Papers
6
Total Citations
390
H-Index
5
About
W. David Hairston is a leading figure in mobile electroencephalography (EEG), pioneering methods to capture clean brain signals during real-world movement. His core research focuses on removing motion and muscle artifacts from EEG recordings, enabling the study of human electrocortical dynamics during locomotion. Hairston’s major contributions include developing a novel dual-layer EEG electrode system that cancels motion artifacts, validated using a robotic motion platform and a phantom head model. His highly cited work—with papers garnering 117, 112, and 102 citations—has fundamentally advanced the feasibility of mobile brain imaging. Notably, his 2019 study on electrocortical dynamics while stepping over obstacles demonstrated how humans process visual information during walking and running, a breakthrough for understanding naturalistic behavior. Beyond fundamental neuroscience, Hairston applies these techniques to brain-computer interfaces (BCIs) for autonomous control and soldier decisiveness, bridging lab science with real-world applications. His work has been instrumental in making EEG robust for use outside controlled settings, impacting fields from rehabilitation to defense.
Research Focus
Key Achievements
Top Papers
- 1Human electrocortical dynamics while stepping over obstacles117 citations · 2019
- 2
- 3Dual-electrode motion artifact cancellation for mobile electroencephalography102 citations · 2018
- 4
- 5EEG based BCI for Autonomous Control: A Review5 citations · 2023
- 6