| Sleep quality prediction from wearable data using deep learning A Sathyanarayana, S Joty, L Fernandez-Luque, F Ofli, J Srivastava, ... JMIR mHealth and uHealth 4 (4), e6562, 2016 | 294 | 2016 |
| Benchmark on a large cohort for sleep-wake classification with machine learning techniques J Palotti, R Mall, M Aupetit, M Rueschman, M Singh, A Sathyanarayana, ... NPJ digital medicine 2 (1), 50, 2019 | 96 | 2019 |
| Impact of physical activity on sleep: A deep learning based exploration A Sathyanarayana, S Joty, L Fernandez-Luque, F Ofli, J Srivastava, ... arXiv preprint arXiv:1607.07034, 2016 | 42 | 2016 |
| The science of sweet dreams: predicting sleep efficiency from wearable device data A Sathyanarayana, J Srivastava, L Fernandez-Luque Computer 50 (3), 30-38, 2017 | 34 | 2017 |
| Robust automated human activity recognition and its application to sleep research A Sathyanarayana, F Ofli, L Fernandez-Luque, J Srivastava, ... 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016 | 22 | 2016 |
| Nonlinear Analysis of Visually Normal EEGs to Differentiate Benign Childhood Epilepsy with Centrotemporal Spikes A Sathyanarayana, R El Atrache, M Jackson, AS Alter, KD Mandl, ... Scientific Reports 10 (1), 1-12, 2020 | 17* | 2020 |
| Dynamic activity recommendation system J Srivastava, A Sathyanarayana US Patent App. 16/556,647, 2020 | 9 | 2020 |
| Measuring the effects of sleep on epileptogenicity with multifrequency entropy A Sathyanarayana, R El Atrache, M Jackson, AS Alter, KD Mandl, ... Clinical Neurophysiology 132 (9), 2012-2018, 2021 | 7 | 2021 |
| Topological Data Analysis of Electroencephalogram Signals for Pediatric Obstructive Sleep Apnea S Manjunath, JA Perea, A Sathyanarayana 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | 4 | 2023 |
| Measuring real-time medication effects from electroencephalography A Sathyanarayana, R El Atrache, M Jackson, S Cantley, L Reece, ... Journal of Clinical Neurophysiology, 10.1097, 2022 | 3 | 2022 |
| Investigating social interaction patterns with depression severity across different personality traits using digital phenotyping OB Amin, V Mishra, A Sathyanarayana 2023 11th International Conference on Affective Computing and Intelligent …, 2023 | 2 | 2023 |
| Computational sleep science: Machine learning for the detection, diagnosis, and treatment of sleep problems from wearable device data A Sathyanarayana University of Minnesota, 2017 | 2 | 2017 |
| Clinical decision making: A framework for predicting rx response A Sathyanarayana, J Pathak, R McCoy, S Romero-Brufau, M Panaziahar, ... 2014 IEEE International Conference on Data Mining Workshop, 1185-1188, 2014 | 2 | 2014 |
| Detection of Sleep Oxygen Desaturations from Electroencephalogram Signals S Manjunath, A Sathyanarayana arXiv preprint arXiv:2405.09566, 2024 | 1 | 2024 |
| Machine learning assisted satellite based positioning BA Werner, BM Ledvina, DP Hilgenberg, A Sathyanarayana US Patent 11,604,287, 2023 | 1 | 2023 |
| Sleep Staging from Airflow Signals Using Fourier Approximations of Persistence Curves S Manjunath, HT Wu, A Sathyanarayana arXiv preprint arXiv:2411.07964, 2024 | | 2024 |
| Machine learning assisted satellite based positioning BA Werner, BM Ledvina, DP Hilgenberg, A Sathyanarayana US Patent 12,000,938, 2024 | | 2024 |
| 0316 Real-time Detection of Oxygen Desaturation Using Electroencephalogram Signals S Manjunath, A Sathyanarayana Sleep 47 (Supplement_1), A136-A136, 2024 | | 2024 |
| Modeling Messaging Metadata to Identify Digital Disagreements among Non-incarcerated Adolescents in the Juvenile Justice System H Pandey, C Rizzo, C Collibee, A Sathyanarayana 2023 11th International Conference on Affective Computing and Intelligent …, 2023 | | 2023 |
| Exploring Sleep Disturbance in Central Nervous System Disorders National Academies of Sciences, Engineering, and Medicine | | 2023 |