TY - GEN A1 - Brandt, Hanna A1 - Steinhilber, Bernd A1 - Dendorfer, Sebastian A1 - Pfingsten, Andrea T1 - Exoskelettale Unterstützung in der Pflege - eine Untersuchung der Muskelaktivität, des Hüftflexionswinkels und des subjektiven Belastungsempfinden bei einem simulierten Transfer. T2 - Physioscience N2 - Die dargestellten Ergebnisse weisen darauf hin, dass das in der Studie verwendete passive rückenunterstützende Exoskelett die (wahrgenommene) körperliche Belastung beim dynamischen Transfer eines 45 kg schweren Dummys potenziell reduzieren kann und sich der maximale Hüftgelenksflexionswinkel mit Exo verkleinert. Dieses Ergebnis deckt sich mit bereits publizierten Studienergebnissen von Arbeitsaufgaben im Bereich des Hebens und Tragens von Gegenständen aus der Logistik Y1 - 2025 U6 - https://doi.org/10.1055/s-0045-1808226 VL - 21 IS - S 01 SP - S61 EP - S62 PB - Thieme ER - TY - CHAP A1 - Schaeffer, Leon A1 - Schmaußer, Theresa A1 - Herrmann, David A1 - Lehmann, Lukas A1 - Dendorfer, Sebastian A1 - Böhm, Valter T1 - Multi-Body Simulation of a Dynamic Hand Orthosis based on a Prestressed Compliant Structure Incorporating the Human Hand T2 - 2025 International Symposium on Medical Robotics (ISMR), May 14-16, 2025, Atlanta, GA, USA, N2 - Many dynamic hand orthoses use one degree of freedom joints, such as hinge joints. Therefore, these orthoses can only partially replicate the complex, multi-axis movement of the hand. A possible solution for this is the use of prestressed compliant structures as the basis for orthoses. Determining the joint forces in the wrist and optimizing the dynamic orthosis to influence these forces as well as acting muscle forces are important steps in the development of these orthoses. For this reason, in this work multi-body simulation models of an orthosis with human hand models are presented. Based on these theoretical investigations, more detailed orthosis models as well as initial prototypes of prestressed compliant dynamic hand orthoses can be developed. KW - Hands KW - Wrist KW - Systematics KW - Simulation KW - Dynamics KW - Refining KW - Prototypes KW - Usability KW - Research and development KW - Testing Y1 - 2025 U6 - https://doi.org/10.1109/ISMR67322.2025.11025982 SP - 80 EP - 86 PB - IEEE ER - TY - GEN A1 - Pfingsten, Andrea A1 - Schedel, Valentin A1 - Dendorfer, Sebastian A1 - Gschoßmann, Lukas T1 - Biomechanical characteristics of knee rehabilitation exercises: a new approach for data-based exercise selection N2 - Purpose: The principal objective of our research is to characterize key exercises that represent significant milestones in the rehabilitation process, employing biomechanical parameters to facilitate the distinction between stages of progression. Methods: We conducted an observational cross-sectional study on healthy volunteers (30 years), approved by an ethics committee. Subjects with a history of lower extremity disease were excluded. Movement data was collected, including the following hierarchy of exercise progressions: sit-to-stand-supported (STSS) - sit-to-stand (STS) - squat, stair climbing supported (SCS) - stair climbing (SC) - step-up, single-leg-stance-supported (SLSS) - single-leg-stance (SLS) - single-leg-stance-advanced (SLSA). Motion data was captured using a marker-less system (CapturyLive, v255, TheCaptury, Germany) and used for musculoskeletal simulations in the AnyBody Modeling System (v7.4.4, AnyBodyTechnology, Denmark) with a full-body model. ANOVA or Welch-Test with Bonferroni Post-Hoc was used to describe the anterior-posterior joint reaction force (JRF) normalized for body weight (BW) for each exercise. Positive values indicate an anterior JRF, and negative values a posterior JRF. Results: We recruited 31 subjects (female: 23/74.2%) with a mean age of 22.81 years (SD:2.18). The analysis showed a significant difference in minimum JRF for STSS, STS, and squat (Welch-Test: F(2,56.421)=71.216, p0.001). Post-hoc analysis revealed that posterior JRF for STSS (mean:-2.63BW, SD:0.53) was lower than for STS (mean:-3.74BW, SD:0.42, p0.001), and STS was lower than squat (mean:-4.02BW, SD:0.35, p=0.043). No significant differences were observed in maximum JRF in the posterior direction (ANOVA: F(2,87)=1.151, p=0.324). For single-leg-stance exercises, the minimum JRF was similar for SLSS (mean:-0.34BW, SD:0.22) and SLS (mean:-0.55BW, SD:0.25, p=0.056), but higher in the posterior direction for SLSA (mean:-0.98BW, SD:0.49, p0.001; Welch-Test: F(2,54.379)=22.536, p0.001). Maximum JRF differences were also significant (ANOVA: F(2,87)=11.546, p0.001), with SLSS (mean:0.01BW, SD:0.22) showing a significant higher anterior JRF compared to SLS (mean:-0.16BW, SD:0.19, p=0.020). In the progression from SCS, SC to step-up, there was a significant difference in minimum JRF (ANOVA: F(2,87)=5.33, p=0.007), but not in maximum JRF (ANOVA: F(2,87)=0.624, p=0.538). SCS (mean:-3.42BW, SD:0.38) and SC (mean:-3.48BW, SD:0.54) showed no difference (p=1.000), but SC was significantly higher than step-up (mean:-3.58BW, SD:0.62, p=0.036). Conclusion(s): The exercises show differences in the JRF according to stages of progression, which can be taken into account when selecting exercises. Future research should address the group of patients who have undergone knee arthroplasty. Implications: In the future, it may be feasible to quantify patients' resilience based on sensor data and associate this with the optimal progression of an exercise sequence throughout the rehabilitation process. KW - Physiotherapie KW - Biomechanik KW - Rehabilitation KW - Knie KW - Physiotherapie Y1 - 2025 U6 - https://doi.org/10.82161/v9a4-yt39 ER -