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Alexander Craik

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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
Classification and Transfer Learning of EEG during a Kinesthetic Motor Imagery Task using Deep Convolutional Neural NetworksAlexander Craik, Atilla Kilicarslan, Jose L Contreras-Vidal
Journal of Neural Engineering|October 30, 2024
Continuous and discrete decoding of overt speech with scalp electroencephalography (EEG)Alexander Craik, Heather Dial, Jose L Contreras-Vidal
Journal of Neural Engineering|February 27, 2019
Deep learning for electroencephalogram (EEG) classification tasks: a reviewAlexander Craik, Yongtian He, Jose L Contreras-Vidal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Deep Learning-Based Ground Reaction Force Estimation for Real-Time Clinical ApplicationsAlexander Aasmann, Kim K Peper, Alexander Craik, et al.
Sensors (Basel, Switzerland)|July 14, 2023
Design and Validation of a Low-Cost Mobile EEG-Based Brain-Computer InterfaceAlexander Craik, Juan José González-España, Ayman Alamir, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 20, 2021
A Mixed Filtering Approach for Real-Time Seizure State Tracking Using Multi-Channel Electroencephalography DataAlexander G Steele, Sankalp Parekh, Hamid Fekri Azgomi, et al.
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Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
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
Classification and Transfer Learning of EEG during a Kinesthetic Motor Imagery Task using Deep Convolutional Neural NetworksAlexander Craik, Atilla Kilicarslan, Jose L Contreras-Vidal
Journal of Neural Engineering|October 30, 2024
Continuous and discrete decoding of overt speech with scalp electroencephalography (EEG)Alexander Craik, Heather Dial, Jose L Contreras-Vidal
Journal of Neural Engineering|February 27, 2019
Deep learning for electroencephalogram (EEG) classification tasks: a reviewAlexander Craik, Yongtian He, Jose L Contreras-Vidal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Deep Learning-Based Ground Reaction Force Estimation for Real-Time Clinical ApplicationsAlexander Aasmann, Kim K Peper, Alexander Craik, et al.
Sensors (Basel, Switzerland)|July 14, 2023
Design and Validation of a Low-Cost Mobile EEG-Based Brain-Computer InterfaceAlexander Craik, Juan José González-España, Ayman Alamir, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 20, 2021
A Mixed Filtering Approach for Real-Time Seizure State Tracking Using Multi-Channel Electroencephalography DataAlexander G Steele, Sankalp Parekh, Hamid Fekri Azgomi, et al.
Pageof 1