Abstract
Purpose: Reach-to-grasp is an important functional movement used in many activities of daily life. Knowledge of the kinematics of reach-to-grasp is essential to aid our understanding of the deficits that arise during upper limb impairment, for example, following a stroke. A better understanding of these impairments could aid the development of novel therapies and an effective way of measuring specific motor deficits could help target treatment to improve rehabilitation. Currently there are no methods available for measuring reach-to-grasp that could be easily used clinically. In this study a novel device developed by Axxonet, the Clasp1.0 Neurofeedback Glove, containing multiple accelerometers, gyroscopes and digit flex sensors was tested to identify whether it could be used to measure the known components of reach-to-grasp, and whether differences in these could be detected when the task was varied.
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