Pregled bibliografske jedinice broj: 866760
MULTISAB project: a web platform based on specialized frameworks for heterogeneous biomedical time series analysis - an architectural overview
MULTISAB project: a web platform based on specialized frameworks for heterogeneous biomedical time series analysis - an architectural overview // Proceedings of the International Conference on Medical and Biological Engineering 2017 / Badnjević, Almir (ur.).
Sarajevo, Bosna i Hercegovina: Springer, 2017. str. 9-15 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 866760 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
MULTISAB project: a web platform based on specialized frameworks for heterogeneous biomedical time series analysis - an architectural overview
Autori
Friganović, Krešimir ; Jović, Alan ; Jozić, Krešimir ; Kukolja, Davor ; Cifrek, Mario
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the International Conference on Medical and Biological Engineering 2017
/ Badnjević, Almir - : Springer, 2017, 9-15
ISBN
978-981-10-4166-2
Skup
CMBEBIH 2017
Mjesto i datum
Sarajevo, Bosna i Hercegovina, 16.03.2017. - 18.03.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
framework, web platform, biomedical time series, frontend development, signal visualization
Sažetak
The aim of this work is to present an architectural overview of a novel web platform used for heterogeneous biomedical time series analysis. Its architecture is based on three subprojects: frontend, backend, and processing. Frontend uses several contemporary web technologies to present a fast, responsive and pleasing user interface. Backend, written in Java, communicates with a database and with other servers, on which the processing subproject is deployed. The processing subproject contains several frameworks intended for: record input handling, signal preprocessing, data visualization, general time series features extraction, specific time series features extraction (e.g. heart rate variability and electroencephalogram), data mining, and reporting. The platform is in an early phase of implementation, but we demonstrate its features and capabilities, of which feature extraction frameworks and signal visualization currently stand out.
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)