W David D. Hairston

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"W David Hairston"
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Mark C. Zrull research assistant 1994-1995 Appalachian State University
James Anthony Schirillo grad student 1999-2001 Wake Forest
Mark T. Wallace grad student 2001-2006 Wake Forest
 (Multisensory enhancement of perceptual acuity: Studies of space and time.)
Joseph A. Maldjian post-doc 2006-2008 Wake Forest School of Medicine
 (awesome lab)
Kaleb G. McDowell post-doc 2008-2009 Us Army Research Laboratory
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Publications

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David Hairston W, Whitaker KW, Ries AJ, et al. (2014) Usability of four commercially-oriented EEG systems. Journal of Neural Engineering. 11: 046018
Bhargava P, Hairston WD, Proie RM. (2014) A 262nW analog front end with a digitally-assisted low noise amplifier for batteryless EEG acquisition 2014 Soi-3d-Subthreshold Microelectronics Technology Unified Conference, S3s 2014
Lawhern V, Hairston WD, Robbins K. (2013) DETECT: a MATLAB toolbox for event detection and identification in time series, with applications to artifact detection in EEG signals. Plos One. 8: e62944
Hairston WD, Letowski TR, McDowell K. (2013) Task-related suppression of the brainstem frequency following response. Plos One. 8: e55215
Gordon SM, Franaszczuk PJ, Hairston WD, et al. (2013) Comparing parametric and nonparametric methods for detecting phase synchronization in EEG. Journal of Neuroscience Methods. 212: 247-58
Doty TJ, Hairston WD, Kellihan B, et al. (2013) Developing a wearable real-world neuroimaging system to study stress International Ieee/Embs Conference On Neural Engineering, Ner. 786-789
Mcdowell K, Lin CT, Oie KS, et al. (2013) Real-world neuroimaging technologies Ieee Access. 1: 131-149
Lawhern V, Hairston WD, Robbins K. (2013) Optimal feature selection for artifact classification in EEG time series Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8027: 326-334
Kellihan B, Doty TJ, Hairston WD, et al. (2013) A real-world neuroimaging system to evaluate stress Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8027: 316-325
Lawhern V, Hairston WD, McDowell K, et al. (2012) Detection and classification of subject-generated artifacts in EEG signals using autoregressive models. Journal of Neuroscience Methods. 208: 181-9
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