Abstract
Background: Music is increasingly recognised as a potential non-pharmacological intervention for cardiovascular regulation [1]. Prior research suggests that music features such as loudness and tempo influence autonomic responses, including blood pressure (BP) [2,3]; however, how music properties entrain BP remains unclear. Entrainment, the synchronisation of physiological rhythms with external stimuli, can be quantified using Earth Mover’s Distance (EMD) to produce a similarity measure between music and physiology. Understanding BP-music entrainment could inform personalised music-based cardiovascular therapies.
Purpose: This study aims to evaluate the effect of anticipatory mechanisms and music feature modulations on BP entrainment to different music pieces and their performed variations to advance the use of music in cardiovascular therapy.
Methods: Continuous BP was recorded from 92 participants (60 women, mean age 42 (95%CI:39.2-44.6)) while each individual listened to 9 out of a pool of 30 piano tracks [4]. A Bayesian algorithm [5] computationally detected tempo and loudness phrase arc boundaries, which denote arc-like changes in expressive music features and drive listeners' responses. The BP waveform was interpolated to the music’s beat time. Its envelope, computed using the Hilbert transform, was compared with the phrase arc outputs for tempo and loudness.
Results for each track were compared to surrogate data (generated from participants' responses to other tracks) to compute statistical significance. This helps determine whether BP response was influenced by the music rather than expected variation in the individual’s physiology. Paired t-tests compared BP entrainment to loudness vs. tempo. Pearson’s r coefficient assessed relationships between phrase arc statistics and entrainment strength.
Results: In 25 out of 30 tracks, BP entrains more to loudness than tempo, with significantly smaller curve differences (P<5.5e-07). Predictable tracks in the dataset are characterised by having (1) short mean phrase arc lengths with small standard deviations and (2) longer track durations with an increased number of phrase arcs. Increased predictability allows the listener to anticipate phrase changes leading to higher synchronisation. BP entrainment has average r=0.57 and r=0.65 for the mean arc length and standard deviation, and r=-0.66 and r=-0.57 for the number of arcs and track duration. Coupling between BP and tempo is greatest when tempo arcs closely resemble loudness arcs (Fig.1c and 1d) with r=0.87. See Fig.2 for correlations and visualisations.
Conclusion: Blood pressure response entrains more strongly to loudness than tempo. Tracks with predictable music structures led to stronger entrainment, supporting the hypothesis that anticipatory mechanisms play a role in cardiovascular synchronisation to music. Future research will investigate personalised music-based BP modulation strategies for patients with hypertension or autonomic dysfunction.
Purpose: This study aims to evaluate the effect of anticipatory mechanisms and music feature modulations on BP entrainment to different music pieces and their performed variations to advance the use of music in cardiovascular therapy.
Methods: Continuous BP was recorded from 92 participants (60 women, mean age 42 (95%CI:39.2-44.6)) while each individual listened to 9 out of a pool of 30 piano tracks [4]. A Bayesian algorithm [5] computationally detected tempo and loudness phrase arc boundaries, which denote arc-like changes in expressive music features and drive listeners' responses. The BP waveform was interpolated to the music’s beat time. Its envelope, computed using the Hilbert transform, was compared with the phrase arc outputs for tempo and loudness.
Results for each track were compared to surrogate data (generated from participants' responses to other tracks) to compute statistical significance. This helps determine whether BP response was influenced by the music rather than expected variation in the individual’s physiology. Paired t-tests compared BP entrainment to loudness vs. tempo. Pearson’s r coefficient assessed relationships between phrase arc statistics and entrainment strength.
Results: In 25 out of 30 tracks, BP entrains more to loudness than tempo, with significantly smaller curve differences (P<5.5e-07). Predictable tracks in the dataset are characterised by having (1) short mean phrase arc lengths with small standard deviations and (2) longer track durations with an increased number of phrase arcs. Increased predictability allows the listener to anticipate phrase changes leading to higher synchronisation. BP entrainment has average r=0.57 and r=0.65 for the mean arc length and standard deviation, and r=-0.66 and r=-0.57 for the number of arcs and track duration. Coupling between BP and tempo is greatest when tempo arcs closely resemble loudness arcs (Fig.1c and 1d) with r=0.87. See Fig.2 for correlations and visualisations.
Conclusion: Blood pressure response entrains more strongly to loudness than tempo. Tracks with predictable music structures led to stronger entrainment, supporting the hypothesis that anticipatory mechanisms play a role in cardiovascular synchronisation to music. Future research will investigate personalised music-based BP modulation strategies for patients with hypertension or autonomic dysfunction.
| Original language | English |
|---|---|
| Journal | European Heart Journal |
| Publication status | Published - 29 Aug 2025 |
| Event | Congress of the European Society of Cardiology - IFEMA Madrid, Madrid, Spain Duration: 29 Aug 2025 → 1 Sept 2025 Conference number: 75 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 4 Quality Education
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SDG 17 Partnerships for the Goals
Keywords
- cardiovascular
- entrainment
- music
- blood pressure
Fingerprint
Dive into the research topics of 'Cardiovascular synchronisation to music : blood pressure entrainment to expressive musical structures'. Together they form a unique fingerprint.Projects
- 2 Finished
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HeartFM: Maximizing the Therapeutic Potential of Music through Tailored Therapy with Physiological Feedback in Cardiovascular Disease
Chew, E. (Primary Investigator)
1/07/2022 → 31/05/2023
Project: Research
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COSMOS: COSMOS: Computational Shaping and Modeling of Musical Structures
Chew, E. (Primary Investigator)
1/07/2022 → 30/11/2025
Project: Research
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Open AccessFile7 Downloads (Pure) -
Cosmodoit: A Python Package for Adaptive, Efficient Pipelining of Feature Extraction from Performed Music
Guichaoua, C., Bedoya, D. & Chew, E., 5 May 2026, arXiv.Research output: Working paper/Preprint › Preprint
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Listeners' baseline autonomic states associated with distinct music-physiology response patterns
Soliński, M., Pope, V., Lambiase, P. & Chew, E., 19 Jan 2026, (E-pub ahead of print) In: European heart journal. Imaging methods and practice. 4, 1, 11 p., qyag013.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Downloads (Pure)
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