Automated music therapy for anxiety and depression management in older people (AMITY)

Malik Faizan, P. J. White, Indrakshi Dey

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationEU-CONEXUS EENVIRO Research Conference
PublisherEU-CONEXUS EENVIRO Research Conference
Volume608
DOIs
Publication statusPublished - 03 Oct 2024
Event9th Conference of the Sustainable Solutions for Energy and Environment, EENVIRO 2024 - Bucharest, Romania
Duration: 28 Oct 202401 Nov 2024

Publication series

NameE3S Web of Conferences
PublisherEDP Sciences
ISSN (Print)2555-0403

Conference

Conference9th Conference of the Sustainable Solutions for Energy and Environment, EENVIRO 2024
Country/TerritoryRomania
CityBucharest
Period28/10/202401/11/2024

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