Portable System to Automatically Rate Parkinson's Disease Symptom Severity
Collaborators:
Alberto Espay, University of Cincinnati; Peter Lewitt, Clinical Neuroscience Center, Michigan
CleveMed Technologies:
Kinesia™
The major goals of this project are to design, build and clinically assess a home based system for continuous monitoring of Parkinson's disease symptoms and to transmit symptom severity data from a patient's home to a clinician's office.
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