A study on the effect of Electrical Stimulation during motor imagery learning in Brain-computer interfacing

Augmenting Motor Imagery Learning for Brain–Computer Interfacing Using Electrical Stimulation as Feedback

IEEE Transactions on Medical Robotics and Bionics ◽

10.1109/tmrb.2019.2949854 ◽

2019 ◽

Vol 1 (4) ◽

pp. 247-255 ◽

Cited By ~ 3

Author(s):

Saugat Bhattacharyya ◽

Maureen Clerc ◽

Mitsuhiro Hayashibe

Keyword(s):

Electrical Stimulation ◽

Motor Imagery ◽

Functional connectivity analysis of motor imagery EEG signal for brain-computer interfacing application

2015 7th International IEEE/EMBS Conference on Neural Engineering (NER) ◽

10.1109/ner.2015.7146597 ◽

2015 ◽

Cited By ~ 6

Author(s):

Poulami Ghosh ◽

Ankita Mazumder ◽

Saugat Bhattacharyya ◽

D.N. Tibarewala ◽

Mitsuhiro Hayashibe

Keyword(s):

Functional Connectivity ◽

Motor Imagery ◽

Eeg Signal ◽

Connectivity Analysis ◽

Functional Connectivity Analysis ◽

Supervision of time-frequency features selection in EEG signals by a human expert for brain-computer interfacing based on motor imagery

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc.2016.7844348 ◽

2016 ◽

Cited By ~ 2

Author(s):

Alban Dupres ◽

Francois Cabestaing ◽

Jose Rouillard

Keyword(s):

Motor Imagery ◽

Features Selection ◽

Eeg Signals ◽

Human Expert ◽

Time Frequency ◽

Frequency Features ◽

Bispectrum-Based Channel Selection for Motor Imagery Based Brain-Computer Interfacing

IEEE Transactions on Neural Systems and Rehabilitation Engineering ◽

10.1109/tnsre.2020.3020975 ◽

2020 ◽

Vol 28 (10) ◽

pp. 2153-2163 ◽

Cited By ~ 3

Author(s):

Jing Jin ◽

Chang Liu ◽

Ian Daly ◽

Yangyang Miao ◽

Shurui Li ◽

...

Keyword(s):

Motor Imagery ◽

Channel Selection ◽

Selection For ◽

Performance of Brain–Computer Interfacing Based on Tactile Selective Sensation and Motor Imagery

IEEE Transactions on Neural Systems and Rehabilitation Engineering ◽

10.1109/tnsre.2017.2769686 ◽

2018 ◽

Vol 26 (1) ◽

pp. 60-68 ◽

Cited By ~ 2

Author(s):

Lin Yao ◽

Xinjun Sheng ◽

Natalie Mrachacz-Kersting ◽

Xiangyang Zhu ◽

Dario Farina ◽

...

Keyword(s):

Motor Imagery ◽

Motor Imagery for Severely Motor-Impaired Patients: Evidence for Brain-Computer Interfacing as Superior Control Solution

PLoS ONE ◽

10.1371/journal.pone.0104854 ◽

2014 ◽

Vol 9 (8) ◽

pp. e104854 ◽

Cited By ~ 50

Author(s):

Johannes Höhne ◽

Elisa Holz ◽

Pit Staiger-Sälzer ◽

Klaus-Robert Müller ◽

Andrea Kübler ◽

...

Keyword(s):

Motor Imagery ◽

Control Solution ◽

Robust Averaging of Covariance Matrices by Riemannian Geometry for Motor-Imagery Brain–Computer Interfacing

Advances in Cognitive Neurodynamics (V) - Advances in Cognitive Neurodynamics ◽

10.1007/978-981-10-0207-6_48 ◽

2016 ◽

pp. 347-353 ◽

Cited By ~ 10

Author(s):

Takashi Uehara ◽

Toshihisa Tanaka ◽

Simone Fiori

Keyword(s):

Motor Imagery ◽

Riemannian Geometry ◽

Covariance Matrices ◽

A simple generative model applied to motor-imagery brain-computer interfacing

2011 5th International IEEE/EMBS Conference on Neural Engineering ◽

10.1109/ner.2011.5910571 ◽

2011 ◽

Cited By ~ 2

Author(s):

Andrew Geronimo ◽

Steven J. Schiff ◽

Mst Kamrunnahar

Keyword(s):

Motor Imagery ◽

Generative Model ◽

Rhythmic component extraction considering phase alignment and the application to motor imagery-based brain computer interfacing

The 2010 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2010.5596476 ◽

2010 ◽

Cited By ~ 1

Author(s):

Hiroshi Higashi ◽

Toshihisa Tanaka ◽

Yasue Mitsukura

Keyword(s):

Motor Imagery ◽

Phase Alignment ◽

Component Extraction ◽

Model-Agnostic Meta-Learning for EEG Motor Imagery Decoding in Brain-Computer-Interfacing

2021 10th International IEEE/EMBS Conference on Neural Engineering (NER) ◽

10.1109/ner49283.2021.9441077 ◽

2021 ◽

Author(s):

Denghao Li ◽

Pablo Ortega ◽

Xiaoxi Wei ◽

Aldo Faisal

Keyword(s):

Motor Imagery ◽

Meta Learning ◽