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A. Smrdel
Researcher at University of Ljubljana
Publications - 17
Citations - 351
A. Smrdel is an academic researcher from University of Ljubljana. The author has contributed to research in topics: ST segment & Electrocardiography. The author has an hindex of 7, co-authored 16 publications receiving 300 citations.
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Journal ArticleDOI
Long-term ST database: a reference for the development and evaluation of automated ischaemia detectors and for the study of the dynamics of myocardial ischaemia.
Franc Jager,Franc Jager,Alessandro Taddei,George B. Moody,George B. Moody,Michele Emdin,G. Antolic,R. Dorn,A. Smrdel,C Marchesi,C Marchesi,Roger G. Mark,Roger G. Mark +12 more
TL;DR: The long-term ST database provides a comprehensive representation of ‘real-world’ data, with numerous examples of transient ischaemic and non-ischaemic ST segment changes, arrhythmias, conduction abnormalities, axis shifts, noise and artifacts.
Journal ArticleDOI
Automated detection of transient ST-segment episodes in 24 h electrocardiograms.
A. Smrdel,Franc Jager +1 more
TL;DR: A novel automated system is presented for improved detection of transient ischaemic and heart rate-related ST-segment episodes in ‘real-world’ 24 h ambulatory ECG data through a combination of traditional time-domain and Karhunen-Loève transform-based approaches.
Journal ArticleDOI
Separating sets of term and pre-term uterine EMG records.
A. Smrdel,Franc Jager +1 more
TL;DR: The adaptive autoregressive (AAR) method is investigated to estimate the EHG signal spectrograms and sample entropy, to separate and classify sets of term and pre-term delivery records, using the Term-Preterm EhG Database.
Proceedings ArticleDOI
The Long-Term ST database: a research resource for algorithm development and physiologic studies of transient myocardial ischemia
Franc Jager,Antonio Taddei,Michele Emdin,G. Antolic,R. Dorn,George B. Moody,B. Glavic,A. Smrdel,Maurizio Varanini,M. Zabukovec,S. Bordigiago,Carlo Marchesi,Roger G. Mark +12 more
TL;DR: The Long Term ST Database is presented, a collection of eighty 24-hour two and three lead ECG records from ambulatory subjects with transient ST segment abnormalities that provides a comprehensive standard research resource for quantitatively assessing the performance of automated detectors of transient ischemia and for supporting basic research into the mechanisms and dynamics of transient waschemia.
Proceedings ArticleDOI
A long-term ST database for development and evaluation of ischemia detectors
Franc Jager,George B. Moody,Antonio Taddei,G. Antolic,Michele Emdin,A. Smrdel,B. Glavic,Carlo Marchesi,Roger G. Mark +8 more
TL;DR: The authors present the selection criteria for records, an annotation protocol with definitions of transient ST events, interactive graphic tools for manual and automatic annotating, and the annotation procedure.