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AI & Wearable Stress Detection in Care

AI & Wearable Stress Detection in Care

How Electrodermal Activity (EDA) Wearables Could Revolutionize Stress Monitoring

Introduction:

Stress isn’t just a passing feeling—it has measurable physiological effects, particularly for people with intellectual disabilities, dementia, and chronic health conditions. But how do we track and manage it effectively?

A recent scoping review explores the growing field of wearable devices that measure Electrodermal Activity (EDA) to assess perceived stress. These biosensors, often worn as wristbands, detect subtle electrical changes in the skin that correlate with stress levels—offering a potential breakthrough for real-time stress management, behavioral interventions, and proactive care.

Key findings suggest that machine learning (ML) and AI-driven models can accurately predict stress-related behaviors before they escalate, paving the way for personalized, data-driven stress management solutions. However, more research is needed to apply these technologies outside the lab and into real-world caregiving settings.

At aXai, we are integrating AI-powered stress detection into My Voice and aXBot, ensuring proactive support and intervention for people who experience stress-related escalations.

Technology should work with people, not against them.