Epidermal Graphene Sensors and Machine Learning for Estimating Swallowed Volume
Abstract
Assessment of liquid intake is necessary to obtain a complete picture of an individual’s hydration status. Measurements using state-of-the-art wearable devices have been demonstrated, but none of these devices have combined high sensitivity, unobtrusiveness, and automated estimation of volume, i.e., using machine learning. Such a capability would have immense value in a variety of medical contexts, such as monitoring patients with dysphagia or...
Paper Details
Title
Epidermal Graphene Sensors and Machine Learning for Estimating Swallowed Volume
Published Date
Aug 2, 2021
Journal
Volume
4
Issue
8
Pages
8126 - 8134
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