Bahareh Behboodi

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Bahareh Behboodi

MSc. student

E3-504, +82-53-785-6341 (office)

baharehb70 (at) dgist (dot) ac (dot) kr


Education

  • [2016/03 ~ present]

MSc. Information and Communication Eng., DGIST, Daegu, South Korea

  • [2009/09 ~ 2013/09]

BSc. Biomedical Eng., Amirkabir University of Technology, Tehran, Iran


Research Interest

My research interest spans the area of assessing non-invasive imaging of the brain such as fMRI and fNIRS. So far, I am focusing on resting state connectivity analysis of brain functions using fNIRS.


Publications

  • (Journal) Thanawin Trakoolwilaiwan, Bahareh Behboodi, Jaeseok Lee, Kyungsoo Kim, and Ji-Woong Choi, “Convolutional neural network for high-accuracy functional near-infrared spectroscopy in a brain–computer interface: three-class classification of rest, right-, and left-hand motor execution”, Neurophotonics, 2017. (accepted)

 

  • (Conference) Bahareh Behboodi, Kyungsoo Kim, Ji-Woong Choi, “Eye blink motion artifact removal using kurtosis-based wavelet algorithm in Prefrontal area”, fNIRS 2016, Paris, France. (poster presentation)