Doctoral student Natalia Cotic nails her presentation on breathing and heart rates synchronising with musical phrase arcs at Computing in Cardiology #CinC2024 in Karlsruhe, Germany, with great support from Vanessa Pope & Mateusz Soliński. The research builds on work by Corentin Guichaoua & Paul Lascabettes. Natalia is co-supervised by Professors Pier Lambiase & Phil Chowienczyk
Cotic N, VC Pope, M Solinski, PD Lambiase, E Chew (2024). A Computational Method for Empirically Validating Synchronisation Between Musical Phrase Arcs and Autonomic Variables. In Proceedings of Computing in Cardiology 51, Karlsruhe, Germany. url: cinc.org/2024/Program/accepted/380_Preprint.pdf
A Computational Method for Empirically Validating Synchronisation Between Musical Phrase Arcs and Autonomic Variables
Authors: Natalia Cotic; Vanessa Clare Pope; Mateusz Solinski; Pier Lambiase; Elaine Chew
Tue, 10 Sep 2024, 11:15 – 11:30
Abstract: Prior research suggests listeners’ autonomic variables may entrain with musical phrase arcs. Here, we apply a computational technique for automatic extraction of probabilistic phrase arc boundaries from recorded music audio and compare them to envelopes derived from physiological signals (respiration and RR intervals). The objective is to automate the evaluation of synchronisation of autonomic reactions to musical phrases, thereby assessing music’s ability to regulate physiological states. 20 participants’ (10 women, aged 39±11 years old) physiological signals (respiration and RR intervals) were recorded whilst listening to Prokofiev playing Prokofiev’s Gavotte Op.12 No.2 rendered on a reproducing piano. Phrase arcs are computed from the loudness profile using a novel Bayesian approach incorporating dynamic programming. Results show increased curve similarity between the loudness phrase arcs and the physiological signal envelopes for the original data compared to the surrogate, with p-values of 0.057 and 0.021 based on the binomial test. We have presented a fully automated data-driven technique for testing hypotheses about entrainment between musical phrase arcs and autonomic variables. Preliminary findings support the potential of employing music with specific structural qualities to modulate physiological signals.
Speaker: Natalia Cotic, King’s College London, PhD candidate
Session: Cardiovascular Variability (S43)
Chairs: Georgios Manis and Virginie Le Rolle
Computing in Cardiology 2024, Karlsruhe, Germany. See our photos of the Black Forest Hike and more.
