Abstract
To the Editor: Currently, itch is evaluated primarily through subjective surveys. Technologies used as objective measures of scratching, the natural reflex to itch, show variable levels of performance.1 We recently reported the development of an advanced acoustomechanic wearable sensor (ADAM) that is able to detect acoustomechanic signals generated by scratching via the fingers or wrist in a pediatric cohort with atopic dermatitis (AD), with high accuracy.2 Herein, we report the development of a new AI-algorithm that accurately quantifies scratching behavior and key sleep metrics on a single wearable device for adults with AD.
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