Wifreeze: multiresolution scalograms for freezing of gait detection in parkinson’s leveraging 5g spectrum with deep learning

HIGHLIGHTS

• who: Ahsen Tahir et al. from the School of Computing, Engineering and Built Environment, Glasgow Caledonian University, Glasgow , BA have published the research: WiFreeze: Multiresolution Scalograms for Freezing of Gait Detection in Parkinson's Leveraging 5G Spectrum with Deep Learning, in the Journal: (JOURNAL)
• what: The research demonstrates that FOG generates different CSI amplitude variations than the voluntary stop, sitting-standing, and walking fast and slow, which can be utilized for classification of FOG from other activities. The aim of this research is to detect FOG from ADLs and the system performs very well in . . .
  

   

  

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

  Thanks :)

  Username or E-mail:

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