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Open access Sep 2026

Severity of depression and anxiety symptoms is reflected in physiological and behavioral metrics collected from a consumer-grade wearable ring

Modern wearable devices generate a multitude of digital metrics, which can be used to measure human function in health and disease. This study investigated whether and how digital metrics generated from a consumer-grade smart ring were different in individuals with varying severity of depression and anxiety symptoms in...

S. Azadifar, A. Sameh, L. Nauha et al. · 0 citations
Open access Aug 2026

Wearable Prompt: In-Context Learning for Depression and Anxiety Prediction from Consumer Smart Ring Metrics

It is suggested that lightweight LLMs can use in-context examples to better interpret structured wearable summaries and possibly provide a scalable direction for mental health prediction from consumer wearable data in combination with pre-trained LLMs.

S. Azadifar, A. Sameh, M. Niemela et al. · 0 citations

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