RadioMe: an automated home-based radio, music playlist, and diary reminder system: Report on recruitment, music compilation, and listening, and preliminary testing of heart rate activated music

The music compilation process enabled the creation of bespoke playlists. Sessional HR and video data had limited utility in supporting the suitability of music for NPS management. The methodology for collecting agitation data from participants failed, and the algorithm was not refined. Researchers compiled playlists with 25 people living with dementia, with a mean age of 73.8 years (<i>n</i> = 12 men, 13 women). Ten participants had systems installed to test automated music activation. They found it too complex; system calibration was not sensitive enough, music played at random times, and it became repetitive. The system needs extensive refinement to simplify its operation. The activation of the music needs to be better calibrated. A feasible and effective method of gathering data from participants in their homes is required to refine the algorithm, which must include HR/biodata during milder NPS events, as participants reported these to be more in line with their symptoms.

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Publication Details

Journal
Frontiers in Psychology
Published
2025-10-24
DOI
https://doi.org/10.3389/fpsyg.2025.1627466
Primary Topic
Music Therapy and Health
Type
article
Field-Weighted Citation Impact
0.00

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article

RadioMe: an automated home-based radio, music playlist, and diary reminder system: Report on recruitment, music compilation, and listening, and preliminary testing of heart rate activated music

Stephen Brewster, Эдуардо Миранда, Alexander Street, Nicolas Farina et al.
Frontiers in Psychology
Music Therapy and Health
article

RadioMe: an automated home-based radio, music playlist, and diary reminder system: Report on recruitment, music compilation, and listening, and preliminary testing of heart rate activated music

Stephen Brewster, Эдуардо Миранда, Alexander Street, Nicolas Farina, Ming‐Hung Hsu, Sube Banerjee, Alexis Kirke, Hari Shaji, Patrizia Di Campli San Vito, Jörg Fachner, Paulo Vitor Itaboraí, Paul Fernie, Leonardo Muller
article en

Abstract

The music compilation process enabled the creation of bespoke playlists. Sessional HR and video data had limited utility in supporting the suitability of music for NPS management. The methodology for collecting agitation data from participants failed, and the algorithm was not refined. Researchers compiled playlists with 25 people living with dementia, with a mean age of 73.8 years (<i>n</i> = 12 men, 13 women). Ten participants had systems installed to test automated music activation. They found it too complex; system calibration was not sensitive enough, music played at random times, and it became repetitive. The system needs extensive refinement to simplify its operation. The activation of the music needs to be better calibrated. A feasible and effective method of gathering data from participants in their homes is required to refine the algorithm, which must include HR/biodata during milder NPS events, as participants reported these to be more in line with their symptoms.

Frontiers in PsychologyVol. 16
University of Nottingham (GB), Anglia Ruskin University (GB), University of Glasgow (GB), University of Plymouth (GB)
Engineering and Physical Sciences Research Council
Openalex Percentile: Top 65%
Music Therapy and Health
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