PARK: Parkinson's Analysis with Remote Kinetic-tasks
This work addresses the need for improved global access to neurological care, particularly for Parkinson's disease screening, though it appears incremental as it applies existing methods to a new remote application.
The authors tackled the problem of screening for Parkinson's disease by developing a web-based framework that allows users to perform neurological tests at home, analyzing speech, facial expression, and finger movements from videos to classify signs of PD, with results presented accessibly and including personalized resources.
We present a web-based framework to screen for Parkinson's disease (PD) by allowing users to perform neurological tests in their homes. Our web framework guides the users to complete three tasks involving speech, facial expression, and finger movements. The task videos are analyzed to classify whether the users show signs of PD. We present the results in an easy-to-understand manner, along with personalized resources to further access to treatment and care. Our framework is accessible by any major web browser, improving global access to neurological care.