Projects per year
Abstract
Time Delay Stability (TDS) can reveal physiological function and states in networked organs. Here, we introduce a novel application of TDS to a musical setting to study interactions between RR intervals of ensemble musicians and a listener, and music properties.
Three musicians performed a movement from Schubert’s Trio Op. 100 nine times in the company of one listener. Their RR intervals were collected during baseline (5 min, silence) and performances (∼10 min each). Loudness and tempo were extracted from recorded music audio. Regions of stable optimal time delay were identified during baseline and music, shuffled data, and data pairs from incongruent recordings. Bootstrapping was employed to obtain mean TDS probabilities (calculated based on all performances).
A significant difference in mean TDS probability between music and baseline was observed for all musician pairs (p < .001) and for cello-listener (p = .025); mean TDS probability was greater during music. A significant decrease in mean TDS probability was observed for piano-violin (p < .001), violin-tempo (p = .045), and cello-tempo (p < .001) for mixed pairs. The highest inter- musician TDS probabilities were observed in musically tense sections: the final climax before the music dies down for the ending and mid piece in a suspenseful swell. This framework offers a promising way to track dynamic RR interval interactions between people engaged in a shared ac- tivity, and, here, between the people and music properties.
Three musicians performed a movement from Schubert’s Trio Op. 100 nine times in the company of one listener. Their RR intervals were collected during baseline (5 min, silence) and performances (∼10 min each). Loudness and tempo were extracted from recorded music audio. Regions of stable optimal time delay were identified during baseline and music, shuffled data, and data pairs from incongruent recordings. Bootstrapping was employed to obtain mean TDS probabilities (calculated based on all performances).
A significant difference in mean TDS probability between music and baseline was observed for all musician pairs (p < .001) and for cello-listener (p = .025); mean TDS probability was greater during music. A significant decrease in mean TDS probability was observed for piano-violin (p < .001), violin-tempo (p = .045), and cello-tempo (p < .001) for mixed pairs. The highest inter- musician TDS probabilities were observed in musically tense sections: the final climax before the music dies down for the ending and mid piece in a suspenseful swell. This framework offers a promising way to track dynamic RR interval interactions between people engaged in a shared ac- tivity, and, here, between the people and music properties.
Original language | English |
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Title of host publication | Proceedings of Computing in Cardiology |
Publisher | IEEE Xplore |
Number of pages | 4 |
Volume | 50 |
ISBN (Electronic) | 979-8-3503-8252-5 |
DOIs | |
Publication status | Published - 21 Oct 2023 |
Event | 50th Computing in Cardiology Conference, CinC 2023 - Atlanta, United States Duration: 1 Oct 2023 → 4 Oct 2023 Conference number: 50 https://cinc2023.org/ |
Conference
Conference | 50th Computing in Cardiology Conference, CinC 2023 |
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Abbreviated title | CinC 2023 |
Country/Territory | United States |
City | Atlanta |
Period | 1/10/2023 → 4/10/2023 |
Internet address |
Keywords
- time delay stability
- ensemble musicians
- RR intervals
- ECG analysis
Fingerprint
Dive into the research topics of 'Time Delay Stability Analysis of Pairwise Interactions Amongst Ensemble-Listener RR Intervals and Expressive Music Features'. Together they form a unique fingerprint.-
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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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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A framework for modeling performers' beat-to-beat heart intervals using music features and Interpretation Maps
Soliński, M., Reed, C. N. & Chew, E., 4 Sept 2024, In: Frontiers in Psychology. 15, p. 1403599 10 p., 1403599.Research output: Contribution to journal › Article › peer-review
Open Access -
Music-based Graph Convolution Neural Network with ECG, Respiration, Pulse Signal as a Diagnostic Tool for Hypertension
Pal, P., Cotic, N., Solinski, M., Pope, V., Lambiase, P. & Chew, E., 23 Oct 2024, (Accepted/In press) Music-based Graph Convolution Neural Network with ECG, Respiration, Pulse Signal as a Diagnostic Tool for Hypertension.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
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Raised Blood Pressure Alters Reactivity to Musical Features
Pope, V., Solinski, M., Lambiase, P. D. & Chew, E., 31 Aug 2024, Raised Blood Pressure Alters Reactivity to Musical Features.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile
Activities
- 1 Invited talk
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Journées d'Informatique Musicale (JIM24): Keynote: Music, Mathematics, and the Heart: A mellifluous mélange
Chew, E. (Speaker)
6 May 2024Activity: Talk or presentation › Invited talk