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Reaching movements are often used to study the effectiveness of motor control processes with respect to the final position of arm and hand. Empirical evidence shows that different targets can be grasped with similar final position accuracy. However, movements that achieve similar accuracy at their final position may nevertheless be controlled differently.(More)
A platform design for the analysis of human myoelectric signals (MES) is presented. Offline recorded multichannel signals of forearm muscles are processed with a Field Programmable SoC in order to classify different movement patterns to control human-assisting electromechanical systems with multiple degrees of freedom (e.g. a prosthetic hand). Benchmark(More)
The design and proof of concept implementation of a biomedical measurement device specifically targeting human wrist movements is presented. The key aspects of development are the integrated measurement of wrist kinematics and lower arm muscle activities, wireless operation and the possibility of realtime data streaming. The designed system addresses these(More)
Synergistic control of the effector space allows high precision in task-relevant degrees of freedom, while noise is limited to task-irrelevant degrees of freedom. The present study investigates whether this typical structure of the variance–covariance matrix of the joint angles during manual tracking differs between familiar and unfamiliar trajectories.(More)
BACKGROUND Model based analysis of human upper limb movements has key importance in understanding the motor control processes of our nervous system. Various simulation software packages have been developed over the years to perform model based analysis. These packages provide computationally intensive-and therefore off-line-solutions to calculate the(More)
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