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Pulmonary response prediction through personalized basis functions in a virtual patient model
(2024)
On Consistency Viability and Admissibility in Constrained Ensemble and Hierarchical Control Systems
(2023)
Several control architectures, such as decentralized, distributed, and hierarchical control, have been elaborated over the past decades for controlling systems composed of a set of subsystems. However, computational complexity and constraint satisfaction are still challenging tasks. We present an approach to control an ensemble of similar heterogeneous systems with input and state constraints via an identical control input. This control input is globally admissible and computed based on an aggregated system that reflects the overall behavior of the ensemble. To limit the computational complexity of the control task, the aggregated system is designed such that its dimension is independent of the number of subsystems. To guarantee viability, i.e., state constraint satisfaction for all times, appropriate consistency conditions are derived based on invariant set theory. The presented approach is illustrated with a numerical example.
XAutoML : A Visual Analytics Tool for Understanding and Validating Automated Machine Learning
(2023)
Design and fabrication of a novel 4D-printed customized hand orthosis to treat cerebral palsy
(2024)
Der Rehabilitationsprozess von Patientinnen und Patienten mit neurologischen Langzeitschäden ist eine große Herausforderung. Bei zentralnervalen chronischen Schädigungen arbeiten Therapierende mit Patient*innen und pflegenden Angehörigen mitunter über Jahre intensiv zusammen. Alexa von Bosse hat in einer empirischen Studie die Wichtigkeit einer gelingenden Kommunikation und Beziehungsgestaltung in diesem Beziehungsdreieck verdeutlichen können.
Experimental validation of a pinless femoral reference array for computer-assisted hip arthroplasty
(2010)
Post-exercise diaphragm shielding: A novel approach to exercise-induced diaphragmatic fatigue
(2008)
Characteristics of the respiratory mechanical and muscle function of competitive breath-hold divers
(2008)
Vertebral motion reveals complex patterns, which are not yet understood in detail. This applies to vertebral kinematics in general but also to specific motion tasks like gait. For gait analysis, most of existing publications focus on averaging characteristics of recorded motion signals. Instead, this paper aims at analyzing intra- and inter-individual variation specifically and elaborating motion parameters, which are consistent during gait cycles of particular persons. For this purpose, a study design was utilized, which collected motion data from 11 asymptomatic test persons walking at different speed levels (2, 3, and 4 km/h). Acquisition of data was performed using surface topography. The motion signals were preprocessed in order to separate average vertebral orientations (neutral profiles) from basic gait cycles. Subsequently, a k-means clustering technique was applied to figure out, whether a discrimination of test persons was possible based on the preprocessed motion signals. The paper shows that each test sequence could be assigned to the particular test person without additional prior information. In particular, the neutral profiles appeared to be highly consistent intra-individually (across the gait cycles as well as speed levels), but substantially different between test persons. A full discrimination of test persons was achieved using the neutral profiles with respect to flexion/extension data. Based on this, these signals can be considered as individual characteristics for the particular test persons.
Keywords: Gait analysis; Human spine; Intra- and interindividual variation; Motion analysis; Rasterstereography; Surface topography; k-means algorithm.