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Functional Near Infrared Detection Of Real And Imagined Finger Taps Using Support Vector Machine, Linear Discriminant Analysis, And Decision Tree Classification Methods, Eugene A. Stoudenmire

Computational Modeling & Simulation Engineering Theses & Dissertations

This study investigates the thesis that given cerebral response samples of an individual's left, right, both, and imagined finger tapping, continuous wave (CW) functional Near Infrared (fNIR), unregistered with fMRI, can differentiate between any two of the four categories.

Fifty subjects were outfitted with a single source/detector attached to a single, square pad, affixed to their heads using devices such as elastic bands and caps for light shielding. Slides depicting arrows pointing left, right, both directions, or made of dashed lines were presented to each subject, with a slide of text interspersed between each. Subjects tapped with their left finger, …