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Programming and Control of Rapid Robotic Assessments for Hand Rehabilitation After Stroke
Stroke survivors suffering from hand impairment are often severely limited in the execution of activities of daily living. A haptic device, the ReHapticKnob (RHK), has been developed for hand and wrist rehabilitation in stroke survivors. In this project, new assessments will be developed in Unity.
The RHK can render a wide range of impedances thanks to its design concept and state of the art interaction control algorithms. The device is capable of rendering different virtual objects with high haptic fidelity. Several exercises based on the neurocognitive therapy concept have been implemented to train and assess hand sensorimotor function in stroke survivors. The current set of robotic assessments is based on PEST (parameter estimation by sequential testing) and take up to 20 minutes per exercise to be executed. The assessed values (e.g., minimal detectable difference in length discrimination or stiffness discrimination) are used to calibrate the initial difficulty level of the therapy exercises and adapt the exercises to the patient ability level. The candidate will work on improving the current assessment to make them more rapid by modifying the assessment algorithm or metrics. Then, the candidate will work on programming the assessment in Unity (C#), and on the control of the robot in Labview.
The RHK can render a wide range of impedances thanks to its design concept and state of the art interaction control algorithms. The device is capable of rendering different virtual objects with high haptic fidelity. Several exercises based on the neurocognitive therapy concept have been implemented to train and assess hand sensorimotor function in stroke survivors. The current set of robotic assessments is based on PEST (parameter estimation by sequential testing) and take up to 20 minutes per exercise to be executed. The assessed values (e.g., minimal detectable difference in length discrimination or stiffness discrimination) are used to calibrate the initial difficulty level of the therapy exercises and adapt the exercises to the patient ability level. The candidate will work on improving the current assessment to make them more rapid by modifying the assessment algorithm or metrics. Then, the candidate will work on programming the assessment in Unity (C#), and on the control of the robot in Labview.
The goal of this project is to
- evaluate if new assessment metrics should be defined based on data analysis of previously recorded data,
- make the assessment algorithms more rapid
- program the new assessments in Unity (in C#) and control them on the robot using Labview.
The goals will be further specified during the interview.
The goal of this project is to
- evaluate if new assessment metrics should be defined based on data analysis of previously recorded data,
- make the assessment algorithms more rapid
- program the new assessments in Unity (in C#) and control them on the robot using Labview.
The goals will be further specified during the interview.
- Data analysis to identify if it is necessary to introduce new assessment metrics (20%)
- Design, implementation, and control of several VR exercises (40%)
- Test of the exercises (20%)
- Report and presentation (20%)
- Data analysis to identify if it is necessary to introduce new assessment metrics (20%) - Design, implementation, and control of several VR exercises (40%) - Test of the exercises (20%) - Report and presentation (20%)
- Experience in C/C# programming is mandatory.
- Experience with Matlab and data analysis
- Basic (impedance) control knowledge.
- Prior experience with Unity and Labview is advantageous.
- Independent worker.
- Experience in C/C# programming is mandatory. - Experience with Matlab and data analysis - Basic (impedance) control knowledge. - Prior experience with Unity and Labview is advantageous. - Independent worker.