The Parkinson’s Disease Digital Biomarker DREAM Challenge uses mobile sensor data to identify aspects of Parkinson’s disease severity based on measurements of movement 

Recent advances in mobile health have demonstrated great potential to leverage sensor-based technologies for remote monitoring of health and disease – particularly for diseases affecting motor function such as Parkinson’s. While there are many projects that have successfully collected sensor data from people in the real-world setting, researchers still have a poor understanding of what the data can tell us about health.

To identify the best methods for processing mobile sensor data, DREAM Challenges and Sage Bionetworks with support from the Robert Wood Johnson and Michael J. Fox Foundations have launched the Parkinson’s Disease Digital Biomarker DREAM Challenge. Using data collected through two Parkinson’s Disease mobile research studies, the goal of this challenge is to determine how best to use and mine mobile sensor data in order to distinguish gait and motor differences between Parkinson’s Disease patients and controls.

Are you a data scientist with expertise in signal processing or have an interest in mobile health research? Register to join the DREAM Challenge and help researchers identify better ways to use smartphones and remote sensing devices to monitor health and disease. The winning researcher teams with the best methods for processing sensor data will share the $25,000 prize.

• PD Digital Biomarker DREAM Challenge Press Release
• MJFF Foxfeed Blog – an interview with Dr. David Levine