Measurement of Clinical Tremor Using a Computer Vision Model
In this poster you will learn:
- Diagnosis of clinical tremor disorders such as Parkinson’s Disease and Essential Tremor is dependent on in-person clinical assessments that may be subjective and insensitive to small changes, which can affect the development of treatments:
- Clinical trials in movement disorders are complex and have a relatively low success rate. Continued drug development may benefit from the introduction of new technologies to obtain objective and continuous clinical measurement data without the need for in-clinic visits.
- There is a need for an objective and automated method for identifying and measuring clinical tremor in patient populations and how it progresses over the course of treatment
- Such a method would benefit from being low burden on the patient and capable of being delivered remotely so that assessments of tremor can be carried out at regular intervals
- Advancements in computer vision models represent a plausible method to quantify tremor with the use of smartphone cameras as a low burden and remote data capturing tool.
- Here, we demonstrate the ability of computer vision models to accurately measure movement using videos collected and quantify tremor with high accuracy in individuals with Essential Tremor.