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Disease-Specific Wearable Sensor Algorithms for Profiling Activity, Gait, and Balance in Individuals with Charcot-Marie-Tooth Disease Type 1A.

Karthik DineshN WhiteL BakerJ E SowdenS Behrens-SpragginsE WoodJ CharlesD N HerrmannG SharmaKaty J Eichinger
Published in: Journal of the peripheral nervous system : JPNS (2023)
In this initial study, gait and balance metrics derived from wearable sensors were reliable and associated with COAs in individuals with CMT1A. Larger longitudinal studies are needed to confirm our findings and evaluate sensitivity and utility of these disease-specific algorithms for clinical trial use.
Keyphrases
  • clinical trial
  • machine learning
  • randomized controlled trial
  • deep learning
  • heart rate
  • open label
  • double blind