SoundKeepers aims to help identify subsyndromal depression through voice samples in a pioneering study
In an innovative approach to addressing mental health in seniors, a new programme, SoundKeepers, aims to detect early signs of depression by analyzing voice patterns. This three-year study leverages artificial intelligence (AI) to help identify subsyndromal depression (SSD) in seniors aged 55 and above, a condition marked by mild depressive symptoms that are not severe enough for a diagnosis of major depression.
The Programme’s Approach
Researchers are recruiting over 600 seniors from Hougang and Woodlands to provide voice samples, which will be used to develop an AI algorithm capable of detecting SSD. Through the analysis of voice pitch, tone, and speech patterns, the programme aims to identify physiological changes in the muscles involved in voice production that often correlate with mental health deterioration.
Significance of SSD
While SSD often goes unnoticed due to the mildness of its symptoms, research has shown that around 13.4% of seniors over 60 experience it. However, this figure may be underreported, as it relies heavily on self-reported data. The SoundKeepers programme seeks to overcome this challenge by offering an easily accessible tool that can help with early detection and intervention.
Dr. Mythily Subramaniam from the Institute of Mental Health emphasized that SSD is rarely diagnosed or treated effectively, and the focus on early detection in this programme is a crucial step in improving care for seniors.
How the AI Tool Works
Using AI, primary care physicians can quickly assess a senior’s mental health without requiring extensive questioning, which could be distressing for elderly patients. By collecting at least 630 voice samples, the researchers aim to develop a robust AI tool that can detect SSD by analyzing acoustic properties linked to stress, anxiety, and insomnia, common symptoms in those with depression.
Impact on Mental Health Care for Seniors
The programme also includes a 24-week intervention programme for participants identified with SSD. This initiative will involve psychoeducation, social activities, and support services to enhance emotional resilience and improve social connections among seniors.
Ultimately, SoundKeepers aims to complement existing mental health screenings, providing healthcare professionals with additional tools for identifying mental health issues in seniors. By focusing on voice biomarkers, the programme introduces a promising new method for monitoring mental health, which could revolutionize the way mental health care is approached for older adults.
