Pregled bibliografske jedinice broj: 939839
Parallelization in biomedical time series analysis web platform: the MULTISAB project experience
Parallelization in biomedical time series analysis web platform: the MULTISAB project experience // Proceedings of MIPRO 2018 / Skala, Karolj (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2018. str. 337-342 doi:10.23919/MIPRO.2018.8400060 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 939839 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Parallelization in biomedical time series analysis web platform: the MULTISAB project experience
Autori
Jović, Alan ; Jozić, Krešimir ; Kukolja, Davor ; Friganović, Krešimir ; Cifrek, Mario
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of MIPRO 2018
/ Skala, Karolj - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2018, 337-342
ISBN
978-953-233-096-0
Skup
41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2018)
Mjesto i datum
Opatija, Hrvatska, 21.05.2018. - 25.05.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
biomedical time series analysis, feature extraction, web platform, parallelization, multithreading
Sažetak
Parallel execution of operations required for biomedical time series (BTS) analysis is an important issue in optimization of medical software efficiency. We investigate the applicability of several parallelization approaches to BTS analysis in the context of feature extraction from multiple heterogeneous BTS on a Java based web platform called MULTISAB, designed for medical diagnostics. Considering only the calculation parallelization of many different BTS features, our research suggests that parallelization based on simple Java multithreading works the best. The threads are assigned based on the data and analysis parameters provided, where feature extraction parallelization is performed on the following levels: 1) multiple segments ; 2) multiple signal trails ; 3) multiple patient records. The synchronization mechanism should be simple: the analysis continues once all threads terminate their work and record the extracted feature vectors. A special case, when features from two signal trails (bivariate features) are extracted, includes multithreading on signal pairs for multiple signal trails level parallelization. We also provide an overview of the web platform architecture to put the parallelized parts into the overall perspective.
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)
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus