Epidermal Graphene Sensors and Machine Learning for Estimating Swallowed Volume

Volume: 4, Issue: 8, Pages: 8126 - 8134
Published: Aug 2, 2021
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
Volume
4
Issue
8
Pages
8126 - 8134
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.