Margot Campi, a student from France currently studying at IMT Atlantique in Brest, is participating in a non-degree student exchange program at Universitas Gadjah Mada (UGM).
She is enrolled in the Master’s Program in Biomedical Engineering at the UGM Graduate School (Sekolah Pascasarjana – SPs). With the help of her friend Fitri Nur Laily as a translator, Margot enthusiastically shared her thoughts about the program, her academic journey, and her aspirations in the rapidly growing field of biomedical engineering. read more

In recent years, heart disease has remained the leading cause of death worldwide, including in Indonesia. Among various heart conditions, myocardial infarction (MI) is one of the most common forms of coronary heart disease. Early detection of MI is crucial to prevent more severe complications, including sudden death. One effective method for detecting myocardial infarction is through the analysis of electrocardiogram (EKG) signals.

The integration of artificial intelligence (AI) technology has significantly advanced the classification of heart diseases based on EKG signals. However, the interpretability of the decision-making results from machine learning models is essential to ensure clinical trust and validity. This research, conducted by Farhatul Fityah, aims to evaluate the interpretability of a simple rule-based machine learning model in the qualitative classification of myocardial infarction by cardiologists.

Farhatul Fityah atau yang akrab disaba Tya adalah Mahasiwa Magister Teknik Biomedis untuk menyusun menjadi sebuah tesis yang bejudul Evaluasi Interpretabilitas Rule-Based Classifier dalam Klasifikasi Myocardial Infarction Berdasarkan Fitur Sintaksis Sinyal EKG, dan berhasil lulus dengan predikat cumlaude pada 31 januari 2025 read more

The relationship between physiological signals and human emotions has made Noan Yaseka interested in researching this, which was written in a thesis entitled Application of Asymmetric Windowing Recurrence Plots in Encoding Heart Signals for Emotion Classification Using Deep Learning

Guided by Ir. Noor Akhmad Setiawan, S.T., M.T., Ph.D., IPM from the Faculty of Engineering and Dra. Sri Kusrohmaniah, M.Sc., Ph.D., Psychologist from the Faculty of Psychology, Noan has successfully graduated with cum laude predicate from the Master of Biomedical Engineering Study Program, UGM Postgraduate School (SPs) and attended the graduation on January 31, 2025 read more