Naslov
A Web Platform for Analysis of Multivariate Heterogeneous Biomedical Time-Series - a Preliminary Report

Autori
Jović, Alan ; Kukolja, Davor ; Jozić, Krešimir ; Horvat, Marko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 23rd International Conference on Systems, Signals and Image Processing / Podhradsky, Pavel ; Rozinaj, Gregor ; Rybarova, Renata - Bratislava, 2016

ISBN
978-1-4673-9554-0

Skup
23rd International Conference on Systems, Signals and Image Processing (IWSSIP 2016)

Mjesto i datum
Bratislava, Slovačka, 23.05.2016. - 25.05.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Biomedical time-series analysis; Machine learning; Web platform; Expert system; Visualization; Use case scenario

Sažetak
Biomedical time-series analysis is a diverse field that includes biomedical engineering, computer science, and medical achievements, with the goal to save human lives and improve the quality of healthcare. In this paper, we present a preliminary report on construction of an innovative web platform for heterogeneous multivariate biomedical time-series analysis. The platform will feature data upload, preprocessing, feature extraction, model construction, visualization of signals and disorders, and reporting. Several scenarios of use will be prepared for a user, depending on his research or practice goals. An expert system for feature recommendation, specifically designed to support clinical decisions, will be implemented in the platform. In the current phase of research on our project, we describe the features of the platform, including some of its technological details, and the way in which we designed scenarios of use. Future papers will focus on specific aspects of the platform.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA