Items where Author is "Prasad, Girijesh"

Article

Youssofzadeh, Vahab and Roy, Sujit and Chowdhury, Anirban and Izadysadr, Aqil and Parkkonen, Lauri and Raghavan, Manoj and Prasad, Girijesh (2023) Mapping & decoding cortical engagement during motor imagery, mental arithmetic, and silent word generation using MEG. Human Brain Mapping, 44 (8). DOI https://doi.org/10.1002/hbm.26284

Raza, Haider and Rathee, Dheeraj and Roy, Sujit and Prasad, Girijesh (2021) A magnetoencephalography dataset for motor and cognitive imagery-based brain–computer interface. Scientific Data, 8 (1). 120-. DOI https://doi.org/10.1038/s41597-021-00899-7

Roy, Sujit and Rathee, Dheeraj and Chowdhury, Anirban and McCreadie, Karl and Prasad, Girijesh (2020) Assessing impact of channel selection on decoding of motor and cognitive imagery from MEG data. Journal of Neural Engineering, 17 (5). 056037-056037. DOI https://doi.org/10.1088/1741-2552/abbd21

Roy, Sujit and Chowdhury, Anirban and McCreadie, Karl and Prasad, Girijesh (2020) Deep Learning based Inter-subject Continuous Decoding of Motor Imagery for Practical Brain-Computer Interfaces. Frontiers in Neuroscience, 14. 918-. DOI https://doi.org/10.3389/fnins.2020.00918

Chowdhury, Anirban and Dutta, Ashish and Prasad, Girijesh (2020) Corticomuscular co-activation based hybrid brain-computer interface for motor recovery monitoring. IEEE Access, 8. pp. 174542-174557. DOI https://doi.org/10.1109/access.2020.3026037

Raza, Haider and Rathee, Dheeraj and Zhou, Shang-Ming and Cecotti, Hubert and Prasad, Girijesh (2019) Covariate shift estimation based adaptive ensemble learning for handling non-stationarity in motor imagery related EEG-based brain-computer interface. Neurocomputing, 343. pp. 154-166. DOI https://doi.org/10.1016/j.neucom.2018.04.087

Rathee, Dheeraj and Chowdhury, Anirban and Meena, Yogesh Kumar and Dutta, Ashish and McDonough, Suzanne and Prasad, Girijesh (2019) Brain–Machine Interface-Driven Post-Stroke Upper-Limb Functional Recovery Correlates With Beta-Band Mediated Cortical Networks. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27 (5). pp. 1020-1031. DOI https://doi.org/10.1109/tnsre.2019.2908125

Chowdhury, Anirban and Nishad, Shyam Sunder and Meena, Yogesh Kumar and Dutta, Ashish and Prasad, Girijesh (2019) Hand-Exoskeleton Assisted Progressive Neurorehabilitation Using Impedance Adaptation Based Challenge Level Adjustment Method. IEEE Transactions on Haptics, 12 (2). pp. 128-140. DOI https://doi.org/10.1109/toh.2018.2878232

Chowdhury, Anirban and Raza, Haider and Meena, Yogesh Kumar and Dutta, Ashish and Prasad, Girijesh (2019) An EEG-EMG Correlation-based Brain-Computer Interface for Hand Orthosis Supported Neuro-Rehabilitation. Journal of Neuroscience Methods, 312. pp. 1-11. DOI https://doi.org/10.1016/j.jneumeth.2018.11.010

Chowdhury, Anirban and Raza, Haider and Meena, Yogesh Kumar and Dutta, Ashish and Prasad, Girijesh (2018) Online Covariate Shift Detection based Adaptive Brain-Computer Interface to Trigger Hand Exoskeleton Feedback for Neuro-Rehabilitation. IEEE Transactions on Cognitive and Developmental Systems, 10 (4). pp. 1070-1080. DOI https://doi.org/10.1109/TCDS.2017.2787040

Chowdhury, Anirban and Meena, Yogesh Kumar and Raza, Haider and Bhushan, Braj and Uttam, Ashwani Kumar and Pandey, Nirmal and Hashmi, Adnan Ariz and Bajpai, Alok and Dutta, Ashish and Prasad, Girijesh (2018) Active Physical Practice Followed by Mental Practice Using BCI-Driven Hand Exoskeleton: A Pilot Trial for Clinical Effectiveness and Usability. IEEE Journal of Biomedical and Health Informatics, 22 (6). pp. 1786-1795. DOI https://doi.org/10.1109/JBHI.2018.2863212

Rathee, Dheeraj and Raza, Haider and Prasad, Girijesh and Cecotti, Hubert (2017) Current Source Density Estimation Enhances the Performance of Motor-Imagery-Related Brain–Computer Interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 25 (12). pp. 2461-2471. DOI https://doi.org/10.1109/TNSRE.2017.2726779

Raza, Haider and Prasad, Girijesh and Li, Yuhua (2015) EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments. Pattern Recognition, 48 (3). pp. 659-669. DOI https://doi.org/10.1016/j.patcog.2014.07.028