| An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding S Nakagome, TP Luu, Y He, AS Ravindran, JL Contreras-Vidal Scientific reports 10 (1), 4372, 2020 | 71 | 2020 |
| Emotion recognition by point process characterization of heartbeat dynamics AS Ravindran, S Nakagome, DS Wickramasuriya, JL Contreras-Vidal, ... 2019 IEEE Healthcare Innovations and Point of Care Technologies,(HI-POCT), 13-16, 2019 | 17 | 2019 |
| Assaying neural activity of children during video game play in public spaces: a deep learning approach AS Ravindran, A Mobiny, JG Cruz-Garza, A Paek, A Kopteva, JLC Vidal Journal of neural engineering 16 (3), 036028, 2019 | 17 | 2019 |
| Characterization of the stages of creative writing with mobile EEG using generalized partial directed coherence JG Cruz-Garza, A Sujatha Ravindran, AE Kopteva, C Rivera Garza, ... Frontiers in human neuroscience 14, 577651, 2020 | 12 | 2020 |
| A roadmap towards standards for neurally controlled end effectors AY Paek, JA Brantley, AS Ravindran, K Nathan, Y He, D Eguren, ... IEEE open journal of engineering in medicine and biology 2, 84-90, 2021 | 10 | 2021 |
| Deep learning methods for EEG neural classification S Nakagome, A Craik, A Sujatha Ravindran, Y He, JG Cruz-Garza, ... Handbook of Neuroengineering, 1-39, 2022 | 9 | 2022 |
| Interpretable deep learning models for single trial prediction of balance loss AS Ravindran, M Cestari, C Malaya, I John, GE Francisco, C Layne, ... 2020 IEEE international conference on systems, man, and cybernetics (SMC …, 2020 | 9 | 2020 |
| A wrist worn SpO2 monitor with custom finger probe for motion artifact removal SP Preejith, AS Ravindran, R Hajare, J Joseph, M Sivaprakasam 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 8 | 2016 |
| Decoding neural activity preceding balance loss during standing with a lower-limb exoskeleton using an interpretable deep learning model AS Ravindran, CA Malaya, I John, GE Francisco, C Layne, ... Journal of neural engineering 19 (3), 036015, 2022 | 7 | 2022 |
| Multi-output sequential deep learning model for athlete force prediction on a treadmill using 3d markers MO Candela-Leal, EA Gutiérrez-Flores, G Presbítero-Espinosa, ... Applied Sciences 12 (11), 5424, 2022 | 6 | 2022 |
| Distinct kinematic and neuromuscular activation strategies during quiet stance and in response to postural perturbations in healthy individuals fitted with and without a lower … CS Layne, CA Malaya, AS Ravindran, I John, GE Francisco, ... Frontiers in Human Neuroscience 16, 942551, 2022 | 5 | 2022 |
| An empirical comparison of deep learning explainability approaches for EEG using simulated ground truth A Sujatha Ravindran, J Contreras-Vidal Scientific Reports 13 (1), 17709, 2023 | 1 | 2023 |
| DEVELOPING EXPLAINABLE DEEP LEARNING MODELS USING EEG FOR BRAIN MACHINE INTERFACE SYSTEMS AS Ravindran University of Houston, 2021 | | 2021 |
| Developing Explainable Deep Learning Models Using EEG for Brain Machine Interface Systems A Sujatha Ravindran | | 2021 |
| Assaying neural patterns using scalp electroencephalography from children in a naturally engaging unconstrained video game playing experience A Mobiny, AS Ravindran, JG Cruz-Garza, A Paek, A Kopteva, S Eshaghi, ... | | |
Jose L Contreras-Vidal, PhDCullen Prof., Electrical and Computer Engineering; Director, IUCRC BRAIN @ University of HoustonVerified email at uh.edu
