Predictable structures in music synchronises blood pressure the most, and could be used to create personalised music-based cardiovascular therapies 


Notes to editor

This press release accompanies an abstract at ESC Congress 2025. 

It does not necessarily reflect the opinion of the European Society of Cardiology. 

 

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Funding: European Research Council as part of the COSMOS (Computational Shaping and Modeling of Musical Structures) project  

Disclosures: Ms. Cotic reports doctoral research support from the Engineering and Physical Sciences Research Council (EPSRC) of UK Research and Innovation (UKRI). Prof. Chew, Dr. Pope, and Dr. Soliński report research support from the European Research Council (ERC, 788960). Prof. Chew and Prof. Lambiase also received support from the ERC (957532) for this research.  

Prof Chew served as an advisor/consultant and/or received honoraria outside of this research for academic/research programme reviews for Georgia Institute of Technology, Institut de Recherch et Coordination Acoustique / Musique, Massachusetts Institute of Technology, Nanyang Technological University; grant reviews for the ERC, Harvard Radcliffe Institute for Advanced Study, National Science Foundation; and speaker/performer for a Biotronik event.   

Prof Lambiase receives research support outside of the present study from the National Institute for Health and Care Research (NIHR) and British Heart Foundation (BHF).  

  

References and notes: 

[1] Cotic, N, V Pope, M Soliński, PD Lambiase, E Chew (2025). Dynamics of Autonomic  Entrainment to Music: Effect of Loudness and Tempo Phrase Structures on RR Intervals and  Respiration. In Proceedings of the 47th Annual International Conference of the IEEE  Engineering in Medicine and Biology Society (EMBC), 14-17 Jul 2025, Copenhagen, DK.  kclpure.kcl.ac.uk/ws/portalfiles/portal/343854162/NC-EMBC25.pdf  

[2] Cotic, N, V Pope, M Soliński, P Lambiase, E Chew (2024). A Computational Method for  Empirically Validating Synchronisation Between Musical Phrase Arcs and Autonomic  Variables. In Proceedings of Computing in Cardiology (CinC), 8-11 Sep 2024, Karlsruhe, DE.  www.cinc.org/archives/2024/pdf/CinC2024-380.pdf  

[3] Cotic, N, V Pope, M Soliński, P Lambiase, E Chew (2024). Computationally Validating  Synchronisation Between Musical Phrase Arcs and Autonomic Variables. In Online  Proceedings of International Conference of the Society for Music Information Retrieval  (ISMIR), 11-15 Nov 2024, San Francisco, US. ismir2024program.ismir.net/lbd_467.html  

[4] Guichaoua, C, P Lascabettes, E Chew (2024). End-to-end Bayesian segmentation and similarity assessment of performed music tempo and dynamics with no score information. Special issue on Explaining music with AI: Advancing the scientific understanding of music through computation, Music and Science, 7: 16 pages. doi.org/10.1177/20592043241233411   

[5] Gitler A, Bar Yosef Y, Kotzer U, Levine AD. Harnessing noninvasive vagal neuromodulation: HRV biofeedback and SSP for cardiovascular and autonomic regulation (Review). Med Int (Lond). 2025 Apr 29;5(4):37. doi.org/10.3892/mi.2025.236 

The abstract «Cardiovascular synchronisation to music : blood pressure entrainment to expressive musical structures » will be presented at the session Digital innovations in clinical practice which takes place on 31 August from 08:15 to 09:45 am CEST at Digital Health Stage (Digital Health Area) 

 

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About the European Society of Cardiology 

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