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Challenges and Opportunities in Collecting and Modeling Ambulatory Electrodermal Activity Data.

Donna L CoffmanXizhen CaiRunze LiNoelle R Leonard
Published in: JMIR biomedical engineering (2019)
The algorithms we developed can be used to construct features for dry-electrode ambulatory EDA, which can be used by other researchers to study stress and anxiety.
Keyphrases
  • blood pressure
  • machine learning
  • deep learning
  • big data
  • sleep quality
  • depressive symptoms