W David Hairston
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Explore the profile of W David Hairston including associated specialties, affiliations and a list of published articles.
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34
Citations
871
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Recent Articles
1.
Lee M, Paul A, Joung T, Xu Y, Wu J, Hairston W, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2023 Dec;
2023:1-4.
PMID: 38082718
Traditional scalp EEG instrumentation is bulky and arduous to set up, requiring wires that constrain the subject's movement, conductive wet gels that dry over time which limits long-term recording, and/or...
2.
Richer N, Downey R, Hairston W, Ferris D, Nordin A
IEEE Trans Neural Syst Rehabil Eng
. 2020 Aug;
28(8):1825-1835.
PMID: 32746290
Motion and muscle artifacts can undermine signal quality in electroencephalography (EEG) recordings during locomotion. We evaluated approaches for recovering ground-truth artificial brain signals from noisy EEG recordings. We built an...
3.
Nordin A, Hairston W, Ferris D
IEEE Trans Biomed Eng
. 2019 Jun;
67(3):842-853.
PMID: 31199248
Objective: Our aim was to determine if walking speed affected human sensorimotor electrocortical dynamics using mobile high-density electroencephalography (EEG). Methods: To overcome limitations associated with motion and muscle artifact contamination...
4.
Nordin A, Hairston W, Ferris D
Sci Rep
. 2019 Mar;
9(1):4693.
PMID: 30886202
To better understand human brain dynamics during visually guided locomotion, we developed a method of removing motion artifacts from mobile electroencephalography (EEG) and studied human subjects walking and running over...
5.
Poirier C, Gadfort P, Dixon A, Nonte M, Conroy J, Hairston W
Annu Int Conf IEEE Eng Med Biol Soc
. 2018 Nov;
2018:3294-3297.
PMID: 30441094
Collecting EEG involves digitizing a very small signal across a vast potential dynamic range, particularly within real-world neuroimaging conditions, where noise can be especially prominent. Conventional methods require highresolution, power-hungry...
6.
Nordin A, Hairston W, Ferris D
J Neural Eng
. 2018 Aug;
15(5):056024.
PMID: 30074489
Objective: Our purpose was to evaluate the ability of a dual electrode approach to remove motion artifact from electroencephalography (EEG) measurements. Approach: We used a phantom human head model and...
7.
Symeonidou E, Nordin A, Hairston W, Ferris D
Sensors (Basel)
. 2018 Apr;
18(4).
PMID: 29614020
More neuroscience researchers are using scalp electroencephalography (EEG) to measure electrocortical dynamics during human locomotion and other types of movement. Motion artifacts corrupt the EEG and mask underlying neural signals...
8.
Slipher G, Hairston W, Bradford J, Bain E, Mrozek R
PLoS One
. 2018 Feb;
13(2):e0189415.
PMID: 29408942
Soft and pliable conductive polymer composites hold promise for application as bioelectronic interfaces such as for electroencephalography (EEG). In clinical, laboratory, and real-world EEG there is a desire for dry,...
9.
Robbins K, Su K, Hairston W
Data Brief
. 2017 Dec;
16:227-230.
PMID: 29226211
This data note describes an 18-subject EEG (electroencephalogram) data collection from an experiment in which subjects performed a standard visual oddball task. Several research projects have used this data to...
10.
Su K, Hairston W, Robbins K
J Neurosci Methods
. 2017 Oct;
293:359-374.
PMID: 29061343
Background: In controlled laboratory EEG experiments, researchers carefully mark events and analyze subject responses time-locked to these events. Unfortunately, such markers may not be available or may come with poor...