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Št. zadetkov: 4
Karakterizacija časovnih vrst vektorjev značilk prehodnih epizod segmenta ST elektrokardiograma
ŽIGA PIRNAR, Franc Jager
Diplomsko delo
Oznake: ambulantni elektrokardiogram;Long-Term ST Database;transformacija KLT;transformacija LPT;karakterizacija prehodnih epizod segmenta ST;časovne vrste vektorjev morfoloških značilk segmenta ST;
V tem delu smo karakterizirali časovne vrste vektorjev morfoloških in diagnostičnih značilk segmenta ST elektrokardiograma (EKG) mednarodne referenčne podatkovne baze LTST DB 24-urnih ambulantnih posnetkov. Za ocenjevanje moči predstavitve prehodnih morfoloških sprememb segmenta ST z novimi časovnim ...
Leto: 2016 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Characterization and separation of preterm and term spontaneous, induced, and cesarean EHG records
Žiga Pirnar, Franc Jager, Ksenija Geršak
Izvirni znanstveni članek
Oznake: elektrohisterogram;karakterizacija EHG posnetkov;separacija EHG posnetkov;napovedovanje prezgodnjega poroda;terminski porod;induciran porod;carski rez;FWL področje;FWH področje;electrohysterogram;characterization of EHG records;separation of EHG records;preterm birth prediction;term birth;induced birth;cesarean section;FWL band;FWH band;
To improve the understanding of the underlying physiological processes that lead to preterm birth, and different term delivery modes, we quantitatively characterized and assessed the separability of the sets of early (23rd week) and later (31st week) recorded, preterm and term spontaneous, induced, ...
Leto: 2022 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Peak amplitude of the normalized power spectrum of the electromyogram of the uterus in the low frequency band is an effective predictor of premature birth
Žiga Pirnar, Franc Jager, Ksenija Geršak
Izvirni znanstveni članek
Oznake: prezgodnji porod;nosečnost; elektromiogram maternice; biomarkerji;procesiranje signalov;močnostni spekter;globoko učenje;preterm birth;pregnancy; electromyogram of the uterus; biomarkers;signal processing;power spectrum;deep learning;
The current trends in the development of methods for non-invasive prediction of premature birth based on the electromyogram of the uterus, i.e., electrohysterogram (EHG), suggest an ever-increasing use of large number of features, complex models, and deep learning approaches. These “black-box” appro ...
Leto: 2024 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Assessing velocity and directionality of uterine electrical activity for preterm birth prediction using EHG surface records
Franc Jager, Ksenija Geršak, Paula Vouk, Žiga Pirnar, Andreja Trojner-Bregar, Miha Lučovnik, Ana Borovac
Izvirni znanstveni članek
Oznake: propagacija EHG valov;križna korelacija;prazni intervali;intervali s popadki;hitrost prevajanja;napovedovanje prezgodnjega poroda;propagation of EHG waves;cross correlation;dummy intervals;contraction intervals;conduction velocity;preterm birth prediction;
The aim of the present study was to assess the capability of conduction velocity amplitudes and directions of propagation of electrohysterogram (EHG) waves to better distinguish between preterm and term EHG surface records. Using short-time cross-correlation between pairs of bipolar EHG signals (upp ...
Leto: 2020 Vir: Fakulteta za računalništvo in informatiko (UL FRI)
Št. zadetkov: 4
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