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Hits 1 – 20 of 545
1
Dynamic functional brain network connectivity during pseudoword processing relates to children’s reading skill
Panda, Erin J.
;
Valiante, Taufik A.
;
Pang, Elizabeth W.
. - : Elsevier, 2022
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2
Computational Models in Electroencephalography.
Glomb, Katharina
;
Cabral, Joana
;
Cattani, Anna
...
In: Brain topography, vol 35, iss 1 (2022)
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3
Functional Brain Networks and Verbal Fluency in Healthy Ageing ...
Oosterhuis, Elise
. - : Open Science Framework, 2022
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4
Unified Coding of Spectral and Temporal Phonetic Cues: Electrophysiological Evidence for Abstract Phonological Features ...
Monahan, Philip
. - : Open Science Framework, 2022
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5
A Preliminary Report of Network Electroencephalographic Measures in Primary Progressive Apraxia of Speech and Aphasia
Rene L. Utianski; Hugo Botha; John N. Caviness; Gregory A. Worrell; Joseph R. Duffy; Heather M. Clark; Jennifer L. Whitwell; Keith A. Josephs
In: Brain Sciences; Volume 12; Issue 3; Pages: 378 (2022)
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6
Spectral Entropy Monitoring Accelerates the Emergence from Sevoflurane Anesthesia in Thoracic Surgery: A Randomized Controlled Trial
Jui-Tai Chen; Yu-Ming Wu; Tung-Yu Tiong; Juan P. Cata; Kuang-Tai Kuo; Chun-Cheng Li; Hsin-Yi Liu; Yih-Giun Cherng; Hsiang-Ling Wu; Ying-Hsuan Tai
In: Journal of Clinical Medicine; Volume 11; Issue 6; Pages: 1631 (2022)
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7
Simultaneous Classification of Both Mental Workload and Stress Level Suitable for an Online Passive Brain–Computer Interface
Mahsa Bagheri; Sarah D. Power
In: Sensors; Volume 22; Issue 2; Pages: 535 (2022)
Abstract:
Research studies on EEG-based mental workload detection for a passive BCI generally focus on classifying cognitive states associated with the performance of tasks at different levels of difficulty, with no other aspects of the user’s mental state considered. However, in real-life situations, different aspects of the user’s state such as their cognitive (e.g., level of mental workload) and affective (e.g., level of stress/anxiety) states will often change simultaneously, and performance of a BCI system designed considering just one state may be unreliable. Moreover, multiple mental states may be relevant to the purposes of the BCI—for example both mental workload and stress level might be related to an aircraft pilot’s risk of error—and the simultaneous prediction of states may be critical in maximizing the practical effectiveness of real-life online BCI systems. In this study we investigated the feasibility of performing simultaneous classification of mental workload and stress level in an online passive BCI. We investigated both subject-specific and cross-subject classification approaches, the latter with and without the application of a transfer learning technique to align the distributions of data from the training and test subjects. Using cross-subject classification with transfer learning in a simulated online analysis, we obtained accuracies of 77.5 ± 6.9% and 84.1 ± 5.9%, across 18 participants for mental workload and stress level detection, respectively.
Keyword:
classification
;
electroencephalography (EEG)
;
mental workload
;
online BCI
;
passive brain–computer interface
;
stress
;
transfer learning
URL:
https://doi.org/10.3390/s22020535
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8
Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them Reproducible
Foteini Simistira Liwicki; Vibha Gupta; Rajkumar Saini; Kanjar De; Marcus Liwicki
In: NeuroSci; Volume 3; Issue 2; Pages: 226-244 (2022)
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9
Unified Coding of Spectral and Temporal Phonetic Cues: Electrophysiological Evidence for Abstract Phonological Features
Monahan, Philip J.
;
Schertz, Jessamyn
;
Fu, Zhanao
. - : University of Toronto, 2022
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10
A dimension reduction technique applied to regression on high dimension, low sample size neurophysiological data sets
Santana, Adrielle,
;
Barbosa, Adriano,
;
Yehia, Hani,
...
In: ISSN: 1471-2202 ; EISSN: 1471-2202 ; BMC Neuroscience ; https://hal.univ-grenoble-alpes.fr/hal-03374818 ; BMC Neuroscience, BioMed Central, 2021, 22 (1), ⟨10.1186/s12868-020-00605-0⟩ (2021)
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11
Somatosensory contribution to audio-visual speech processing
Ito, Takayuki
;
Ohashi, Hiroki
;
Gracco, Vincent
In: ISSN: 0010-9452 ; Cortex ; https://hal.archives-ouvertes.fr/hal-03320604 ; Cortex, Elsevier, 2021, 143, pp.195-204. ⟨10.1016/j.cortex.2021.07.013⟩ ; https://doi.org/10.1016/j.cortex.2021.07.013 (2021)
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12
An ERP index of real-time error correction within a noisy-channel framework of human communication.
Ryskin, Rachel
;
Stearns, Laura
;
Bergen, Leon
. - : eScholarship, University of California, 2021
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13
Good Scientific Practice in MEEG Research: Progress and Perspectives
Niso, Guiomar
;
Krol, Laurens
;
Combrisson, Etienne
...
In: https://hal.archives-ouvertes.fr/hal-03494100 ; 2021 (2021)
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14
Modality switch effects emerge early and increase throughout conceptual processing: Evidence from ERPs ...
Bernabeu, Pablo
. - : Open Science Framework, 2021
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15
Human processing of transmitted speech varying in perceived quality ... : Menschliche Verarbeitung von technisch übertragener Sprache in unterschiedlich wahrgenommener Qualität ...
Uhrig, Stefan Josef
. - : Technische Universität Berlin, 2021
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16
Sustained neural rhythms reveal endogenous oscillations supporting speech perception. ...
Van Bree, Sander
;
Sohoglu, Ediz
;
Davis, Matt
. - : Apollo - University of Cambridge Repository, 2021
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17
Application of Machine Learning to Electroencephalography for the Diagnosis of Primary Progressive Aphasia: A Pilot Study
Lucía Fernández-Romero
;
Adela Fraile-Pereda
;
Paloma Balugo
...
In: Brain Sciences ; Volume 11 ; Issue 10 (2021)
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18
Testing Low-Frequency Neural Activity in Sentence Understanding ...
Lo, Chia-Wen
. - : My University, 2021
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19
ВОЗДЕЙСТВИЕ ТЕХНОЛОГИЙ ВИРТУАЛЬНОЙ РЕАЛЬНОСТИ НА ПСИХОЭМОЦИОНАЛЬНОЕ СОСТОЯНИЕ ПАЦИЕНТОВ С АФАЗИЯМИ ... : The impact of virtual reality on the emotional state of patients with aphasia ...
Карпов, О.Э.
;
Даминов, В.Д.
;
Новак, Э.В.
. - : Фонд развития современных и цифровых технологий, 2021
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20
Testing Low-Frequency Neural Activity in Sentence Understanding
Lo, Chia-Wen
. - 2021
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