| Online Obstructive Sleep Apnea Detection on Medical Wearable Sensors G Surrel, A Aminifar, F Rincon, S Murali, D Atienza IEEE Transactions on Biomedical Circuits and Systems (TBioCAS), 2018 | 172 | 2018 |
| e-Glass: A Wearable System for Real-Time Detection of Epileptic Seizures D Sopic, A Aminifar, D Atienza Advances in Sensing and Embedded Computing for Personalised Wireless …, 2018 | 137 | 2018 |
| Personalized real-time federated learning for epileptic seizure detection S Baghersalimi, T Teijeiro, D Atienza, A Aminifar IEEE journal of biomedical and health informatics 26 (2), 898-909, 2022 | 125 | 2022 |
| Real-time event-driven classification technique for early detection and prevention of myocardial infarction on wearable systems D Sopic, A Aminifar, A Aminifar, D Atienza IEEE transactions on biomedical circuits and systems 12 (5), 982-992, 2018 | 121 | 2018 |
| Schedulability analysis of Ethernet AVB switches UD Bordoloi, A Aminifar, P Eles, Z Peng 2014 IEEE 20th International Conference on Embedded and Real-Time Computing …, 2014 | 90 | 2014 |
| Stability-Aware Integrated Routing and Scheduling for Control Applications in Ethernet Networks R Mahfouzi, A Aminifar, S Samii, A Rezine, P Eles, Z Peng Proceedings of the conference on Design, Automation & Test in Europe (DATE), 2018 | 88 | 2018 |
| EpilepsyGAN: Synthetic Epileptic Brain Activities with Privacy Preservation D Pascual, A Amirshahi, A Aminifar, D Atienza, P Ryvlin, R Wattenhofer IEEE Transactions on Biomedical Engineering (TBME), 2020 | 83 | 2020 |
| Multi-modal acute stress recognition using off-the-shelf wearable devices V Montesinos, F Dell’Agnola, A Arza, A Aminifar, D Atienza 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 76 | 2019 |
| Resource-aware distributed epilepsy monitoring using self-awareness from edge to cloud F Forooghifar, A Aminifar, D Atienza IEEE transactions on biomedical circuits and systems 13 (6), 1338-1350, 2019 | 69 | 2019 |
| Real-time EEG-based cognitive workload monitoring on wearable devices R Zanetti, A Arza, A Aminifar, D Atienza IEEE transactions on biomedical engineering 69 (1), 265-277, 2021 | 67 | 2021 |
| A self-aware epilepsy monitoring system for real-time epileptic seizure detection F Forooghifar, A Aminifar, L Cammoun, I Wisniewski, C Ciumas, P Ryvlin, ... Mobile Networks and Applications 27 (2), 677-690, 2022 | 63 | 2022 |
| Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems A Aminifar, M Shokri, A Aminifar Future Generation Computer Systems, 2024 | 50 | 2024 |
| Control-quality driven design of cyber-physical systems with robustness guarantees A Aminifar, P Eles, Z Peng, A Cervin 2013 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2013 | 49 | 2013 |
| Real-time classification technique for early detection and prevention of myocardial infarction on wearable devices D Sopic, A Aminifar, A Aminifar, D Atienza 2017 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2017 | 46 | 2017 |
| Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems S Baghersalimi, A Amirshahi, T Teijeiro, A Aminifar, D Atienza Alonso IEEE Transactions on Mobile Computing, 2024 | 45 | 2024 |
| Robust epileptic seizure detection on wearable systems with reduced false-alarm rate R Zanetti, A Aminifar, D Atienza 2020 42nd annual international conference of the IEEE engineering in …, 2020 | 45 | 2020 |
| Self-Aware Wearable Systems in Epileptic Seizure Detection F Forooghifar, A Aminifar, D Atienza Advanced Systems for Health, Wellness and Personal Assistance, Euromicro …, 2018 | 44 | 2018 |
| Designing high-quality embedded control systems with guaranteed stability A Aminifar, S Samii, P Eles, Z Peng, A Cervin 2012 IEEE 33rd Real-Time Systems Symposium, 283-292, 2012 | 41 | 2012 |
| Security-aware routing and scheduling for control applications on Ethernet TSN networks R Mahfouzi, A Aminifar, S Samii, P Eles, Z Peng ACM Transactions on Design Automation of Electronic Systems (TODAES) 25 (1 …, 2019 | 32 | 2019 |
| Synthetic Epileptic Brain Activities Using Generative Adversarial Networks D Pascual, A Aminifar, D Atienza, P Ryvlin, R Wattenhofer Machine Learning for Health (ML4H) at Conference on Neural Information …, 2019 | 32* | 2019 |
David AtienzaProfessor of Electrical and Computer Engineering, EPFLVerified email at epfl.ch
