Publications

A Roadmap towards Standards for Neurally Controlled End Effectors

Published in IEEE open journal of engineering in medicine and biology, 2021

Recommended citation: Paek, A. Y., Brantley, J. A., Ravindran, A. S., Nathan, K., He, Y., Eguren, D., ... & Contreras-Vidal, J. L. (2021). A Roadmap towards Standards for Neurally Controlled End Effectors. IEEE open journal of engineering in medicine and biology, 2.

Interpretable Deep Learning Models for Single Trial Prediction of Balance Loss

Published in 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020

Recommended citation: Ravindran, A. S., Cestari, M., Malaya, C., John, I., Francisco, G. E., Layne, C., & Vidal, J. L. C. (2020, October). Interpretable Deep Learning Models for Single Trial Prediction of Balance Loss. In 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (pp. 268-273). IEEE.

Emotion Recognition by Point Process Characterization of Heartbeat Dynamics

Published in 2019 IEEE Healthcare Innovations and Point of Care Technologies, (HI-POCT), 2019

Recommended citation: Ravindran, A. S., Nakagome, S., Wickramasuriya, D. S., Contreras-Vidal, J. L., & Faghih, R. T. (2019, November). Emotion recognition by point process characterization of heartbeat dynamics. In 2019 IEEE Healthcare Innovations and Point of Care Technologies,(HI-POCT) (pp. 13-16). IEEE.

A Wrist Worn SpO2 Monitor with Custom Finger Probe for Motion Artifact Removal

Published in Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016

Recommended citation: Preejith, S. P., Ravindran, A. S., Hajare, R., Joseph, J., & Sivaprakasam, M. (2016, August). A wrist worn SpO 2 monitor with custom finger probe for motion artifact removal. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 5777-5780). IEEE.

Book Chapter: Deep learning methods for EEG neural classification

Published in Springer Publication, 2010

Recommended citation: Nakagome S, Craik A, Ravindran AS, He Y, Cruz‐Garza JG, and Contreras‐Vidal JL. Springer Handbook of Neuroengineering. In: ed. by Thakor NV. Springer Nature. Chap. Deep learning methods for EEG neural classification. In Press