@inproceedings{scholars7178,
            year = {2016},
             doi = {10.1109/ICSIPA.2015.7412205},
            note = {cited By 24; Conference of 4th IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2015 ; Conference Date: 19 October 2015 Through 21 October 2015; Conference Code:119504},
           pages = {282--286},
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
         journal = {IEEE 2015 International Conference on Signal and Image Processing Applications, ICSIPA 2015 - Proceedings},
           title = {Simultaneous measurement of EEG-fNIRS in classifying and localizing brain activation to mental stress},
          author = {Al-Shargie, F. and Tang, T. B. and Badruddin, N. and Kiguchi, M.},
            isbn = {9781479989966},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84971669258&doi=10.1109\%2fICSIPA.2015.7412205&partnerID=40&md5=9be495b6753df8f9dc951e8f32c00ec9},
        keywords = {Correlation methods; Hemoglobin; Image processing; Infrared devices; Near infrared spectroscopy; Signal detection; Stresses; Support vector machines, Brain activation; Concentration change; fNIRS; Functional near-infrared spectroscopy (fnirs); Hemodynamic response; Oxygenated hemoglobin; Prefrontal cortex; Simultaneous measurement, Electroencephalography},
        abstract = {Functional Near Infrared Spectroscopy (fNIRS) has been proposed as a means to detect mental stress by measuring the concentration change of oxygenated hemoglobin (HbO) and deoxygenated hemoglobin (HbR) on the prefrontal cortex. In this study, simultaneous measurement of EEG-fNIRS on five healthy subjects was performed. We investigated the correlation between the hemodynamic responses and EEG alpha rhythm of mental stress during arithmetic task. The study demonstrated the significance of EEG and fNIRS signals in discriminating mental stress from baseline with p-value of 0.04 and 0.0014 respectively. We confirm that there is a correlation between EEG Alpha rhythm and concentration change of oxygenated hemoglobin with stress task. Using support vector machine (SVM), the detection rate of mental stress is 81, and 95 using fNIRS and EEG respectively. {\^A}{\copyright} 2015 IEEE.}
}