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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 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