Ignite Creation Date:
2025-12-18 @ 8:15 AM
Ignite Modification Date:
2025-12-18 @ 8:15 AM
Study NCT ID:
NCT05956223
Status:
None
Last Update Posted:
2025-04-20 00:00:00
First Post:
2023-05-22 00:00:00
Is Possible Gene Therapy:
False
Has Adverse Events:
False
Brief Title:
The Development of a System for Measurement of Tremor
Sponsor:
None
Organization:
Study Overview
Official Title:
The Development of a System for Measurement of Tremor
Status:
None
Status Verified Date:
2025-04
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
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.
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.
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?: