At Computing in Cardiology in São Paulo, Brazil, 14-17 September 2025:
❖ Natalia Cotic reported on validating and extending the classic Bernardi study on cardiovascular entrainment to music;
❖ Tianshi Xie‘s poster showed 12-lead ECG classification for unbalanced data using a combined CNN-Transformer network with hand-crafted features;
❖ Poulomi Pal‘s research tackles music-based prediction of systolic and diastolic blood pressure from ECG and respiration signals; and,
❖ Mateusz Soliński detected association patterns between musical and physiological change points for micro music-based interventions.
❖ Elaine Chew co-chaired the Cardiovascular and Respiratory Variability session.
All papers are being finalised and will be published in IEEE Xplore in due time.
Natalia Cotic presented a poster “Entrainment of Autonomic Rhythms to Musical Structure: Re-visiting and Extending Bernardi et al (2009)” in Poster Session 7 System study and Heart rate Variability (P7_7) in the Turquesa Room: Pantanal from 4:15 PM – 5:45 PM on Tuesday, September 16th. The poster drew many conference attendees, which kept Natalia busy throughout the poster session.
Mateusz Soliński gave an aural presentation on “Identifying Music-Cardiovascular Change Point Associations for Targeted Micro-interventions” in the Heart Rate and Cardiovascular Variability (SB2) Chaired by Esa Räsänen and Vlasta Bari in the Turquesa 3 Room: Cerrado from 2:00 PM – 3:00 PM on Wednesday, September 17th. Mateusz additionally presented two posters on the SPAR method and his OpenPPG mobile app, for which he won his second Gary and Bill Sanders Poster Award.
Elaine Chew presented MSc student Tianshi Xie‘s poster “Combined Convolutional Neural Network-Transformer Network with Hand-Crafted Features for Imbalanced Multi-label 12-lead ECG Classification (268)” in Poster Session 7 System study and Heart rate Variability (P7_7) in the Turquesa Room: Pantanal from 4:15 PM – 5:45 PM on Tuesday, September 16th.
Elaine also presented postdoc Poulomi Pal talk on “Music-based Graph Attention Network using ECG and Respiration Signals to Predict Systolic and Diastolic Blood Pressure (364)” in Paper Session 7 Cardiovascular and Cardiorespiratory Variability (S82) which she co-chaired with Alejandra Guillén-Mandujano in the Turquesa 3 Room: Cerrado at 8:30 AM – 10:00 AM.
King’s College London School of Biomedical Engineering & Imaging Sciences had a strong showing at CinC this year.
We also enjoyed outdoor activities (kayaking, zip line) and some culture (São Paulo’s iconic MASP and Brazilian music), thanks to the organising team led by Dr Joao Salinet!
CinC 2025 : https://cinc2025.eventos.ufabc.edu.br
COSMOS Announcement : https://cosmos.isd.kcl.ac.uk/?p=6653
