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W. David Hairston [4]W. D. Hairston [1]
  1.  84
    Systems, Subjects, Sessions: To What Extent Do These Factors Influence EEG Data?Andrew Melnik, Petr Legkov, Krzysztof Izdebski, Silke M. Kärcher, W. David Hairston, Daniel P. Ferris & Peter König - 2017 - Frontiers in Human Neuroscience 11.
  2.  93
    Proposing Metrics for Benchmarking Novel EEG Technologies Towards Real-World Measurements.Anderson S. Oliveira, Bryan R. Schlink, W. David Hairston, Peter König & Daniel P. Ferris - 2016 - Frontiers in Human Neuroscience 10.
  3.  16
    Sustained Attention in Real Classroom Settings: An EEG Study.Li-Wei Ko, Oleksii Komarov, W. David Hairston, Tzyy-Ping Jung & Chin-Teng Lin - 2017 - Frontiers in Human Neuroscience 11.
  4.  12
    Independent Component Analysis and Source Localization on Mobile EEG Data Can Identify Increased Levels of Acute Stress.Bryan R. Schlink, Steven M. Peterson, W. D. Hairston, Peter König, Scott E. Kerick & Daniel P. Ferris - 2017 - Frontiers in Human Neuroscience 11.
  5.  25
    Traumatic Brain Injury Detection Using Electrophysiological Methods.Paul E. Rapp, David O. Keyser, Alfonso Albano, Rene Hernandez, Douglas B. Gibson, Robert A. Zambon, W. David Hairston, John D. Hughes, Andrew Krystal & Andrew S. Nichols - 2015 - Frontiers in Human Neuroscience 9:112527.
    Measuring neuronal activity with electrophysiological methods may be useful in detecting neurological dysfunctions, such as mild traumatic brain injury (mTBI). This approach may be particularly valuable for rapid detection in at-risk populations including military service members and athletes. Electrophysiological methods, such as quantitative electroencephalography (qEEG) and recording event-related potentials (ERPs) may be promising; however, the field is nascent and significant controversy exists on the efficacy and accuracy of the approaches as diagnostic tools. For example, the specific measures derived from an (...)
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