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Medical Data Processing and Analysis for Remote Health and Activities Monitoring
University of Palermo, Italy.
Research and Academic Computer Network, Poland.
University of Nis, Serbia.
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (Parallel Computing)ORCID iD: 0000-0002-4146-9062
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2019 (English)In: High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet / [ed] Joanna Kołodziej, Horacio González-Vélez, Springer, 2019, p. 186-220Chapter in book (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer, 2019. p. 186-220
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11400
Keywords [en]
e-Health, Internet of Things (IoT), Remote health monitoring, Pervasive healthcare (PH)
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:lnu:diva-81344DOI: 10.1007/978-3-030-16272-6_7Scopus ID: 2-s2.0-85063794806ISBN: 978-3-030-16271-9 (print)ISBN: 978-3-030-16272-6 (electronic)OAI: oai:DiVA.org:lnu-81344DiVA, id: diva2:1299424
Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-08-29Bibliographically approved

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Pllana, Sabri

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CiteExportLink to record
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Citation style
  • apa
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Output format
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