I
Iman Azimi
Researcher at University of Turku
Publications - 55
Citations - 2132
Iman Azimi is an academic researcher from University of Turku. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 16, co-authored 35 publications receiving 1369 citations. Previous affiliations of Iman Azimi include Information Technology University & Sapienza University of Rome.
Papers
More filters
Journal ArticleDOI
Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things
Amir M. Rahmani,Tuan Nguyen Gia,Behailu Negash,Arman Anzanpour,Iman Azimi,Mingzhe Jiang,Pasi Liljeberg +6 more
TL;DR: This paper proposes to exploit the concept of Fog Computing in Healthcare IoT systems by forming a Geo-distributed intermediary layer of intelligence between sensor nodes and Cloud and presents a prototype of a Smart e-Health Gateway called UT-GATE.
Journal ArticleDOI
Internet of things for remote elderly monitoring: a study from user-centered perspective
TL;DR: This paper studies the IoT-enabled systems tackling elderly monitoring to categorize the existing approaches from a new perspective and to introduce a hierarchical model for elderly-centered monitoring.
Journal ArticleDOI
HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT
Iman Azimi,Arman Anzanpour,Amir M. Rahmani,Tapio Pahikkala,Marco Levorato,Pasi Liljeberg,Nikil Dutt +6 more
TL;DR: The proposed hierarchical computing architecture, HiCH, is a novel computing architecture suitable for hierarchical partitioning and execution of machine learning based data analytics, and a closed-loop management technique capable of autonomous system adjustments with respect to patient’s condition.
Journal ArticleDOI
The Internet of Things for basic nursing care-A scoping review.
Riitta Mieronkoski,Iman Azimi,Amir M. Rahmani,Amir M. Rahmani,Riku Aantaa,Riku Aantaa,Virpi Terävä,Pasi Liljeberg,Sanna Salanterä,Sanna Salanterä +9 more
TL;DR: It is proposed that Internet of Things technology can be used to promote basic nursing care in the hospital environment by improving the quality of care and patient safety.
Proceedings ArticleDOI
Empowering healthcare IoT systems with hierarchical edge-based deep learning
Iman Azimi,Janne Takalo-Mattila,Arman Anzanpour,Amir M. Rahmani,Juha-Pekka Soininen,Pasi Liljeberg +5 more
TL;DR: This paper investigates the feasibility of deploying the Convolutional Neural Network (CNN) based classification model as an example of deep learning methods in a hierarchical computing architecture, and demonstrates a real-time health monitoring for a case study on ECG classifications.