fNIRS Signals by Al-Shargie, F., Tang, T.B., Kiguchi, M.

    Published 2017
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  3. 3
    Mental stress assessment based on feature level fusion of fNIRS and EEG signals

    Mental stress assessment based on feature level fusion of fNIRS and EEG signals by Al-Shargie, F., Tang, T.B., Badruddin, N., Dass, S.C., Kiguchi, M.

    Published 2017
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  4. 4
    Assessment of mental stress effects on prefrontal cortical activities using canonical correlation analysis: An fNIRS-EEG study

    Assessment of mental stress effects on prefrontal cortical activities using canonical correlation analysis: An fNIRS-EEG study by Al-Shargie, F., Tang, T.B., Kiguchi, M.

    Published 2017
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  5. 5
    Mental stress assessment using simultaneous measurement of EEG and fNIRS

    Mental stress assessment using simultaneous measurement of EEG and fNIRS by Al-Shargie, F., Kiguchi, M., Badruddin, N., Dass, S.C., Hani, A.F.M., Tang, T.B.

    Published 2016
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  6. 6
    Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach

    Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach by Al-shargie, F., Tang, T.B., Badruddin, N., Kiguchi, M.

    Published 2018
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  7. 7
    Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach

    Towards multilevel mental stress assessment using SVM with ECOC: an EEG approach by Al-shargie, F., Tang, T.B., Badruddin, N., Kiguchi, M.

    Published 2018
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  8. 8
    Complexity Analysis of EEG in Patients With Social Anxiety Disorder Using Fuzzy Entropy and Machine Learning Techniques

    Complexity Analysis of EEG in Patients With Social Anxiety Disorder Using Fuzzy Entropy and Machine Learning Techniques by Al-Ezzi, A., Al-Shargabi, A.A., Al-Shargie, F., Zahary, A.T.

    Published 2022
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