We are excited to share that Marion Taconné will present study results on ECG-based phenotyping of hypertrophic cardiomyopathy at the annual IEEE Engineering in Medicine and Biology Society (EMBC) confrence in Toronto, Canada. The study was a collaboration between our SMASH-HCM project partners from Politecnico di Milano and CHU de Rennes. The presentation will take place on Wednesday, 29 July from 11:30-13:00 during the session ‘WE.2.1: Deep and Representation Learning for Cardiac Risk’ in room 803AB.
The objective of the presentation is to propose a phenotyping of HCM patients based on their ECG records. Since these phenogroups also represent distinct clinical profiles with varying risk levels, a deep-learning model which was pre-trained on ECG data was used to generate a latent space, to which they applied clustering. To enhance interpretability, they extracted classical ECG features to explain the primary ECG differences among the four identified phenotypes.
If you are attending EMBC2026 feel free to reach out and connect!
