Hand assessment with the PowerGlove: towards application in Parkinson’s disease patients during Deep Brain Stimulation implantation

Hand assessment with the PowerGlove: towards application in Parkinson’s disease patients during Deep Brain Stimulation implantation

Background and problem statement

Parkinson’s disease is a movement disorder characterized by tremor, muscle rigidity and a slowing and loss of physical movement. A novel treatment of Parkinson’s disease is deep brain stimulation (DBS). An electrode placed in the brain electrically stimulates a small area of the brain continuously. Assessment of the hand is very important prior, during and after DBS implantation surgery. It is clinically scored using e.g. the Unified Parkinson's Disease Rating Scale (UPDRS).

Recently, in the PowerSensor project new sensors (inertial and magnetic) have been developed that are applied in a PowerGlove to measure movement of the hand and fingers, and the interaction between the hand and environment in terms of forces and moments.

Application of this PowerGlove during DBS implantation surgery will enable more accurate measure of hand function and quantification of the Parkinson’s disease motor symptoms. Therefore, important outcome parameters that are related to the UPDRS need to be defined.

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Assignment

The objective of this study is to develop and test a measurement protocol for hand assessment using the PowerGlove, that can be applied in Parkinson patients during DBS implantation, to quantify Parkinson’s disease motor symptoms.

This includes:

- Selection of movement tasks that are relevant for hand assessment in Parkinson, based on e.g. the UPDRS

- Experiments in healthy subjects with the PowerGlove aiming to evaluate the defined tasks in terms of feasibility, reliability, accuracy and outcome parameters

Components

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Literature study

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Experiments in healthy subjects

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Data Analysis of the PowerGlove

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Thesis writing

Educational program

BSc/MSc TG/BMT

Research theme

From Neural Circuit Behaviour to Human Sensory-Motor Function

Principal Investigator track

Ciska Heida:

Central motor control

Peter H. Veltink: Sensing and Control of Human Movement

Supervision and info

Kees van Dijk

Josien van den Noort

Ciska Heida

Peter Veltink