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Auto detection and segmentation of daily living activities during a Timed Up and Go task in people with Parkinson's disease using multiple inertial sensors.

Hung NguyenKarina LebelPatrick BoissySarah BogardEtienne GoubaultChristian Duval
Published in: Journal of neuroengineering and rehabilitation (2017)
This study demonstrates the agility and transferability of using a system of IMUs to accurately detect and segment activities in daily living in people with movement disorders.
Keyphrases
  • physical activity
  • deep learning
  • real time pcr
  • label free
  • quantum dots