Overview of the ISO/IEEE11073 Family of Standards and their Applications to Health Monitoring

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Author(s): J. Escayola (University of Zaragoza, Spain), J.D. Trigo (University of Zaragoza, Spain), I. Martínez (University of Zaragoza, Spain), M. Martínez-Espronceda (Public University of Navarre, Spain), A. Aragüés (University of Zaragoza, Spain), D. Sancho (University of Zaragoza, Spain), S. Led (Public University of Navarre, Spain), L. Serrano (Public University of Navarre, Spain)and J. García (University of Zaragoza, Spain)
Copyright: 2013
Pages: 25
Source title: User-Driven Healthcare: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-2770-3.ch018

Keywords: Health Information Systems / Medical Information Science Reference / Medicine & Healthcare

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Abstract

Traditional fields in health delivery such as chronic diseases or independent aging are evolving to novel healthcare applications like intra-hospital ecosystems and Neonatal Intensive Care Units (NICUs). Furthermore, emerging trends in Information and Communication Technologies (ICTs) and evolution of the Medical Devices (MDs) to Personal Health Devices (PHDs) led towards the interoperability of new health services. In this patient-centered context, the international ISO/IEEE11073 (X73) family of standards is proposed to provide device usability enhancements. In this chapter, the X73 technical features and the new transport technology profiles specifically designed for X73 are introduced to provide an updated framework for developing highly efficient portable and wearable MDs and PHDs. Moreover, these protocol guidelines and technology features are applied to vital signs monitoring, pointing out some potential advantages for adopting new use cases such as NICUs where design requirements like ergonomics, reliability, size, power consumption and signal transmission become strict implementation constraints.

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Overview of the ISO/IEEE11073 Family of Standards and their Applications to Health Monitoring

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