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Background: Fall injuries resulting from trips are a major health concern. Virtual reality (VR) offers an effective way of training obstacle avoidance while walking due to its ability to provide safe and meaningful real-time feedback during rehabilitation. This proof-of-concept study examined the benefit of providing physical feedback during obstacle avoidance gait training using VR.
Methods: Twenty-six young adults walked on an instrumented treadmill while wearing a head-mounted display in two 8-min conditions. Virtual obstacles to be avoided were presented in a VR-only condition and a VR + Perturbation (VR + P) condition where additional rapid belt acceleration simulated tripping on an obstacle.
Results: A lower obstacle collision rate, greater step length and height of the leading foot over the obstacles were found in the VR + P condition compared to the VR-only condition (p < 0.05). Step height of the trailing foot over the obstacles significantly decreased over time during the VR-only condition (p < 0.01) but not during the VR + P condition. The margin of stability significantly improved over time during the VR + P condition only (p < 0.01).
Conclusions: Immediate physical feedback via treadmill belt acceleration can improve obstacle avoidance performance in a virtual environment. Future research is required to examine the generalizability of this finding to other populations and real-world falls.
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http://dx.doi.org/10.1016/j.apergo.2024.104442 | DOI Listing |
Data Brief
October 2025
School of Aeronautics and Astronautics, Purdue University, West Lafayette, IN, USA.
Unmanned Aerial Vehicles (UAVs) have become a critical focus in robotics research, particularly in the development of autonomous navigation and target-tracking systems. This journal article provides an overview of a multi-year IEEE-hosted drone competition designed to advance UAV autonomy in complex environments. The competition consisted of two primary challenges.
View Article and Find Full Text PDFInt J Biomed Imaging
August 2025
College of Information Engineering, Shanghai Maritime University, Shanghai, China.
Accurate brain tumor segmentation is essential for clinical decision-making, yet remains difficult to automate. Key obstacles include the small volume of lesions, their morphological diversity, poorly defined MRI boundaries, and nonuniform intensity profiles. Furthermore, while traditional segmentation approaches often focus on intralayer relevance, they frequently underutilize the rich semantic correlations between features extracted from adjacent network layers.
View Article and Find Full Text PDFJ Am Geriatr Soc
September 2025
Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Background: For selected patients at increased fall risk, physical therapy may include instruction to look around and observe the environment to identify obstacles, known as visual scanning or tracking, and avoid them. Whether visual scanning reduces fall risk more broadly in the general population is unknown.
Methods: Using data from the Mexico Health and Aging Study (MHAS), a longitudinal, nationally representative study of adults 50 years of age and older in Mexico (n = 13,850), we measured the association between visual scanning test performance and three fall-related outcomes: any fall in the previous 2 years, recurrent falls, and falls with injury.
Hum Gene Ther
August 2025
Hemato-Oncology Program, CIMA Universidad de Navarra, IdiSNA, Pamplona, Spain.
Chimeric antigen receptor (CAR) T cell therapy has revolutionized treatment for hematological malignancies, yet translating this success to solid tumors remains challenging. Major obstacles include antigen heterogeneity, on-target off-tumor toxicity, limited infiltration and persistence, and the immunosuppressive tumor microenvironment (TME). The present review discusses recent engineering strategies designed to overcome these barriers.
View Article and Find Full Text PDFJ Alzheimers Dis
August 2025
The USC Brain Health Observatory, USC Dornsife, Los Angeles, CA, USA.
BackgroundCapacity to deliver intravenous Alzheimer's disease (AD) treatments could constitute an obstacle to access in addition to AD specialist and PET scan capacity.ObjectiveWe aim to estimate the overall capacity for AD treatment infusions compared to expected demand in the United States.MethodsWe used published data and a survey of infusion sites to estimate the capacity to deliver AD treatments in physician offices, hospitals, standalone centers and at patients' homes from 2024 to 2033 relative to demand.
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