Have you been interested in integrating wearable or mobile app data into your analysis projects? If so, we hope that you will join our next community webinar! On Tuesday, May 27th, 12:00-1:00 pm New York (EDT)*, Dr. George Roussos (@roussos) of Birkbeck College, University of London, will be giving an overview of PDkit, a Python-based open source data science toolkit to support data-driven systems using smartphones and wearables.
Developed by Dr. Roussos’ team and supported by the Michael J. Fox Foundation, PDkit leverages wearables and mobile app data to support longitudinal investigations of disease mechanisms and progression. PDkit serves as an open source and scalable toolkit for high-frequency assessment of PD symptoms. You can read more in Dr. Roussous’ recent post.
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 also forward the following call-in link or send their contact information to us (researchcommunity@michaeljfox.org).
Hi all, please note that this webinar has been rescheduled from its original date in April to Tuesday, May 27th, 12:00pm-1:00pm New York (EDT). We apologize for any inconvenience, and we hope you can join us!
Hi everyone, just a reminder that this event is happening at 12pm EST today! You can join via this link or drop a note below and we’ll add you to the calendar invite. See you in a bit!
Thank you to everyone who attended, and a special thanks to @roussos for a great talk! We hope highlighting tools like this will help researchers in the Parkinson’s space in their current and future work.
Many thanks to all who attended and for the great discussion.
And just to re-iterate that we are ken to support anyone wanting to use PDkit in their work in any manner possible e.g. assisting to input datasets, showing how to implement relevant processing pipelines or anything else that could be useful. Just reach out and would be happy to discuss details.