Iman Azimi
PhD
iman.azimi@utu.fi Vesilinnantie 5 Turku Office: 456 G ORCID identifier: https://orcid.org/0000-0001-5003-299X |
Digital Health,
Biomedical Engineering,
Artificial Intelligence,
Internet of Things,
Data Analytics,
Iman Azimi is a university lecturer and post-doctoral researcher at the Health Technology group, Department of Computing, University of Turku. He is also an artificial intelligence scientist at Silo, AI. Iman is currently pursuing his career in the computer science and digital health fields. His research spans Internet-of-Things, mobile health, data analysis, biomedical signal processing, and artificial intelligence. He is also responsible for teaching and supervising students at the University of Turku.
My primary research field is mobile health, using biomedical signal processing and artificial intelligence for Internet-of-Things-based healthcare applications.
At the University of Turku, I have been the teacher of the DTEK0042 Acquisition and Analysis of Biosignals and DTEK0086 Biosignal Analytics courses since 2019.
- Accuracy Assessment of Oura Ring Nocturnal Heart Rate and Heart Rate Variability in Comparison With Electrocardiography in Time and Frequency Domains: Comprehensive Analysis (2022)
- Journal of Medical Internet Research
(Refereed journal article or data article (A1)) - Detection of COVID-19 Using Heart Rate and Blood Pressure: Lessons Learned from Patients with ARDS (2021)
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society
(Refereed article in conference proceedings (A4)) - Exploring computation offloading in IoT systems (2021)
- Information Systems
(Refereed journal article or data article (A1)) - Lightweight Photoplethysmography Quality Assessment for Real-time IoT-based Health Monitoring using Unsupervised Anomaly Detection (2021)
- Procedia Computer Science
(Refereed article in conference proceedings (A4)) - Long-Term IoT-Based Maternal Monitoring: System Design and Evaluation (2021)
- Sensors
(Refereed journal article or data article (A1)) - Pregnant women's daily patterns of well-being before and during the COVID-19 pandemic in Finland: Longitudinal monitoring through smartwatch technology (2021)
- PLoS ONE
(Refereed journal article or data article (A1)) - Smart home technology for geriatric rehabilitation and the Internet of Things (2021) Smart Home Technologies and Services for Geriatric Rehabilitation Mieronkoski Riitta, Azimi Iman, Sequeira Lydia, Peltonen Laura-Maria
(Refereed article in compilation book (A3)) - Context-Aware Sensing via Dynamic Programming for Edge-Assisted Wearable Systems (2020)
- ACM Transactions on Computing for Healthcare
(Refereed journal article or data article (A1)) - Continuous 7-month Internet of Things -based monitoring of health parameters of pregnant and Postpartum Women: prospective observational feasibility study (2020)
- JMIR Formative Research
(Refereed journal article or data article (A1)) - Edge-Assisted Control for Healthcare Internet of Things: A Case Study on PPG-Based Early Warning Score (2020)
- ACM Transactions on the Internet of Things
(Refereed journal article or data article (A1)) - Optimizing Energy Efficiency of Wearable Sensors Using Fog‐assisted Control (2020) Fog Computing: Theory and Practice Delaram Amiri, Arman Anzanpour, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg, Nikil Dutt, Marco Levorato
(Refereed article in compilation book (A3)) - Sleep tracking of a commercially available smart ring and smartwatch against medical-grade actigraphy in everyday settings: instrument validation study (2020)
- JMIR mHealth and uHealth
(Refereed journal article or data article (A1)) - Analysis of performance and energy consumption of wearable devices and mobile gateways in IoT applications (2019) COINS '19 Proceedings of the International Conference on Omni-Layer Intelligent Systems Nakhkash M., Gia T., Azimi I., Anzanpour A., Rahmani A., Liljeberg P.
(Refereed article in conference proceedings (A4)) - A Real-time PPG Quality Assessment Approach for Healthcare Internet-of-Things (2019)
- Procedia Computer Science
(Refereed article in conference proceedings (A4)) - Confidence-Enhanced Early Warning Score Based on Fuzzy Logic (2019)
- Mobile Networks and Applications
(Refereed journal article or data article (A1)) - Dynamic Computation Migration at the Edge: Is There an Optimal Choice? (2019) GLSVLSI '19: Proceedings of the 2019 on Great Lakes Symposium on VLSI Sina Shahhosseini, Iman Azimi, Arman Anzanpour, Axel Jantsch, Pasi Liljeberg, Nikil Dutt, Amir M. Rahmani
(Refereed article in conference proceedings (A4)) - Feasibility of smart wristbands for continuous monitoring during pregnancy and one month after birth (2019)
- BMC Pregnancy and Childbirth
(Refereed journal article or data article (A1)) - Missing data resilient decision-making for healthcare IoT through personalization: A case study on maternal health (2019)
- Future Generation Computer Systems
(Refereed journal article or data article (A1)) - Personalized data analytics for internet-of-things-based health monitoring (2019) Azimi Iman
(Doctoral dissertation (article) (G5)) - Personalized Maternal Sleep Quality Assessment: An Objective IoT-based Longitudinal Study (2019)
- IEEE Access
(Refereed journal article or data article (A1))