Authors
Salvatore Vitabile, Michal Marks, Dragan Stojanovic, Sabri Pllana, Jose M Molina, Mateusz Krzyszton, Andrzej Sikora, Andrzej Jarynowski, Farhoud Hosseinpour, Agnieszka Jakobik, Aleksandra Stojnev Ilic, Ana Respicio, Dorin Moldovan, Cristina Pop, Ioan Salomie
Publication date
2019/3/26
Book
High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet
Pages
186-220
Publisher
Springer International Publishing
Description
Recent developments in sensor technology, wearable computing, Internet of Things (IoT), and wireless communication have given rise to research in ubiquitous healthcare and remote monitoring of human’s health and activities. Health monitoring systems involve processing and analysis of data retrieved from smartphones, smart watches, smart bracelets, as well as various sensors and wearable devices. Such systems enable continuous monitoring of patients psychological and health conditions by sensing and transmitting measurements such as heart rate, electrocardiogram, body temperature, respiratory rate, chest sounds, or blood pressure. Pervasive healthcare, as a relevant application domain in this context, aims at revolutionizing the delivery of medical services through a medical assistive environment and facilitates the independent living of patients. In this chapter, we discuss (1) data collection, fusion, ownership and privacy issues;(2) models, technologies and solutions for cO The Author (s) 2019 J. Ko lodziej and H. González-Vélez (Eds.): cHiPSet, LNCS 11400, pp. 186–220, 2019. https://doi. org/10.1007/978-3-030-16272-6 _ 7
Total citations
201920202021202220232024612282193
Scholar articles
S Vitabile, M Marks, D Stojanovic, S Pllana, JM Molina… - High-Performance Modelling and Simulation for Big …, 2019