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Use of a Low-Cost, Chest-Mounted Accelerometer to Evaluate Transfer Skills of Wheelchair Users During Everyday Activities: Observational Study.

Giulia BarbareschiCatherine HollowayNadia Bianchi-BerthouzeSharon Eve SonenblumStephen H Sprigle
Published in: JMIR rehabilitation and assistive technologies (2018)
The use of a single chest-placed accelerometer shows good predictive accuracy for algorithms applied independently to both transfer evaluation and monitoring. This points to the opportunity for designing ubiquitous-technology based personalized skill development interventions for WU. However, monitoring transfers still require the use of external inputs or extra sensors to identify the start and end of the transfer, which is needed to perform an accurate evaluation.
Keyphrases
  • low cost
  • physical activity
  • machine learning
  • high resolution
  • deep learning
  • electron transfer
  • mass spectrometry