| IoT-Based Smart Edge for Global Health: Remote Monitoring With Severity Detection and Alerts Transmission RK Pathinarupothi, P Durga, ES Rangan IEEE Internet of Things Journal 6 (2), 2449-2462, 2018 | 206 | 2018 |
| Instantaneous heart rate as a robust feature for sleep apnea severity detection using deep learning RK Pathinarupothi, R Vinaykumar, E Rangan, E Gopalakrishnan, ... 2017 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2017 | 85 | 2017 |
| Single sensor techniques for sleep apnea diagnosis using deep learning RK Pathinarupothi, ES Rangan, EA Gopalakrishnan, R Vinaykumar, ... 2017 IEEE International Conference on Healthcare Informatics (ICHI), 524-529, 2017 | 80 | 2017 |
| Systems, methods, and devices for remote health monitoring and management MV Ramesh, RK Pathinarupothi, ES Rangan US Patent 10,542,889, 2020 | 50 | 2020 |
| A Low Cost Remote Cardiac Monitoring Framework for Rural Regions D N, R K, R Krishnan, MV Ramesh Proceedings of the 5th EAI International Conference on Wireless Mobile …, 2015 | 37* | 2015 |
| Achieving sustainability through smart city applications: protocols, systems and solutions using IoT and wireless sensor network MV Ramesh, R Prabha, H Thirugnanam, AR Devidas, D Raj, S Anand, ... CSIT 8 (2), 213-230, 2020 | 35 | 2020 |
| Systems, methods, and devices for remote health monitoring and management using internet of things sensors MV Ramesh, RK Pathinarupothi, ES Rangan, P Durga, PV Rangan US Patent 10,433,726, 2019 | 35 | 2019 |
| GeoBoids: A mobile AR application for exergaming RW Lindeman, G Lee, L Beattie, H Gamper, R Pathinarupothi, A Akhilesh 2012 IEEE International Symposium on Mixed and Augmented Reality-Arts, Media …, 2012 | 33 | 2012 |
| Multi-layer architectures for remote health monitoring RK Pathinarupothi, MV Ramesh, E Rangan 2016 IEEE 18th International Conference on e-Health Networking, Applications …, 2016 | 32 | 2016 |
| Leveraging context-awareness for Internet of Things ecosystem: Representation, organization, and management of context P Pradeep, S Krishnamoorthy, RK Pathinarupothi, AV Vasilakos Computer Communications 177, 33-50, 2021 | 23 | 2021 |
| A Real-Time Detection and Warning of Cardiovascular Disease LAHB for a Wearable Wireless ECG Device A Arunan, RK Pathinarupothi, MV Ramesh 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2016 | 19 | 2016 |
| Automatic Diagnostic Tool for Detection of Regional Wall Motion Abnormality from Echocardiogram G Sanjeevi, U Gopalakrishnan, RK Pathinarupothi, T Madathil Journal of Medical Systems 47 (1), 13, 2023 | 13 | 2023 |
| Heart Lung Health Monitor: Remote At-Home Patient Surveillance for Pandemic Management S Shaji, RK Pathinarupothi, ES Rangan, KAU Menon, MV Ramesh 2021 IEEE Global Humanitarian Technology Conference (GHTC), 127-130, 2021 | 13 | 2021 |
| Evaluation of predisposing factors of Diabetes Mellitus post Gestational Diabetes Mellitus using Machine Learning Techniques DR Krishnan, GP Menakath, A Radhakrishnan, Y Himavarshini, A Aparna, ... 2019 IEEE Student Conference on Research and Development (SCOReD), 81-85, 2019 | 12 | 2019 |
| Data to diagnosis in global health: a 3P approach RK Pathinarupothi, P Durga, ES Rangan BMC medical informatics and decision making 18, 1-13, 2018 | 12 | 2018 |
| Reliable collective cosigning to scale blockchain with strong consistency B Alangot, M Suresh, AS Raj, RK Pathinarupothi, K Achuthan Proceedings of the Network and Distributed System Security Symposium (DISS …, 2018 | 11 | 2018 |
| Consensus motifs as adaptive and efficient predictors for acute hypotensive episodes RK Pathinarupothi, ES Rangan Engineering in Medicine and Biology Society (EMBC), 2017 39th Annual …, 2017 | 10 | 2017 |
| Personalized diabetes monitoring platform leveraging IoMT and AI for non-invasive estimation D Padmavilochanan, RK Pathinarupothi, KAU Menon, H Kumar, ... Smart Health 30, 100428, 2023 | 9 | 2023 |
| Discovering Vital Trends For Personalized Healthcare Delivery P Rahul Krishnan, R Ekanath ACM International Joint Conference on Pervasive and Ubiquitous Computing …, 2016 | 9* | 2016 |
| Performance effectiveness of vital parameter combinations for early warning of sepsis—an exhaustive study using machine learning ES Rangan, RK Pathinarupothi, KJS Anand, MP Snyder JAMIA open 5 (4), ooac080, 2022 | 8 | 2022 |
Ekanath Srihari RanganStanford University School of MedicineVerified email at stanford.edu
