David Thompson
David Thompson
Associate Professor of Electrical and Computer Engineering, Kansas State University
Verified email at
Cited by
Cited by
Optimizing the P300-based brain–computer interface: current status, limitations and future directions
JN Mak, Y Arbel, JW Minett, LM McCane, B Yuksel, D Ryan, D Thompson, ...
Journal of neural engineering 8 (2), 025003, 2011
Comparison of spike sorting and thresholding of voltage waveforms for intracortical brain–machine interface performance
BP Christie, DM Tat, ZT Irwin, V Gilja, P Nuyujukian, JD Foster, SI Ryu, ...
Journal of neural engineering 12 (1), 016009, 2014
Performance measurement for brain–computer or brain–machine interfaces: a tutorial
DE Thompson, LR Quitadamo, L Mainardi, S Gao, PJ Kindermans, ...
Journal of neural engineering 11 (3), 035001, 2014
Flavopiridol reduces the impedance of neural prostheses in vivo without affecting recording quality
EK Purcell, DE Thompson, KA Ludwig, DR Kipke
Journal of neuroscience methods 183 (2), 149-157, 2009
Performance assessment in brain-computer interface-based augmentative and alternative communication
DE Thompson, S Blain-Moraes, JE Huggins
Biomedical engineering online 12 (1), 43, 2013
Data-driven model comparing the effects of glial scarring and interface interactions on chronic neural recordings in non-human primates
KA Malaga, KE Schroeder, PR Patel, ZT Irwin, DE Thompson, JN Bentley, ...
Journal of neural engineering 13 (1), 016010, 2015
Classifier-based latency estimation: a novel way to estimate and predict BCI accuracy
DE Thompson, S Warschausky, JE Huggins
Journal of neural engineering 10 (1), 016006, 2012
Neural control of finger movement via intracortical brain–machine interface
ZT Irwin, KE Schroeder, PP Vu, AJ Bullard, DM Tat, CS Nu, A Vaskov, ...
Journal of neural engineering 14 (6), 066004, 2017
Enabling low-power, multi-modal neural interfaces through a common, low-bandwidth feature space
ZT Irwin, DE Thompson, KE Schroeder, DM Tat, A Hassani, AJ Bullard, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (5 …, 2015
Workshops of the fifth international brain-computer interface meeting: defining the future
JE Huggins, C Guger, B Allison, CW Anderson, A Batista, AM Brouwer, ...
Brain-Computer Interfaces 1 (1), 27-49, 2014
A plug-and-play brain-computer interface to operate commercial assistive technology
DE Thompson, KL Gruis, JE Huggins
Disability and Rehabilitation: Assistive Technology 9 (2), 144-150, 2014
Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters
C Carlson, VR Turpin, A Suliman, C Ade, S Warren, DE Thompson
Sensors 21 (1), 156, 2021
Enhancing P300-BCI performance using latency estimation
MR Mowla, JE Huggins, DE Thompson
Brain-Computer Interfaces 4 (3), 137-145, 2017
A small, high-fidelity reflectance pulse oximeter
D Thompson, S Warren
2007 Annual Conference and Exposition, American Society for Engineering …, 2007
Pulse oximeter improvement with an ADC-DAC feedback loop and a radial reflectance sensor
D Thompson, A Wareing, D Day, S Warren
2006 International Conference of the IEEE Engineering in Medicine and …, 2006
Motion artifact detection and reduction in bed-based ballistocardiogram
A Alivar, C Carlson, A Suliman, S Warren, P Prakash, DE Thompson, ...
IEEE Access 7, 13693-13703, 2019
Electrode subset selection methods for an EEG-based P300 brain-computer interface
MT McCann, DE Thompson, ZH Syed, JE Huggins
Disability and Rehabilitation: Assistive Technology 10 (3), 216-220, 2015
Affective brain-computer interfaces: Choosing a meaningful performance measuring metric
MR Mowla, RI Cano, KJ Dhuyvetter, DE Thompson
Computers in Biology and Medicine 126, 104001, 2020
Robust tactile sensory responses in finger area of primate motor cortex relevant to prosthetic control
KE Schroeder, ZT Irwin, AJ Bullard, DE Thompson, JN Bentley, ...
Journal of neural engineering 14 (4), 046016, 2017
Plug-and-play brain-computer interface keyboard performance
DE Thompson, JJ Baker, WA Sarnacki, JE Huggins
2009 4th International IEEE/EMBS Conference on Neural Engineering, 433-435, 2009
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