Abstract
This work deals with healthcare systems where healthcare professionals’ and patients’ comfort, providing relevant decision in real time and scrupulously respecting barrier gestures in pandemics times are among the important issues. Recently, Internet of Things technology has been rapidly employed by several applications impacting our daily life activities. Special attentions were devoted to healthcare systems, resulting in a sub branch of IoT, named Internet of Medical Things (IoMT). This work intends to propose an IoMT based Smart Healthcare system. The contribution is twofold: Initially, we develop a medical device and a Mobile Application that facilitate diagnosis and reduce proxemics between patient and healthcare professionals. The medical device acquires vital medical information that can be useful for several pathologies’ diagnosis. The mobile application offers ability to identify patient, extract his medical e-form and assist diagnosis process. Secondly, we propose a general approach for consultation, that reduces interactions specially in pandemic times and decreases resource and time consummation. The approach is based on Multi-agent System paradigm, Face recognition and IoT technology. The proposal is exemplified by testbed case study on pulmonary embolism diagnosis.
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Kouah, S., Ababsa, A., Kitouni, I. (2023). Internet of Things Based Smart Healthcare System. In: Kabassi, K., Mylonas, P., Caro, J. (eds) Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023). NiDS 2023. Lecture Notes in Networks and Systems, vol 783. Springer, Cham. https://doi.org/10.1007/978-3-031-44097-7_29
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