Abstract
Nowadays, the emergence of smart technologies in healthcare domain is revolutionizing all aspects of patients’ daily life. Indeed, the continual increase of patients with chronic diseases has revealed two major challenges: improving the patients’ living quality, which has been motivated by their growing need to be cared in a family environment, and reducing the costs of care. Remote patient monitoring (RPM) at home represents a promising opportunity to face these challenges. It is mainly based on using smart devices such as sensors in order to monitor the patient’s status anywhere and at any time and to detect earlier any critical health situation to trigger different actions accordingly. Based on this context, we are designing a system capable of offering services in order to monitor and assist patients at home. Indeed, these services could actuate different actions according to detected situations. But it is necessary to notice that all patients do not have the same needs and preferences. So the system should be able to cover all characteristics that differentiate each patient as well as the devices that are used in their environment.
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Makssoud, M. (2021). Personalization of Proposed Services in a Sensor-Based Remote Care Application. In: Arabnia, H.R., Deligiannidis, L., Shouno, H., Tinetti, F.G., Tran, QN. (eds) Advances in Computer Vision and Computational Biology. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-71051-4_42
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DOI: https://doi.org/10.1007/978-3-030-71051-4_42
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