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  1.  33
    fNIRS-Based Brain-Computer Interfaces: A Review.Noman Naseer & Keum-Shik Hong - 2015 - Frontiers in Human Neuroscience 9.
  2.  33
    Determining Optimal Feature-Combination for LDA Classification of Functional Near-Infrared Spectroscopy Signals in Brain-Computer Interface Application.Noman Naseer, Farzan M. Noori, Nauman K. Qureshi & Keum-Shik Hong - 2016 - Frontiers in Human Neuroscience 10.
  3.  12
    Commentary: Correlation of Prefrontal Cortical Activation with Changing Vehicle Speeds in Actual Driving: A Vector-Based Functional Near-Infrared Spectroscopy Study.Noman Naseer - 2015 - Frontiers in Human Neuroscience 9.
  4.  22
    Control of a Prosthetic Leg Based on Walking Intentions for Gait Rehabilitation: An fNIRS Study.Rayyan Khan, Noman Naseer, Hammad Nazeer & Malik Nasir Khan - 2018 - Frontiers in Human Neuroscience 12.
    This abstract presents a novel brain-computer interface (BCI) framework to control a prosthetic leg, for the rehabilitation of patients suffering from locomotive disorders, using functional near-infrared spectroscopy (fNIRS). fNIRS signals corresponding to walking intention and rest are used to initiate and stop the gait cycle and a nonlinear proportional derivative computed torque controller (PD-CTC) with gravity compensation is used to control torques of hip and knee joints for minimization of position error. The brain signals of walking intention and rest tasks (...)
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  5.  7
    Vector Phase Analysis Approach for Sleep Stage Classification: A Functional Near-Infrared Spectroscopy-Based Passive Brain–Computer Interface.Saad Arif, Muhammad Jawad Khan, Noman Naseer, Keum-Shik Hong, Hasan Sajid & Yasar Ayaz - 2021 - Frontiers in Human Neuroscience 15.
    A passive brain–computer interface based upon functional near-infrared spectroscopy brain signals is used for earlier detection of human drowsiness during driving tasks. This BCI modality acquired hemodynamic signals of 13 healthy subjects from the right dorsolateral prefrontal cortex of the brain. Drowsiness activity is recorded using a continuous-wave fNIRS system and eight channels over the right DPFC. During the experiment, sleep-deprived subjects drove a vehicle in a driving simulator while their cerebral oxygen regulation state was continuously measured. Vector phase analysis (...)
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    Analysis of Human Gait Using Hybrid EEG-fNIRS-Based BCI System: A Review.Haroon Khan, Noman Naseer, Anis Yazidi, Per Kristian Eide, Hafiz Wajahat Hassan & Peyman Mirtaheri - 2021 - Frontiers in Human Neuroscience 14.
    Human gait is a complex activity that requires high coordination between the central nervous system, the limb, and the musculoskeletal system. More research is needed to understand the latter coordination's complexity in designing better and more effective rehabilitation strategies for gait disorders. Electroencephalogram and functional near-infrared spectroscopy are among the most used technologies for monitoring brain activities due to portability, non-invasiveness, and relatively low cost compared to others. Fusing EEG and fNIRS is a well-known and established methodology proven to enhance (...)
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