W. David Hairston

According to our database, W. David Hairston authored at least 29 papers between 2009 and 2023.

Collaborative distances:

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

2023

Scalable Anatomically-Tunable Fully In-Ear Dry-Electrode Array for User-Generic Unobtrusive Electrophysiology.

Min Suk Lee, Akshay Paul, Tae Houn Joung, Yuchen Xu, Jiajia Wu, W. David Hairston, Gert Cauwenberghs

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2021

A Flexible Multichannel EEG Artifact Identification Processor using Depthwise-Separable Convolutional Neural Networks.

Mohit Khatwani, Hasib-Al Rashid, Hirenkumar Paneliya, Mark Horton, Nicholas R. Waytowich, W. David Hairston, Tinoosh Mohsenin

ACM J. Emerg. Technol. Comput. Syst., 2021

2020

Faster Gait Speeds Reduce Alpha and Beta EEG Spectral Power From Human Sensorimotor Cortex.

Andrew D. Nordin, W. David Hairston, Daniel P. Ferris

IEEE Trans. Biomed. Eng., 2020

A Low-Power LSTM Processor for Multi-Channel Brain EEG Artifact Detection.

Hasib-Al Rashid, Nitheesh Kumar Manjunath, Hirenkumar Paneliya, Morteza Hosseini, W. David Hairston, Tinoosh Mohsenin

Proceedings of the 21st International Symposium on Quality Electronic Design, 2020

2019

Faster gait speeds suppress human auditory electrocortical responses.

Andrew D. Nordin, W. David Hairston, Daniel P. Ferris

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

tACS generator as method for evaluating EEG electrodes: Initial validation using pig skin.

Christopher G. Sinks, Michael W. Nonte, W. David Hairston

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

Adding neck muscle activity to a head phantom device to validate mobile EEG muscle and motion artifact removal ^*.

Natalie Richer, Ryan J. Downey, Andrew D. Nordin, W. David Hairston, Daniel P. Ferris

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

On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning.

Bharat Prakash, Mark Horton, Nicholas R. Waytowich, William David Hairston, Tim Oates, Tinoosh Mohsenin

Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

2018

Effects of Cable Sway, Electrode Surface Area, and Electrode Mass on Electroencephalography Signal Quality during Motion.

Evangelia-Regkina Symeonidou, Andrew D. Nordin, W. David Hairston, Daniel P. Ferris

Sensors, 2018

Denoising Time Series Data Using Asymmetric Generative Adversarial Networks.

Sunil Gandhi, Tim Oates, Tinoosh Mohsenin, W. David Hairston

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Novel Methods for EEG Visualization and Visualization.

David Slayback, Syed Abdali, Justin Brooks, W. David Hairston, Paul Groves

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Live Demonstration: Novel Methods for EEG Visualization and Virtualization.

David Slayback, Syed Abdali, Justin Brooks, W. David Hairston, Paul Groves

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Hardware Implementation of an Adaptive Data Acquisition System for Real-World EEG.

Catherine J. Poirier, Peter Gadfort, Anna M. R. Dixon, Michael W. Nonte, Joseph K. Conroy, W. David Hairston

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Performance of conformable, dry EEG sensors.

J. Cortney Bradford, Benjamin Burke, Christina Nguyen, Geoffrey A. Slipher, Randy A. Mrozek, W. David Hairston

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Energy Efficient Convolutional Neural Networks for EEG Artifact Detection.

Mohit Khatwani, Morteza Hosseini, Hirenkumar Paneliya, Tinoosh Mohsenin, W. David Hairston, Nicholas R. Waytowich

Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018

2017

BLASST: Band Limited Atomic Sampling With Spectral Tuning With Applications to Utility Line Noise Filtering.

Kenneth Ball, W. David Hairston, Piotr J. Franaszczuk, Kay A. Robbins

IEEE Trans. Biomed. Eng., 2017

Switching EEG Headsets Made Easy: Reducing Offline Calibration Effort Using Active Weighted Adaptation Regularization.

Dongrui Wu, Vernon J. Lawhern, W. David Hairston, Brent J. Lance

CoRR, 2017

Online adaptive data acquisition enabling ultra-low power real-world EEG.

Michael W. Nonte, Joseph K. Conroy, Peter Gadfort, William D. Hairston

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

An EEG artifact identification embedded system using ICA and multi-instance learning.

Ali Jafari, Sunil Gandhi, Sri Harsha Konuru, W. David Hairston, Tim Oates, Tinoosh Mohsenin

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2016

New Flexible Silicone-Based EEG Dry Sensor Material Compositions Exhibiting Improvements in Lifespan, Conductivity, and Reliability.

Yi-Hsin Yu, Shih-Hsun Chen, Che-Lun Chang, Chin-Teng Lin, W. David Hairston, Randy A. Mrozek

Sensors, 2016

Usability of EEG Systems: User Experience Study.

Krzysztof Izdebski, Anderson Souza Oliveira, Bryan R. Schlink, Petr Legkov, Silke Kärcher, W. David Hairston, Daniel P. Ferris, Peter König

Proceedings of the 9th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2016

A multi-channel EEG system featuring single-wire data aggregation via FM-FDM techniques.

Julian Warchall, Aishwarya Balakrishnan, Ozgur Balkan, Patrick P. Mercier, Harinath Garudadri, W. David Hairston, Paul T. Theilmann

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Adaptive Thresholding and Reweighting to Improve Domain Transfer Learning for Unbalanced Data with Applications to EEG Imbalance.

Kyungmin Su, W. David Hairston, Kay A. Robbins

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Comparing EEG Artifact Detection Methods for Real-World BCI.

Michael W. Nonte, William D. Hairston, Stephen M. Gordon

Proceedings of the Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience, 2016

2015

How Low Can You Go? Empirically Assessing Minimum Usable DAQ Performance for Highly Fieldable EEG Systems.

W. David Hairston, Vernon Lawhern

Proceedings of the Foundations of Augmented Cognition, 2015

2013

Real-World Neuroimaging Technologies.

Kaleb McDowell, Chin-Teng Lin, Kelvin S. Oie, Tzyy-Ping Jung, Stephen M. Gordon, Keith W. Whitaker, Shih-Yu Li, Shao-Wei Lu, W. David Hairston

IEEE Access, 2013

Optimal Feature Selection for Artifact Classification in EEG Time Series.

Vernon Lawhern, W. David Hairston, Kay Robbins

Proceedings of the Foundations of Augmented Cognition, 2013

A Real-World Neuroimaging System to Evaluate Stress.

Bret Kellihan, Tracy Jill Doty, W. David Hairston, Jonroy Canady, Keith W. Whitaker, Chin-Teng Lin, Tzyy-Ping Jung, Kaleb McDowell

Proceedings of the Foundations of Augmented Cognition, 2013

2009

An adaptive staircase procedure for the E-Prime programming environment.

W. David Hairston, Joseph A. Maldjian

Comput. Methods Programs Biomed., 2009