| pyEDA: An open-source python toolkit for pre-processing and feature extraction of electrodermal activity SAH Aqajari, EK Naeini, MA Mehrabadi, S Labbaf, N Dutt, AM Rahmani Procedia Computer Science 184, 99-106, 2021 | 100* | 2021 |
| A Real-time PPG Quality Assessment Approach for Healthcare Internet-of-Things EK Naeini, I Azimi, AM Rahmani, P Liljeberg, N Dutt Procedia Computer Science 151 (C), 2019 | 87 | 2019 |
| Robust ECG R-peak detection using LSTM J Laitala, M Jiang, E Syrjälä, EK Naeini, A Airola, AM Rahmani, ND Dutt, ... Proceedings of the 35th Annual ACM Symposium on Applied Computing, 1104-1111, 2020 | 65 | 2020 |
| Pain assessment tool with electrodermal activity for postoperative patients: method validation study SAH Aqajari, R Cao, E Kasaeyan Naeini, MD Calderon, K Zheng, N Dutt, ... JMIR mHealth and uHealth 9 (5), e25258, 2021 | 54 | 2021 |
| P2E-WGAN: ECG waveform synthesis from PPG with conditional wasserstein generative adversarial networks K Vo, EK Naeini, A Naderi, D Jilani, AM Rahmani, N Dutt, H Cao Proceedings of the 36th Annual ACM Symposium on Applied Computing, 1030-1036, 2021 | 33 | 2021 |
| An Edge-Assisted and Smart System for Real-Time Pain Monitoring EK Naeini, S Shahhosseini, A Subramanian, T Yin, AM Rahmani, N Dutt 2019 IEEE/ACM International Conference on Connected Health: Applications …, 2019 | 33 | 2019 |
| Pain recognition with electrocardiographic features in postoperative patients: method validation study E Kasaeyan Naeini, A Subramanian, MD Calderon, K Zheng, N Dutt, ... Journal of Medical Internet Research 23 (5), e25079, 2021 | 30 | 2021 |
| Objective Pain Assessment Using Wrist-based PPG Signals: A Respiratory Rate Based Method R Cao, SAH Aqajari, EK Naeini, AM Rahmani 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 15 | 2021 |
| Prospective Study Evaluating a Pain Assessment Tool in a Postoperative Environment: Protocol for Algorithm Testing and Enhancement EK Naeini, M Jiang, E Syrjälä, MD Calderon, R Mieronkoski, K Zheng, ... JMIR Research Protocols 9 (7), e17783, 2020 | 13 | 2020 |
| AMSER: Adaptive Multimodal Sensing for Energy Efficient and Resilient eHealth Systems EK Naeini, S Shahhosseini, A Kanduri, P Liljeberg, AM Rahmani, N Dutt 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2022 | 7 | 2022 |
| A Deep Learning–based PPG Quality Assessment Approach for Heart Rate and Heart Rate Variability EK Naeini, F Sarhaddi, I Azimi, P Liljeberg, N Dutt, AM Rahmani ACM Transactions on Computing for Healthcare 4 (4), 1-22, 2023 | 5 | 2023 |
| Flexible and personalized learning for wearable health applications using hyperdimensional computing S Shahhosseini, Y Ni, E Kasaeyan Naeini, M Imani, AM Rahmani, N Dutt Proceedings of the Great Lakes Symposium on VLSI 2022, 357-360, 2022 | 4 | 2022 |
| Edge-centric Optimization of Multi-modal ML-driven eHealth Applications A Kanduri, S Shahhosseini, EK Naeini, H Alikhani, P Liljeberg, N Dutt, ... Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use …, 2023 | 3 | 2023 |
| Pain assessment method and apparatus for patients unable to self-report pain AM Rahmani, N Dutt, K Zheng, A Nelson, P Liljeberg, S Salantera, ... US Patent App. 17/669,984, 2022 | 3 | 2022 |
| Towards Smart and Efficient Health Monitoring Using Edge-enabled Situational-awareness S Shahhosseini, A Kanduri, MA Mehrabadi, EK Naeini, DJ Seo, SS Lim, ... 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 | 3 | 2021 |
| Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing S Shahhosseini, Y Ni, H Alikhani, EK Naeini, M Imani, N Dutt, ... arXiv preprint arXiv:2208.01095, 2022 | | 2022 |
| An End-to-End Platform for Multi-Modal Machine Learning Affective Computing Services E Kasaeyan Naeini UC Irvine, 2022 | | 2022 |
| SERP: Smart Edge-Assisted System for Real-Time Pain Monitoring E Kasaeyan Naeini UC Irvine, 2020 | | 2020 |
Amir M. RahmaniProfessor, Nursing, Computer Science & EECS, University of California, Irvine在 uci.edu 的电子邮件经过验证
