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Counting Grasping Action Using Force Myography: An Exploratory Study With Healthy Individuals.

Zhen Gang XiaoCarlo Menon
Published in: JMIR rehabilitation and assistive technologies (2017)
This study reports that grasping can reliably be counted using an unobtrusive and simple FMG strap even in the presence of arm movements. Such a result supports the foundation for future research evaluating the feasibility of monitoring hand grasping during unsupervised ADL, leading to further investigations with individuals with motor function deficits of the arm.
Keyphrases
  • machine learning
  • traumatic brain injury
  • single molecule
  • emergency department
  • adverse drug
  • electronic health record