David E Thompson, Ph.D.
Affiliations: | 2012- | Mike Wiegers Department of Electrical and Computer Engineering | Kansas State University, Manhattan, KS, United States |
Area:
Brain-Computer Interface, Performance MeasurementWebsite:
https://ece.k-state.edu/bbs/Google:
"Dave Thompson, Kansas State University ECE"Mean distance: 17.93 (cluster 49) | S | N | B | C | P |
Parents
Sign in to add mentor| Jane E. Huggins | grad student | 2007-2012 | University of Michigan (E-Tree) |
| Cynthia A. Chestek | post-doc | 2012-2013 | University of Michigan |
Children
Sign in to add trainee| Ahmad Suliman | grad student | Kansas State University | |
| Md Rakibul Mowla | grad student | 2015-2020 | Kansas State University |
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Publications
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| Ma G, Kang J, Thompson DE, et al. (2023) BCI-Utility Metric for Asynchronous P300 Brain-Computer Interface Systems. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 31: 3968-3977 |
| Khan NN, Sweet T, Harvey CA, et al. (2023) P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation. Journal of Visualized Experiments : Jove |
| Suliman A, Mowla MR, Alivar A, et al. (2023) Effects of Ballistocardiogram Peak Detection Jitters on the Quality of Heart Rate Variability Features: A Simulation-Based Case Study in the Context of Sleep Staging. Sensors (Basel, Switzerland). 23 |
| Baptist J, Thompson DE, Spencer C, et al. (2020) Clinical efficacy of EMDR in unipolar depression: Changes in theta cordance. Psychiatry Research. 296: 113696 |
| Carlson C, Turpin VR, Suliman A, et al. (2020) Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters. Sensors (Basel, Switzerland). 21 |
| Mowla MR, Gonzalez-Morales JD, Rico-Martinez J, et al. (2020) A Comparison of Classification Techniques to Predict Brain-Computer Interfaces Accuracy Using Classifier-Based Latency Estimation. Brain Sciences. 10 |
| Mowla MR, Cano RI, Dhuyvetter KJ, et al. (2020) Affective brain-computer interfaces: Choosing a meaningful performance measuring metric. Computers in Biology and Medicine. 126: 104001 |
| Alivar A, Carlson C, Suliman A, et al. (2020) Smart bed based daytime behavior prediction in Children with autism spectrum disorder - A Pilot Study. Medical Engineering & Physics. 83: 15-25 |
| Thompson DE, Mowla MR, Dhuyvetter KJ, et al. (2019) Automated Artifact Rejection Algorithms Harm P3 Speller Brain-Computer Interface Performance. Brain Computer Interfaces (Abingdon, England). 6: 141-148 |
| Suliman A, Carlson C, Ade CJ, et al. (2019) Performance Comparison for Ballistocardiogram Peak Detection Methods Ieee Access. 7: 53945-53955 |