Items where Author is "Chowdhury, Anirban"
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Kundu, Saran and Tomar, Aman Singh and Chowdhury, Anirban and Thakur, Gargi and Tomar, Aruna (2024) Advancements in Temporal Fusion: A New Horizon for EEG Based Motor Imagery Classification. IEEE Transactions on Medical Robotics and Bionics, 6 (2). pp. 567-576. DOI https://doi.org/10.1109/TMRB.2024.3387092
Khanna, Sunreet and Chowdhury, Anirban and Dutta, Ashish and Subramanian, Venkatesh K (2024) SCSP-3: A Spectrally Augmented Common Spatial Pattern Approach for Robust Motor Imagery-based Brain-Computer Interface. IEEE Sensors Journal, 24 (5). pp. 6634-6642. DOI https://doi.org/10.1109/JSEN.2024.3351880
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
Saideepthi,, Pabba and Gaur, Pramod and Chowdhury, Anirban and Pachori, Ram Bilas (2023) Sliding Window along with EEGNet based Prediction of EEG Motor Imagery. IEEE Sensors Journal, 23 (15). pp. 17703-17713. DOI https://doi.org/10.1109/JSEN.2023.3270281
Gaur, Pramod and Chowdhury, Anirban and McCreadie, Karl and Pachori, Ram Bilas and Wang, Hui (2022) Logistic Regression with Tangent Space based Cross-Subject Learning for Enhancing Motor Imagery Classification. IEEE Transactions on Cognitive and Developmental Systems, 14 (3). pp. 1188-1197. DOI https://doi.org/10.1109/TCDS.2021.3099988
Chowdhury, Anirban and Andreu-Perez, Javier (2021) Clinical Brain-Computer Interface Challenge 2020 (CBCIC at WCCI2020): Overview, methods and results. IEEE Transactions on Medical Robotics and Bionics, 3 (3). pp. 661-670. DOI https://doi.org/10.1109/TMRB.2021.3098108
Gaur, Pramod and Gupta, Harsh and Chowdhury, Anirban and McCreadie, Karl and Pachori, Ram Bilas and Wang, Hui (2021) A Sliding Window Common Spatial Pattern for Enhancing Motor Imagery Classification in EEG-BCI. IEEE Transactions on Instrumentation and Measurement, 70. pp. 1-9. DOI https://doi.org/10.1109/TIM.2021.3051996
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
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
Conference or Workshop Item
Kundu, Saran and Saha, Parikshit and Tomar, Aman Singh and Chowdhury, Anirban (2024) Acceleration of EEG signal processing on FPGA: A Step Towards Embedded BCI. In: IEEE International Conference on Omni-Layer Intelligent Systems, 2024-07-29 - 2024-07-31, London.
Azizinezhad, Parastoo and Ghonchi, Hamidreza and Chowdhury, Anirban (2024) Pupil Diameter Classification using Machine Learning During Human-Computer Interaction. In: IEEE International Conference on Omni-Layer Intelligent Systems, 2024-07-29 - 2024-07-31, London. (In Press)
Sudhakar, Abhinav and Chowdhury, Anirban (2023) 3D localization of objects of daily living activities for rehabilitation applications. In: Advances in Robotics 2023, 2023-07-05 - 2023-07-08, Ropar, India.
Raza, Haider and Chowdhury, Anirban and Bhattacharyya, Saugat (2020) Deep Learning based Prediction of EEG Motor Imagery of Stroke Patients' for Neuro-Rehabilitation Application. In: International Joint Conference on Neural Networks (IJCNN 2020), 2020-07-19 - 2020-07-24, Glasgow, UK. (In Press)
Raza, Haider and Chowdhury, Anirban and Bhattacharyya, Saugat and Samothrakis, Spyros (2020) Single-Trial EEG Classification with EEGNet and Neural Structured Learning for Improving BCI Performance. In: International Joint Conference on Neural Networks (IJCNN 2020), 2020-07-19 - 2020-07-24, Glasgow. (In Press)