Theresa M Vaughan
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Explore the profile of Theresa M Vaughan including associated specialties, affiliations and a list of published articles.
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21
Citations
1950
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Recent Articles
1.
Cernera S, Cernera S, Gemicioglu T, Berezutskaya J, Csaky R, Verwoert M, et al.
J Neural Eng
. 2025 Feb;
22(2).
PMID: 39914028
The Tenth International brain-computer interface (BCI) meeting was held June 6-9, 2023, in the Sonian Forest in Brussels, Belgium. At that meeting, 21 master classes, organized by the BCI Society's...
2.
Ziebell P, Modde A, Roland E, Eidel M, Vansteensel M, Mrachacz-Kersting N, et al.
J Neural Eng
. 2025 Jan;
22(1).
PMID: 39874652
Brain-computer interfaces (BCIs) can support non-muscular communication and device control for severely paralyzed people. However, efforts that directly involve potential or actual end-users and address their individual needs are scarce,...
3.
Vansteensel M, Klein E, van Thiel G, Gaytant M, Simmons Z, Wolpaw J, et al.
J Neurol
. 2022 Nov;
270(3):1323-1336.
PMID: 36450968
Individuals with amyotrophic lateral sclerosis (ALS) frequently develop speech and communication problems in the course of their disease. Currently available augmentative and alternative communication technologies do not present a solution...
4.
Habibzadeh H, Norton J, Vaughan T, Soyata T, Zois D
IEEE Trans Neural Syst Rehabil Eng
. 2021 Aug;
29:1766-1773.
PMID: 34428141
We present a dynamic window-length classifier for steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) that does not require the user to choose a feature extraction method or channel set....
5.
Vaughan T
Handb Clin Neurol
. 2020 Mar;
168:33-38.
PMID: 32164864
A brain-computer interface (BCI) records and extracts features from brain signals, and translates these features into commands that can replace, restore, enhance, supplement, or improve natural CNS outputs. As demonstrated...
6.
Wolpaw J, Bedlack R, Reda D, Ringer R, Banks P, Vaughan T, et al.
Neurology
. 2018 Jun;
91(3):e258-e267.
PMID: 29950436
Objective: To assess the reliability and usefulness of an EEG-based brain-computer interface (BCI) for patients with advanced amyotrophic lateral sclerosis (ALS) who used it independently at home for up to...
7.
Kubler A, Holz E, Sellers E, Vaughan T
Arch Phys Med Rehabil
. 2015 Feb;
96(3 Suppl):S27-32.
PMID: 25721544
Noninvasive brain-computer interfaces (BCIs) use scalp-recorded electrical activity from the brain to control an application. Over the past 20 years, research demonstrating that BCIs can provide communication and control to...
8.
McCane L, Heckman S, McFarland D, Townsend G, Mak J, Sellers E, et al.
Clin Neurophysiol
. 2015 Feb;
126(11):2124-31.
PMID: 25703940
Objective: Brain-computer interfaces (BCIs) aimed at restoring communication to people with severe neuromuscular disabilities often use event-related potentials (ERPs) in scalp-recorded EEG activity. Up to the present, most research and...
9.
Jeremy Hill N, Ricci E, Haider S, McCane L, Heckman S, Wolpaw J, et al.
J Neural Eng
. 2014 May;
11(3):035003.
PMID: 24838278
Objective: Previous work has shown that it is possible to build an EEG-based binary brain-computer interface system (BCI) driven purely by shifts of attention to auditory stimuli. However, previous studies...
10.
McCane L, Sellers E, McFarland D, Mak J, Carmack C, Zeitlin D, et al.
Amyotroph Lateral Scler Frontotemporal Degener
. 2014 Feb;
15(3-4):207-15.
PMID: 24555843
Brain-computer interfaces (BCIs) might restore communication to people severely disabled by amyotrophic lateral sclerosis (ALS) or other disorders. We sought to: 1) define a protocol for determining whether a person...