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cs.LG2021
Classification of fNIRS Data Under Uncertainty: A Bayesian Neural Network Approach
Talha Siddique, Md Shaad Mahmud
Functional Near-Infrared Spectroscopy (fNIRS) is a non-invasive form of Brain-Computer Interface (BCI). It is used for the imaging of brain hemodynamics and has gained popularity d…
cs.LG2021
A Ternary Bi-Directional LSTM Classification for Brain Activation Pattern Recognition Using fNIRS
Sajila D. Wickramaratne, MD Shaad Mahmud
Functional near-infrared spectroscopy (fNIRS) is a non-invasive, low-cost method used to study the brain's blood flow pattern. Such patterns can enable us to classify performed by…
cs.LG2021
A Deep Learning Based Ternary Task Classification System Using Gramian Angular Summation Field in fNIRS Neuroimaging Data
Sajila D. Wickramaratne, Md Shaad Mahmud
Functional near-infrared spectroscopy (fNIRS) is a non-invasive, economical method used to study its blood flow pattern. These patterns can be used to classify tasks a subject is p…