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Objectives: The evidence regarding the improved outcome and patient satisfaction following robot assisted surgery for TKA and UKA remains inconsistent, especially when compared to conventional techniques for these interventions. This study aims to report and analyze the short-term outcomes after [for full text, please go to the a.m. URL]

Fragestellung: Rückenschmerzen sind ein weitverbreitetes, oft unspezifisches Leiden in der Gesellschaft. Eine häufige Therapieform ist die Stärkung der Rumpfmuskulatur durch Balance-Training. Um das Training auf der Balanceplattform noch spezifischer auf die Rumpfmuskulatur zu fokussieren, [zum vollständigen Text gelangen Sie über die oben angegebene URL]

This paper presents a novel mechatronic exoskeleton architecture for finger rehabilitation. The system consists of an underactuated kinematic structure that enables the exoskeleton to act as an adaptive finger stimulator. The exoskeleton has sensors for motion detection and control. The proposed architecture offers three main advantages. First, the exoskeleton enables accurate quantification of subject-specific finger dynamics. The configuration of the exoskeleton can be fully reconstructed using measurements from three angular position sensors placed on the kinematic structure. In addition, the actuation force acting on the exoskeleton is recorded. Thus, the range of motion (ROM) and the force and torque trajectories of each finger joint can be determined. Second, the adaptive kinematic structure allows the patient to perform various functional tasks. The force control of the exoskeleton acts like a safeguard and limits the maximum possible joint torques during finger movement. Last, the system is compact, lightweight and does not require extensive peripherals. Due to its safety features, it is easy to use in the home. Applicability was tested in three healthy subjects.