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Machine Learning-based Measurement of Vocal Tremor: Methods and Clinical Validation

 

In this poster you will learn: 

  • The presence and degree of vocal tremor is a marker of disease severity in multiple neurological insults and disorders. However, the clinical assessment of vocal tremor relies on subjective, burdensome, and infrequent assessment methodologies.
  • Digital measurement of vocal tremor has the potential to increase sensitivity and frequency of assessment while reducing cost and burden.
  • We demonstrate accuracy of machine learning-based methods that can objectively quantify vocal tremor along with their validity to track treatment response in patients.