Do you work with (or are interested in) wearable sensor data in PD? Have you encountered challenges deriving insights from real-life data? If so, please join us for our next webinar on Thursday, April 30th, 1:00pm-2:00pm (EDT) as Dr. Luc Evers and PhD candidate Erik Post present on work they’ve developed at the Center of Expertise for Parkinson and Movement Disorders, Radboud University Medical Center (Nijmegen, NL).
Wearable sensors offer exciting opportunities to study Parkinson’s disease in daily life, but turning real-life, high-frequency sensor data into reliable and meaningful measures can be challenging. To help researchers tackle this challenge, Dr. Evers and Erik developed ParaDigMa - an open-source, device-agnostic Python toolbox with validated pipelines to quantify tremor, arm swing during gait and autonomic changes from continuous, wrist sensor data. In this webinar, they will demonstrate its key functionalities, and walk you through how you can use it with your own sensor data.
If you are interested in attending, please reply to this post and we will add you to the calendar invite. If you have other colleagues who are not currently members of this community, please feel free to forward them this post or send their contact information to us (researchcommunity@michaeljfox.org).
Do you have ideas or suggestions for other webinar topics you would like to see? Let us know by leaving your thoughts in this thread: Seeking Webinar Ideas and Requests from the Community.
We hope you join us!
The webinar recording will be made available early this week, after which I’ll share the link in this thread!