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The goal of this clinical trial is to develop a system which can be used to measure movements in people with Essential Tremor (with or without dystonia).
The main questions it aims to answer are:
Full description
This study aims to develop a way of objectively measuring the neurological disorders, Essential Tremor (ET) and dystonia. These conditions can affect the upper and lower limbs, head, voice, face and trunk. ET and dystonia can be difficult to assess and treat, particularly if severe, and therapies are limited.
Currently the severity of these conditions is formally assessed by clinician rated scales such as the Essential Tremor Rating Assessment Scale (TETRAS) which is biased towards the upper limbs, requires training and is not objective. There is a need for a more precise, less variable measure of tremor that can used easily be non-expert clinicians. This study questions whether it is possible to quantify ET and dystonia using a measurement system in a virtual reality (VR) environment.
Data will be collected from measurement sensors embedded in the VR environment from healthy control participants, and those with ET with and without dystonia. Participants will be placed in a VR environment and instructed to perform the TETRAS. This will help to develop an algorithm which can measure ET severity using machine learning. It is expected that the algorithm will provide a better assessment of ET and dystonia than the TETRAS. This study may pave the way towards the development of simpler devices to which the algorithm can be applied.
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Inclusion and exclusion criteria
Inclusion Criteria - Control participants
Exclusion Criteria -Control participants
Inclusion Criteria - ET participants
Exclusion Criteria - ET Participants
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Interventional model
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43 participants in 1 patient group
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Central trial contact
Sarah Osborn
Data sourced from clinicaltrials.gov
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