TY - CHAP
T1 - Medical data processing and analysis for remote health and activities monitoring
AU - Vitabile, Salvatore
AU - Salomie, Ioan
AU - Marks, Michal
AU - Pop, Cristina
AU - Molina, Jose M.
AU - Hosseinpour, Farhoud
AU - Sikora, Andrzej
AU - Jarynowski, Andrzej
AU - Krzyszton, Mateusz
AU - Jakobik, Agnieszka
AU - Respicio, Ana
AU - Moldovan, Dorin
AU - Ilic, Aleksandra Stojnev
AU - Stojanovic, Dragan
AU - Pllana, Sabri
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10447/366170
UR - https://www.springer.com/series/558
M3 - Chapter
SN - 978-3-030-16271-9; 978-3-030-16272-6
T3 - LECTURE NOTES IN ARTIFICIAL INTELLIGENCE
SP - 186
EP - 220
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -