electroencephalography (EEG) Archives - Transactions on Neural Systems and Rehabilitation Engineering (TNSRE)

July 21, 2021

Learning Invariant Patterns Based on a Convolutional Neural Network and Big Electroencephalography Data for Subject-Independent P300 Brain-Computer Interfaces

Author(s)3: Wei Gao, Tianyou Yu, Jin-Gang Yu, Zhenghui Gu, Kendi Li, Yong Huang, Yuanqing Li, Zhu Liang Yu

Learning Invariant Patterns Based on a Convolutional Neural Network and Big Electroencephalography Data for Subject-Independent P300 Brain-Computer Interfaces https://www.embs.org/tnsre/wp-content/uploads/sites/15/2021/07/Screen-Shot-2021-07-21-at-11.45.23-AM.png 540 430 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) //www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png July 21, 2021 March 4, 2022

A brain-computer interface (BCI) measures and analyzes brain activity and converts this activity into computer commands to control external devices. In contrast to traditional BCIs that require a subject-specific calibration…

January 30, 2020

Utilizing high-density electroencephalography and motion capture technology to characterize sensorimotor integration while performing complex actions

Author(s)3: Edward G. Freedman, John J. Foxe, Kevin A. Mazurek, Nicholas Abraham, David Richardson

Utilizing high-density electroencephalography and motion capture technology to characterize sensorimotor integration while performing complex actions https://www.embs.org/tnsre/wp-content/uploads/sites/15/2020/01/3.jpg 913 548 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) //www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png January 30, 2020 March 4, 2022

Studies of sensorimotor integration often use sensory stimuli that require a simple motor response, such as a reach or a grasp. Recent advances in neural recording techniques, motion capture technologies,…

November 30, 2016

Directed Functional Connectivity in Fronto-Centroparietal Circuit Correlates With Motor Adaptation in Gait Training

Author(s)3: Vahab Youssofzadeh, Damiano Zanotto, KongFatt Wong-Lin, Sunil K. Agrawal, Girijesh Prasad

Directed Functional Connectivity in Fronto-Centroparietal Circuit Correlates With Motor Adaptation in Gait Training https://www.embs.org/tnsre/wp-content/uploads/sites/15/2016/11/Directed-Functional-Connectivity.jpg 780 435 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) //www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png November 30, 2016 March 4, 2022

Lower-extremity robotic exoskeletons are used in gait rehabilitation to achieve functional motor recovery. To date, little is known about how gait training and post-training are characterized in brain signals and…

September 3, 2015

Using Actual and Imagined Walking Related Desynchronization Features in a BCI

Author(s)3: Marianne Severens, Monica Perusquia-Hernandez, Bart Nienhuis, Jason Farquhar, Jacques Duysens

Using Actual and Imagined Walking Related Desynchronization Features in a BCI https://www.embs.org/tnsre/wp-content/uploads/sites/15/2015/09/tnsre-farquhar-2371391.jpg 780 275 Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) Transactions on Neural Systems and Rehabilitation Engineering (TNSRE) //www.embs.org/tnsre/wp-content/uploads/sites/15/2022/06/ieee-tnsre-logo2x.png September 3, 2015 March 4, 2022

Recently, brain–computer interface (BCI) research has extended to investigate its possible use in motor rehabilitation. Most of these investigations have focused on the upper body. Only few studies consider gait…