Pregled bibliografske jedinice broj: 1276488
IoT and health monitoring wearable devices as enabling technologies for sustainable enhancement of life quality in smart environments
IoT and health monitoring wearable devices as enabling technologies for sustainable enhancement of life quality in smart environments // Journal of Cleaner Production, 413 (2023), 137506-137518 doi:10.1016/j.jclepro.2023.137506 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1276488 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
IoT and health monitoring wearable devices as
enabling technologies for sustainable enhancement
of life quality in smart environments
Autori
Zovko, Kristina ; Šerić, Ljiljana ; Perković, Toni ; Belani, Hrvoje ; Šolić, Petar
Izvornik
Journal of Cleaner Production (0959-6526) 413
(2023);
137506-137518
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Wearable devices, Non-invasive, Health, Monitoring, Machine learning, Sensors, IoT wallet, SAREF ontology, Smart environments, Sustainable
Sažetak
The Internet of Things (IoT) technology with wearable devices provides a promising solution that enables con-tinuous monitoring of health parameters. Non-invasive sensors enable remote health monitoring and improve many aspects of life quality. The study explores advances in IoT and Wearable Devices through a conceptualization of health monitoring observer networks. The paper proposes an architecture inspired by a formal description of human perception, which has been successfully employed in environmental monitoring and can be adapted to healthcare for better integration and comprehension of patient health data. The proposed architecture involves a three- layer ap-proach Sensors, Integration and Association and Application and Diagnostic, similar to the architecture used in forest fire monitoring. The Sensors layer describes state-of- the-art cutting-edge equipment and related sensors for gathering information. The second layer, Integration and Association propose an ontology and a potential solution for integrat-ing sensor information from the device to the cloud. Furthermore, the third layer, Application and Diagnostic gives a review of used machine learning algorithms for detecting and diagnosing various diseases. Finally, a case study of elderly health monitoring using wearable devices is presented, discussing the methodology for economic value calcu-lation to decrease the cost of efficient health management and improve quality of life. The use of a health monitoring observer network not only improves quality of life, but also reduces the cost of health monitoring, making it more sustainable for the general community.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
UIP-2017-05-4206 - Internet stvari: istraživanja i primjene (IoTRA) (Šolić, Petar, HRZZ - 2017-05) ( CroRIS)
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
Profili:
Kristina Zovko
(autor)
Hrvoje Belani
(autor)
Toni Perković
(autor)
Ljiljana Šerić
(autor)
Petar Šolić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus