Automated assessment of balance: a neural network approach based on large-scale balance function data

HIGHLIGHTS

• who: Jianhuang Wu and Jing Tao from the Technion Institute of Texas AandM University, United States have published the paper: Automated assessment of balance: A neural network approach based on large-scale balance function data, in the Journal: (JOURNAL)
• what: The authors aim at building a balance assessment model based on the data-driven machine_learning techniques. The research of balance ability has always been the focus of some scholars . The authors propose the method to assess the balance ability efficiently and accurately, which can predict the risk of falling. The main reason for this is . . .
  

   

  

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