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We discovered new biometrics of Parkinson’s disease that can subtype its severity based on sensory-motor features in relation to the motor output variability of a subject without proprioception. The work was in collaboration with Howard Poizner of UCSD and Jonathan Cole of Poole Hospital in the UK
Originally posted October 23, 2014