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An Algorithm to Classify Real-World Ambulatory Status From a Wearable Device Using Multimodal and Demographically Diverse Data: Validation Study.

Sara PophamMaximilien BurqErin E RainaldiSooyoon ShinJessilyn P DunnRitu Kapur
Published in: JMIR biomedical engineering (2023)
Our algorithm can accurately classify ambulatory status with a wrist-worn device in real-world settings with generalizability across demographic subgroups. The validated algorithm can effectively quantify users' walking activity and help researchers gain insights on users' health status.
Keyphrases
  • machine learning
  • deep learning
  • blood pressure
  • neural network
  • big data
  • electronic health record
  • pain management
  • artificial intelligence
  • lower limb
  • chronic pain