Karl A. McCreadie

According to our database, Karl A. McCreadie authored at least 14 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Decoding Motion Trajectories in an Upper Limb BCI: Linear Regression vs Deep Learning.

Niall McShane, Karl A. McCreadie, Darryl Charles, Attila Korik, Damien Coyle

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

Welcome Message from the General Chairs and Technical Program Chairs.

Damien Coyle, Pasquale Arpaia, Loredana Cristaldi, Lucio Tommaso De Paolis, Marco Sacco, Antonio Esposito, Simone Barcellona, Egidio De Benedetto, Aldo Franco Dragoni, Karl A. McCreadie

Proceedings of the IEEE International Conference on Metrology for eXtended Reality, 2023

2022

Logistic Regression With Tangent Space-Based Cross-Subject Learning for Enhancing Motor Imagery Classification.

Pramod Gaur, Anirban Chowdhury, Karl A. McCreadie, Ram Bilas Pachori, Hui Wang

IEEE Trans. Cogn. Dev. Syst., 2022

Online 3D Motion Decoder BCI for Embodied Virtual Reality Upper Limb Control: A Pilot Study.

Niall McShane, Karl A. McCreadie, Darryl Charles, Attila Korik, Damien Coyle

Proceedings of the IEEE International Conference on Metrology for Extended Reality, 2022

2021

A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI.

Pramod Gaur, Harsh Gupta, Anirban Chowdhury, Karl A. McCreadie, Ram Bilas Pachori, Hui Wang

IEEE Trans. Instrum. Meas., 2021

An automatic subject specific channel selection method for enhancing motor imagery classification in EEG-BCI using correlation.

Pramod Gaur, Karl A. McCreadie, Ram Bilas Pachori, Hui Wang, Girijesh Prasad

Biomed. Signal Process. Control., 2021

2020

MIEEG-GAN: Generating Artificial Motor Imagery Electroencephalography Signals.

Sujit Roy, Shirin Dora, Karl A. McCreadie, Girijesh Prasad

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Tangent Space Features-Based Transfer Learning Classification Model for Two-Class Motor Imagery Brain-Computer Interface.

Pramod Gaur, Karl A. McCreadie, Ram Bilas Pachori, Hui Wang, Girijesh Prasad

Int. J. Neural Syst., 2019

Can a Single Model Deep Learning Approach Enhance Classification Accuracy of an EEG-based Brain-Computer Interface?

Sujit Roy, Karl A. McCreadie, Girijesh Prasad

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Channel Selection Improves MEG-based Brain-Computer Interface.

Sujit Roy, Dheeraj Rathee, Karl A. McCreadie, Girijesh Prasad

Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019

2017

Motor Imagery BCI with Auditory Feedback as a Mechanism for Assessment and Communication in Disorders of Consciousness.

Damien Coyle, Jacqueline Stow, Karl A. McCreadie, Nadia Sciacca, Jacinta McElligott, Áine Carroll

Proceedings of the Brain-Computer Interface Research - A State-of-the-Art Summary 5, 2017

2013

Musical spacialised auditory feedback for a brain-computer interface.

Karl A. McCreadie

PhD thesis, 2013

Sensorimotor learning with stereo auditory feedback for a brain-computer interface.

Karl A. McCreadie, Damien Coyle, Girijesh Prasad

Medical Biol. Eng. Comput., 2013

2012

Learning to modulate sensorimotor rhythms with stereo auditory feedback for a brain-computer interface.

Karl A. McCreadie, Damien H. Coyle, Girijesh Prasad

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012