Javier Civit-Masot is a biomedical engineer with a Ph.D. in Computer Science. He is a postdoc lecturer in the Computer Architecture and Technology Department, University of Seville, Spain. He has also collaborated with the Medical Physics Laboratory, Aristotle University of Thessaloniki, Greece, and has been responsible for the Epione EU project. His current research interests include deep learning algorithms for diagnostic support and medical instrumentation.
Applied to health field, Internet of Things (IoT) systems provides continuous and ubiquitous monitoring and assistance, allowing the creation of valuable tools for diagnosis, health empowerment, and personalized treatment, among others. Advances in these systems follow different approaches, such as the integration of new protocols and standards, combination with artificial intelligence algorithms, application of big data processing methodologies, among others. These new systems and applications also should face different challenges when applying this kind of technology into health areas, such as the management of personal data sensed, integration with electronic health records, make sensing devices comfortable to wear, and achieve an accurate acquisition of the sensed data. The objective of this chapter is to present the state of the art, indicating the most current IoT trends applied to the health field, their contributions, technologies applied, and challenges faced.
Part of the book: Internet of Things