Pregled bibliografske jedinice broj: 878134
Biomedical Time Series Preprocessing and Expert-System Based Feature Extraction in MULTISAB Platform
Biomedical Time Series Preprocessing and Expert-System Based Feature Extraction in MULTISAB Platform // Proceedings of MIPRO 2017 / Biljanović, Petar (ur.).
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2017. str. 349-354 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 878134 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Biomedical Time Series Preprocessing and Expert-System Based Feature Extraction in MULTISAB Platform
Autori
Jović, Alan ; Kukolja, Davor ; Friganović, Krešimir ; Jozić, Krešimir ; Car, Siniša
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of MIPRO 2017
/ Biljanović, Petar - Rijeka : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2017, 349-354
ISBN
978-953-233-093-9
Skup
40th Jubilee International Convention MIPRO 2017
Mjesto i datum
Opatija, Hrvatska, 22.05.2017. - 26.05.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
biomedical time series analysis ; expert system ; morphological features ; electrocardiogram ; web platform
Sažetak
In this paper, we review the current state of implementation of the MULTISAB platform, a web platform whose main goal is to provide a user with detailed analysis capabilities for heterogeneous biomedical time series. These time series are often encumbered by noise that prohibits accurate calculation of clinically significant features. The goal of preprocessing is either to completely remove the noise or at least to ameliorate the quality of the recorded series. The focus of this paper is on the description of an expert feature recommendation system for electrocardiogram analysis. We demonstrate the process through which one arrives at a point where significant expert features are proposed to a platform user, based on time series at hand, analysis goal, and available length of the time series. We also provide the description of implemented preprocessing techniques and feature extraction procedure within the platform.
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
Profili:
Krešimir Jozić
(autor)
Krešimir Friganović
(autor)
Alan Jović
(autor)
Davor Kukolja
(autor)
Siniša Car
(autor)