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Assessment of Facial, Vocal, and Limb Tremor Using Machine Learning for Measurement of Treatment Response


In the poster you will learn: 

  • Measurement of tremor induced by disorders such as  Parkinson’s Disease and Essential Tremor can be subjective and have poor inter-rater reliability. Traditional in-person assessments are burdensome for both patients and clinicians.
  • We demonstrate accuracy of machine learning-based methods that can objectively quantify facial, vocal, and hand tremor, along with their validity to track treatment response in patients.