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Poziv na radionicu "Workshop on Cardiac Signal Processing and Wave Detection"

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 radionicu organiziranu u sklopu programa razmjene Erasmus KA131+ pod naslovom

Workshop on Cardiac Signal Processing and Wave Detection

kojeg će održati

MSc Carmen Plaza Seco i MSc Lidia Pascual Sánchez sa Sveučilišta u Alcali, Španjolska.

Radionica će se održati na Fakultetu elektrotehnike i računarstva Sveučilišta u Zagrebu u

srijedu 2. listopada 2024. godine u 10:00 sati u A102.

Radionica je na engleskom jeziku, a predviđeno trajanje je 120 minuta.

Radionica je otvorena za sve zainteresirane, a posebno pozivamo studente, no zbog ograničenog broja mjesta potrebno se

prijaviti za sudjelovanje.

Sažetak radionice i kratki životopisi predavačica su dostupni u opširnijoj obavijesti.

Sažetak radionice

In this workshop, we will begin with a brief introduction to the fundamentals of cardiac signals. Participants will then engage in hands-on work with a runnable script, applying various signal processing techniques to electrocardiogram (ECG) data to detect cardiac waves.

Životopis predavačica:

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.

Lidia Pascual Sánchez is a PhD student at the University of Alcalá, Madrid, Spain. She graduated in Biomedical Engineering in 2021 and completed her MSc in Machine Learning in Health from Carlos III University of Madrid in 2022. Her doctoral research centers on developing learning-based methods for detecting T-Wave Alternans in ambulatory electrocardiographic signals.