Pregled bibliografske jedinice broj: 952920
Challenges in Designing Software Architectures for Web Based Biomedical Signal Analysis
Challenges in Designing Software Architectures for Web Based Biomedical Signal Analysis // Medical Big Data and Internet of Medical Things: Advances, Challenges and Applications / Hassanien, Aboul Ella ; Dey, Nilanjan ; Borra, Surekha (ur.).
Boca Raton (FL): CRC Press ; Taylor & Francis, 2018. str. 81-112
CROSBI ID: 952920 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Challenges in Designing Software Architectures for Web Based Biomedical Signal Analysis
Autori
Jović, Alan ; Jozić, Krešimir ; Kukolja, Davor ; Friganović, Krešimir ; Cifrek, Mario
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Medical Big Data and Internet of Medical Things: Advances, Challenges and Applications
Urednik/ci
Hassanien, Aboul Ella ; Dey, Nilanjan ; Borra, Surekha
Izdavač
CRC Press ; Taylor & Francis
Grad
Boca Raton (FL)
Godina
2018
Raspon stranica
81-112
ISBN
978-1-1384-9247-9
Ključne riječi
computer architecture ; web platform ; biomedical signal analysis ; remote healtcare systems ; decision support systems
Sažetak
In contemporary explorations of biomedical data, there is a strong inclination towards software platforms that offer ubiquitous access and ease of use. Traditional biomedical signal analysis, such as detection of disorders in electrocardiogram recordings is considered as difficult task. There are many approaches to tackle such tasks, but the common assumption is that such an analysis should be performed both offline (after data collection) and particularly off the web, using MATLAB (or Octave) programs or other specialized software. There has been little effort involved in complete web solutions for biomedical signal analysis, which, compared to traditional analysis, have many advantages: access from afar, browser-only software requirements, reliance on fast server solutions for calculations, etc. This chapter considers web systems for biomedical signal analysis and describes their software architecture design aspects. It examines its applications: home care, medical education, signal repositories with visualization capabilities, signal analysis environments with data mining. The focus is on challenges involving these systems, like: data privacy, frontend workflow, frontend and backend interactions, database design, integration of data analysis and reporting libraries, programming language issues, etc. We emphasize that little work was published regarding architectural considerations in this setting and highlight the importance of overcoming these issues.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Kliničke medicinske znanosti
POVEZANOST RADA
Projekti:
HRZZ-UIP-2014-09-6889 - Programski sustav za paralelnu analizu više heterogenih nizova vremenskih podataka s primjenom u biomedicini (MULTISAB) (Jović, Alan, HRZZ ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
INA-Industrija nafte d.d.
Profili:
Mario Cifrek
(autor)
Krešimir Jozić
(autor)
Krešimir Friganović
(autor)
Alan Jović
(autor)
Davor Kukolja
(autor)