Zavod za elektroničke sustave i obradbu informacija, Odjel za tehniku u medicini i biologiji (EMB18) i Odjel za obradu signala (SP01) Hrvatske sekcije IEEE pozivaju vas na predavanje organizirano u sklopu programa razmjene Erasmus KA131+ pod naslovom
Detection of Intra-beat Waves on Ambulatory ECG: Interpretable Deep Learning Approaches
kojeg će održati
MSc Carmen Plaza Seco sa Sveučilišta u Alcali, Španjolska.
Predavanje će se održati na Fakultetu elektrotehnike i računarstva Sveučilišta u Zagrebu u
srijedu 25. rujna 2024. godine u 10:00 sati u Sivoj Vijećnici.
Predavanje je na engleskom jeziku, a predviđeno trajanje s raspravom je 60 minuta. Predavanje je otvoreno za sve zainteresirane, a posebno pozivamo studente.
Sažetak predavanja i kratki životopis predavačice su dostupni u opširnijoj obavijesti.
Sažetak predavanja
In this lecture, we will explore signal processing and artificial intelligence techniques for detecting intra-beat waves in long-term electrocardiogram (ECG) signals. A particular focus will be placed on the interpretability of deep learning models, such as transformers, which is crucial in the healthcare field to ensure that clinicians can trust and rely on the results.
Životopis predavačice
Carmen Plaza Seco is a PhD student at the University of Alcalá, Madrid, Spain. She graduated in Biomedical Engineering in 2020 and completed her MSc in Computational Intelligence and Interactive Systems at the Autonomous University of Madrid in 2021. Her current research focuses on the development of learning-based techniques for the characterization of long-term electrocardiographic signals. She is also collaborating with the University of Delaware in the United States as part of her PhD work.
IEEE
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