Medical data processing and analysis for remote health and activities monitoring

Salvatore Vitabile, Ioan Salomie, Michal Marks, Cristina Pop, Jose M. Molina, Farhoud Hosseinpour, Andrzej Sikora, Andrzej Jarynowski, Mateusz Krzyszton, Agnieszka Jakobik, Ana Respicio, Dorin Moldovan, Aleksandra Stojnev Ilic, Dragan Stojanovic, Sabri Pllana

Research output: Chapter in Book/Report/Conference proceedingChapter

12 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number of pages35
Publication statusPublished - 2019

Publication series


All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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