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Special Issue: Empowering eHealth with Smart Internet of Things (IoT) Medical Devices

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submitted on 2024-05-28, 07:14 and posted on 2024-05-28, 07:14 authored by Abbes Amira, Nazim Agoulmine, Faycal Bensaali, Amine Bermak, George Dimitrakopoulos

The use of Internet of Things (IoT) with medical devices within a connected health environment promotes the quick flow of information and enables easy access to it. In such an environment, the patient’s vital parameters are transmitted by medical devices onto secure cloud based platforms where they are stored, aggregated and analyzed. IoT helps to store data for millions of patients and perform analysis in real-time, promoting an evidence-based medicine system. This Special Issue has focused on pioneering future directions and innovation in smart wearable embedded solutions and IoT with applications in connected health, biomedical signal processing and smart environments. More specifically, it aimed to gather research papers that emphasize the challenges for medical devices caused by the IoT, that highlight the main research gaps in the area of connected health and smart wearable devices and eventually to respond to the following questions:

Q1 What recent advances have been made in intelligent real-time health data collection?

Q2 What important advances have been made to empower eHealth with novel IoT devices?

Q3 Has data interpretation and fusion improved significantly in recent years?

Q4 How did we improve the security and reliability of medical data communication?

Q5 How has IoT technology been used to make the eHealth environment smarter?

Q6 How will recent progress in smart biosensors improve future eHealth?

Q7 How is Cloud Computing power improving our capacity to manage patients and diseases whilst delivering innovative eHealth services?

Other Information

Published in: Journal of Sensor and Actuator Networks
See article on publisher's website:


Open Access funding provided by the Qatar National Library.



  • English



Publication Year

  • 2019

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Qatar University
  • College of Engineering - QU
  • Hamad Bin Khalifa University
  • Qatar Computing Research Institute - HBKU

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