Medical data processing and analysis for remote health and activities monitoring
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
Abstract
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 medical data processing and analysis; (3) big medical data analytics for remote health monitoring; (4) research challenges and opportunities in medical data analytics; (5) examples of case studies and practical solutions.
- Record ID
- CUTe68ebb1de37d4d53bf149e0851a692cd
- Publication type
- Publication categories
- ; ;
- Author
- Pages
- 186-220
- Other elements of collation
- rys.; tab.; Bibliografia (na s.) - 214-219; Bibliografia (liczba pozycji) - 83; Oznaczenie streszczenia - Abstr.
- Substantive notes
- Na okł.: State-of-the-Art Survey
- Book
- Kołodziej Joanna, Joanna Kołodziej González-Vélez Horacio Horacio González-Vélez (eds.): High-performance modelling and simulation for big data applications : selected results of the COST action IC1406 cHiPSet, Theoretical Computer Science and General Issues, 2019, Cham, Springer, Springer, 352 p., ISBN 978-3-030-02327-0 (eBook). DOI:10.1007/978-3-030-16272-6 Opening in a new tab
- Keywords in English
- e-health, Internet of Things (IoT), remote health monitoring, pervasive healthcare (PH)
- DOI
- DOI:10.1007/978-3-030-16272-6_7 Opening in a new tab
- URL
- https://link.springer.com/chapter/10.1007/978-3-030-16272-6_7 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 20
- Additional fields
- Indeksowana w: Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUTe68ebb1de37d4d53bf149e0851a692cd/
- URN
urn:pkr-prod:CUTe68ebb1de37d4d53bf149e0851a692cd
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.