Wearable airbag technology and machine learned models to mitigate falls after stroke

HIGHLIGHTS

• who: Olivia K. Botonis from the Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL, USA have published the research: Wearable airbag technology and machine learned models to mitigate falls after stroke, in the Journal: (JOURNAL) of 13/Oct/2021
• what: The authors explore secondary considerations for model development, including dataset activity composition, severity of gait impairments across users, and lead time parameter tuning. The authors investigate the importance of population-specific models to detect falls in stroke by purposefully altering model-dependent training data sets and analyzing the consequent effects on performance. For . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.