Influence of Video Dynamics on EEG-based Single-Trial Video Target Surveillance System

Authors: Kwak, Heon-Gyu, Kim, Sung-Jin, Han, Hyeon-Taek, Jeong, Ji-Hoon

Source: 2024 12th International Winter Conference on Brain-Computer Interface (BCI) Brain-Computer Interface (BCI), 2024 12th International Winter Conference on. :1-5 Feb, 2024

Relation: 2024 12th International Winter Conference on Brain-Computer Interface (BCI)

Protocol design and testing to investigate Motor Imagery training using cues in different mediums: A pilot study

Authors: Baberwal, Sonal Santosh, Magre, Luz Alejandra, Gunawardhana, K. R. Sanjaya D., Ward, Tomas, Coyle, Shirley

Source: 2023 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) Electrical Engineering, Computing Science and Automatic Control (CCE), 2023 20th International Conference on. :1-6 Oct, 2023

Relation: 2023 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)

Research on extraction and classification of EEG features for multi-class motor imagery

Authors: Tang, Xuebin, Zhao, Jinchuang, Fu, Wenli

Source: 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2019 IEEE 4th. :693-697 Dec, 2019

Relation: 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

EEG Classification and Short-Term Epilepsy Prognosis Using Brain Computer Interface Software

Authors: Tzallas, Alexandros T., Giannakeas, Nikolaos, Zoulis, Kostantinos N., Tsipouras, Markos G., Glavas, Euripidis, Tzimourta, Katerina D., Astrakas, Loukas G., Konitsiotis, Spyridon

Source: 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS) CBMS Computer-Based Medical Systems (CBMS), 2017 IEEE 30th International Symposium on. :349-353 Jun, 2017

Relation: 2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)

A QR decomposition based RLS algorithm with forgetting factor for adaptation of AR EEG features

Authors: Iqbal, Hira, Aqil, Muhammad

Source: 2016 International Conference on Emerging Technologies (ICET) Emerging Technologies (ICET), 2016 International Conference on. :1-5 Oct, 2016

Relation: 2016 International Conference on Emerging Technologies (ICET)

Domain knowledge-assisted multi-objective evolutionary algorithm for channel selection in brain-computer interface systems

Authors: Tianyu Liu, An Ye

Source: Frontiers in Neuroscience, Vol 17 (2023)

Subject Terms: channel selection, brain-computer interface systems, multi-objective optimization, two-objective problem model, domain knowledge, Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fnins.2023.1251968/full; https://doaj.org/toc/1662-453X

Access URL: https://doaj.org/article/36b1d1d53e3144b0937a259c6bee9fbe

Application of brain-computer interface system in communication of people with severe motor deficits

Authors: Jovanović-Simić Nadica Đ., Arsenić Ivana P., Daničić Zorica R.

Source: Specijalna Edukacija i Rehabilitacija, Vol 21, Iss 1, Pp 51-65 (2022)

Subject Terms: assistive technology, brain-computer interface systems, motor deficits, Special aspects of education, LC8-6691

File Description: electronic resource

Relation: https://scindeks-clanci.ceon.rs/data/pdf/1452-7367/2022/1452-73672201051J.pdf; https://doaj.org/toc/1452-7367; https://doaj.org/toc/2406-1328

Access URL: https://doaj.org/article/d258bd31be7b4e9ab8e89d65af7ee5a0

Advanced Modeling and Signal Processing Methods in Brain–Computer Interfaces Based on a Vector of Cyclic Rhythmically Connected Random Processes

Authors: Serhii Lupenko, Roman Butsiy, Nataliya Shakhovska

Source: Sensors, Vol 23, Iss 2, p 760 (2023)

Subject Terms: brain–computer interface systems, electroencephalographic signals, vector of cyclic rhythmically connected random processes, compatible statistical analysis, Chemical technology, TP1-1185

File Description: electronic resource

Relation: https://www.mdpi.com/1424-8220/23/2/760; https://doaj.org/toc/1424-8220

Access URL: https://doaj.org/article/d0cd8d986e5c4ec5a65def4e3ff04079

Using brain connectivity metrics from synchrostates to perform motor imagery classification in EEG-based BCI systems

Authors: Lorena Santamaria, Christopher James

Source: Healthcare Technology Letters (2018)

Subject Terms: electroencephalography, cognition, brain-computer interfaces, medical signal processing, feature extraction, synchronisation, signal classification, neurophysiology, graph theory, learning (artificial intelligence), brain connectivity metrics, motor imagery classification, EEG-based BCI systems, neural groups, brain cognition, phase-synchronisation patterns, electroencephalogram signals, motor imagery tasks, schematic emotional faces, cognitive task, occurrence states, connectivity network, classihcation algorithms, supervised learning techniques, optimal feature subset, discrimination rates, MI tasks, online classification, brain-computer interface systems, Medical technology, R855-855.5

File Description: electronic resource

Relation: https://digital-library.theiet.org/content/journals/10.1049/htl.2017.0049; https://doaj.org/toc/2053-3713

Access URL: https://doaj.org/article/3103a247eb914c3bb8844d9abcea3ad5

Improving the Classifier Performance in Motor Imagery Task Classification: What are the steps in the classification process that we should worry about?

Authors: Miriam Seoane Santos, Pedro Henriques Abreu, Rodríguez-Bermúdez Germán, Pedro J. García-Laencina

Source: International Journal of Computational Intelligence Systems, Vol 11, Iss 1 (2018)

Subject Terms: Brain Computer Interface Systems, Motor Imagery Tasks, Pattern Recognition, Machine Learning, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://www.atlantis-press.com/article/25902766/view; https://doaj.org/toc/1875-6883

Access URL: https://doaj.org/article/7036dff403d04d2f8d0de51441593332

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