Automated music therapy for anxiety and depression management in older people (AMITY)
The onset of old age is often accompanied by various physiological and mental changes, with anxiety and depression being prevalent mental health disorders that can exacerbate other medical conditions and significantly reduce life expectancy. Despite the growing need for effective treatment, the glob...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2025-01-01
|
Series: | E3S Web of Conferences |
Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_03002.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832098416217292800 |
---|---|
author | Faizan Malik White P.J. Dey Indrakshi |
author_facet | Faizan Malik White P.J. Dey Indrakshi |
author_sort | Faizan Malik |
collection | DOAJ |
description | The onset of old age is often accompanied by various physiological and mental changes, with anxiety and depression being prevalent mental health disorders that can exacerbate other medical conditions and significantly reduce life expectancy. Despite the growing need for effective treatment, the global shortage of mental health professionals, coupled with an ageing population and limited public awareness, has resulted in these disorders frequently going undiagnosed and untreated. Music therapy has emerged as a promising alternative for addressing the psychological, emotional, and cognitive needs of individuals, particularly older people. This paper proposes a novel approach for real-time monitoring of anxiety and depression symptoms using low-complexity body sensors. By employing automated, personalised music therapy based on the collected data, this system offers a scalable solution to enhance mental health care accessibility. It reduces the reliance on mental health professionals while providing tailored therapeutic interventions, thereby contributing to improved mental well-being and addressing the gap in mental health care services for the elderly population. |
format | Article |
id | doaj-art-6988048184be445389f7b17a2332a873 |
institution | Kabale University |
issn | 2267-1242 |
language | English |
publishDate | 2025-01-01 |
publisher | EDP Sciences |
record_format | Article |
series | E3S Web of Conferences |
spelling | doaj-art-6988048184be445389f7b17a2332a8732025-02-05T10:49:33ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016080300210.1051/e3sconf/202560803002e3sconf_eenviro2024_03002Automated music therapy for anxiety and depression management in older people (AMITY)Faizan Malik0White P.J.1Dey Indrakshi2Walton Institute, Southeast Technological UniversityDesignCORE, Southeast Technological UniversityWalton Institute, Southeast Technological UniversityThe onset of old age is often accompanied by various physiological and mental changes, with anxiety and depression being prevalent mental health disorders that can exacerbate other medical conditions and significantly reduce life expectancy. Despite the growing need for effective treatment, the global shortage of mental health professionals, coupled with an ageing population and limited public awareness, has resulted in these disorders frequently going undiagnosed and untreated. Music therapy has emerged as a promising alternative for addressing the psychological, emotional, and cognitive needs of individuals, particularly older people. This paper proposes a novel approach for real-time monitoring of anxiety and depression symptoms using low-complexity body sensors. By employing automated, personalised music therapy based on the collected data, this system offers a scalable solution to enhance mental health care accessibility. It reduces the reliance on mental health professionals while providing tailored therapeutic interventions, thereby contributing to improved mental well-being and addressing the gap in mental health care services for the elderly population.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_03002.pdf |
spellingShingle | Faizan Malik White P.J. Dey Indrakshi Automated music therapy for anxiety and depression management in older people (AMITY) E3S Web of Conferences |
title | Automated music therapy for anxiety and depression management in older people (AMITY) |
title_full | Automated music therapy for anxiety and depression management in older people (AMITY) |
title_fullStr | Automated music therapy for anxiety and depression management in older people (AMITY) |
title_full_unstemmed | Automated music therapy for anxiety and depression management in older people (AMITY) |
title_short | Automated music therapy for anxiety and depression management in older people (AMITY) |
title_sort | automated music therapy for anxiety and depression management in older people amity |
url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/08/e3sconf_eenviro2024_03002.pdf |
work_keys_str_mv | AT faizanmalik automatedmusictherapyforanxietyanddepressionmanagementinolderpeopleamity AT whitepj automatedmusictherapyforanxietyanddepressionmanagementinolderpeopleamity AT deyindrakshi automatedmusictherapyforanxietyanddepressionmanagementinolderpeopleamity |