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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Towards a Unified Framework for De-noising Neural SignalsAtilla Kilicarslan, Jose L Contreras-VidalAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Classification and Transfer Learning of EEG during a Kinesthetic Motor Imagery Task using Deep Convolutional Neural NetworksAlexander Craik, Atilla Kilicarslan, Jose L Contreras-VidalFrontiers in Neuroscience|April 20, 2017
Multiple Kernel Based Region Importance Learning for Neural Classification of Gait States from EEG SignalsYuhang Zhang, Saurabh Prasad, Atilla Kilicarslan, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
High accuracy decoding of user intentions using EEG to control a lower-body exoskeletonAtilla Kilicarslan, Saurabh Prasad, Robert G Grossman, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Classification of stand-to-sit and sit-to-stand movement from low frequency EEG with locality preserving dimensionality reductionThomas C Bulea, Saurabh Prasad, Atilla Kilicarslan, et al.Frontiers in Neuroscience|December 16, 2014
Sitting and standing intention can be decoded from scalp EEG recorded prior to movement executionThomas C Bulea, Saurabh Prasad, Atilla Kilicarslan, et al.Journal of Visualized Experiments : Jove|August 6, 2013
Simultaneous scalp electroencephalography (EEG), electromyography (EMG), and whole-body segmental inertial recording for multi-modal neural decodingThomas C Bulea, Atilla Kilicarslan, Recep Ozdemir, et al.Scientific Data|June 1, 2026
EEG-Controlled Exoskeleton for Walking and Standing: A Longitudinal Multimodal Dataset of Healthy IndividualsShantanu Sarkar, Kevin Nathan, Atilla Kilicarslan, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Towards a Portable Magnetoencephalography Based Brain Computer Interface with Optically-Pumped MagnetometersAndrew Y Paek, Atilla Kilicarslan, Branislav Korenko, et al.Conference Proceedings. IEEE International Conference on Systems, Man, and Cybernetics|September 3, 2015
Identifying Engineering, Clinical and Patient's Metrics for Evaluating and Quantifying Performance of Brain-Machine Interface (BMI) SystemsJose L Contreras-VidalPageof 10