It has been shown that patients with Parkinson's disease (PD) have impaired kinaesthesia and haptic perception of the upper limbs. In PD patients, these impairments might be involved in the development of hypometria or bradykinesia and may play a role in postural deficits, thereby significantly contributing to the overall disability level. Dedicated conventional or robot-assisted training might improve sensory-motor function in PD patients. In order to provide efficient robot-assisted therapy, robotic devices have to be able to tailor the therapy difficulty to the individual impairment profile of each patient. For difficulty adaptation in robot-assisted therapy, it is important to assess the impairment profiles with the same robotic platform that would be used for therapy, therefore minimizing costs or potential errors coming from the use of different devices. However, up to now, little emphasis has been placed on providing sensory-motor robot-assisted therapy for the upper limbs to persons with PD based on their individual level of impairment. The aim of this study is therefore to evaluate if the assessments of sensory-motor hand function implemented on a robotic device for hand rehabilitation, i.e. the ReHapticKnob, are suitable to measure the impairments of kinaesthesia and haptic perception observed in subjects with Parkinson's disease. If the assessments implemented in the ReHapticKnob are sensitive enough to detect a difference between the sensory-motor function of PD patients and healthy subjects, the device might in the future be used to assess improvements before and after sensory-motor therapy. This is a necessary step before the investigators can use these assessments to tailor the difficulty level of the therapy performed with the ReHapticKnob and to investigate the benefits and impact of such a therapy on the kinaesthetic and haptic impairments of persons with PD.
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Detection threshold resulting from the assessment of detection of passive grasping movements - Right hand
Timeframe: Through study completion, an average of 2 weeks
Detection threshold resulting from the assessment of detection of passive grasping movements - Left hand
Timeframe: Through study completion, an average of 2 weeks
Detection threshold resulting from the assessment of detection of passive forearm pronosupination movements - Right forearm
Timeframe: Through study completion, an average of 2 weeks
Detection threshold resulting from the assessment of detection of passive forearm pronosupination movements - Left forearm
Timeframe: Through study completion, an average of 2 weeks
Discrimination threshold resulting from the assessment of just noticeable difference for grasping positions - Right hand
Timeframe: Through study completion, an average of 2 weeks
Discrimination threshold resulting from the assessment of just noticeable difference for grasping positions - Left hand
Timeframe: Through study completion, an average of 2 weeks
Discrimination threshold resulting from the assessment of just noticeable difference for pronosupination positions - Right forearm
Timeframe: Through study completion, an average of 2 weeks
Discrimination threshold resulting from the assessment of just noticeable difference for pronosupination positions - Left forearm
Timeframe: Through study completion, an average of 2 weeks
Discrimination threshold resulting from the assessment of haptic perception - Right hand
Timeframe: Through study completion, an average of 2 weeks
Discrimination threshold resulting from the assessment of haptic perception - Left hand
Timeframe: Through study completion, an average of 2 weeks