Akshay Sujatha Ravindran

Author

Also Known As

Akshay Ravindran, Akshay S Ravindran, Akshay S. Ravindran, Akshay Sujatha Ravindran, Akshay Sujatha-Ravindran, Vishnubhotla, Ramana V

Publications

265

Citations

H-Index

Concepts

All Affiliations

University of Houston Interface (United States)Memorial Hermann Institute for Rehabilitation and Research Foundation

About

Akshay Sujatha Ravindran is an author at University of Houston specializing in wearable technology, engineering, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	2	2	31
2	Medicine	2	2	25
3	Health Sciences	1	1	11
4	Social Sciences	1	1	17
5	Biostatistics	1	1	14

Akshay Sujatha Ravindran

Publications

203

Citations

H-Index

Page 1

	Year	Citations
An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding Sho Nakagome, Trieu Phat Luu, Yongtian He, Scientific Reports	2020	84
Assaying neural activity of children during video game play in public spaces: a deep learning approach Akshay Sujatha Ravindran, Aryan Mobiny, Jesús G. Cruz-Garza, Journal of Neural Engineering	2019	31
Characterization of the Stages of Creative Writing With Mobile EEG Using Generalized Partial Directed Coherence Jesús G. Cruz-Garza, Akshay Sujatha Ravindran, Anastasiya E. Kopteva, Frontiers in Human Neuroscience	2020	22
Emotion Recognition by Point Process Characterization of Heartbeat Dynamics Akshay Sujatha Ravindran, Sho Nakagome, Dilranjan S. Wickramasuriya, EngineeringBiometricsAffective NeuroscienceWearable TechnologySocial Sciences	2019	17
Interpretable Deep Learning Models for Single Trial Prediction of Balance Loss Akshay Sujatha Ravindran, Manuel Cestari, Christopher A. Malaya, EngineeringMachine LearningWearable TechnologyMotor ControlMovement Analysis	2020	14
Decoding neural activity preceding balance loss during standing with a lower-limb exoskeleton using an interpretable deep learning model Akshay Sujatha Ravindran, Christopher A. Malaya, Isaac John, Journal of Neural Engineering	2022	13
A Roadmap Towards Standards for Neurally Controlled End Effectors Andrew Paek, Justin Brantley, Akshay Sujatha Ravindran, IEEE Open Journal of Engineering in Medicine and Biology Bmi SystemsNeural RecodingWearable TechnologyMotor ControlRoadmap Towards Standards	2021	11
Multi-Output Sequential Deep Learning Model for Athlete Force Prediction on a Treadmill Using 3D Markers Milton O. Candela-Leal, Erick Adrián Gutiérrez-Flores, Gerardo Presbítero-Espinosa, Applied Sciences	2022	11

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