• Analysis of Optical Brain Signals Using Connectivity Graph Networks 

      Pinto-Orellana, Marco Antonio; Hammer, Hugo Lewi (Lecture Notes in Computer Science;Volume 12279, Conference object, 2020-08-18)
      Graph network analysis (GNA) showed a remarkable role for understanding brain functions, but its application is mainly nar-rowed to fMRI research. Connectivity analysis (CA) is introduced as a signal-to-graph mapping in a ...
    • Classification of Individual Finger Movements from Right Hand Using fNIRS Signal 

      Khan, Haroon; Noori, Farzan Majeed; Yazidi, Anis; Uddin, Md Zia; Khan, M.N Afzal; Mirtaheri, Peyman (Sensors;Volume 21 / Issue 23, Peer reviewed; Journal article, 2021-11-28)
      Functional near-infrared spectroscopy (fNIRS) is a comparatively new noninvasive, portable, and easy-to-use brain imaging modality. However, complicated dexterous tasks such as individual finger-tapping, particularly using ...
    • Experimental investigation on the light transmission of a textile-based over-cap used in functional near-infrared spectroscopy 

      Sherkat, Habib; Gjøvaag, Terje; Mirtaheri, Peyman (Proceedings of SPIE;Volume 11074, Journal article; Peer reviewed, 2019)
      Functional near-infrared spectroscopy as an optical (i.e., light-based) neuroimaging technique is susceptive to ambient light noise. In the daily task scenario experiments, light is required to monitor the movement of ...
    • SHADE: Absorption spectroscopy enhancement with ambient light estimation and narrow-band detection 

      Sherkat, Habib; Pinto-Orellana, Marco Antonio; Mirtaheri, Peyman (Optik;Volume 220, October 2020, Journal article; Peer reviewed, 2020-06-19)
      Ambient light (AML) limits the usage of absorption spectroscopy to strictly-controlled environments due to its impact on the quality of the signals. In medical applications for Optical instruments that require high reliability ...