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International Parkinson and Movement Disorder Society
Main Content

BIPBIP

Target population: Patients with Parkinson's Disease 

Measures:  Gait / Mobility 

Clinical support:  Monitoring, Prediction 

BIPBIP is intended to: 
- collect movement patterns by wearables (accelerometers) 
- allow medical staff to easily label collected data as FOG, pre-FOG, no-FOG events 
- train classifiers in detecting pre-freezing phases 
- generate tactile stimuli when FOG is going to occur 
 


Languages:  English 

Platform:  Mobile Phone (Android), Wearable Sensor 

User interfaces:  Research study personnel, Doctors 

Additional Features:

  • One subject per app 
  • Can generate database
  • Control data available
  • Free support for usage/test-setting/analysis
  • Data stored in an internal server at University of Verona. University owns input data. 

 


For more information:
Graziano Pravadelli 
graziano.pravadelli@univr.it 

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