Extracting Digital Biomarkers from Smartphone Sensors for Assessing Parkinson Symptoms

Ulm University

Parkinson’s disease (PD) is a neurodegenerative disease that can affect a person’s movement, speech, dexterity, and cognition. Physicians primarily diagnose Parkinson’s disease by performing a clinical assessment of symptoms. One factor that contributes to misdiagnoses is that the symptoms of Parkinson’s disease may not be prominent during the clinical assessment. Furthermore, the clinical assessments can be cumbersome and subjective. We have developed a mobile app that integrates several tests using integrated sensors. We have recorded high resolution data from PD patients to investigate in detail the performance these tests.

The goal of this work is to analyse the sensor data, extract salient information, and develop algorithms to automate this process so it can be integrated into future devices.

Contact

Walter Karlen

How to apply

To apply for a project, please contact the responsible person via email with your name, email, study field and semester. Please also attach in pdf format your

  • short CV (~1 page),
  • transcripts,
  • previous project reports (if available),
  • and a short motivation (1 paragraph) why this would be the right project for you.

We will then contact you and work out a detailed project description and a learning agreement that are best suitable for you.

We are looking forward working with you!