Gait simulators play a crucial role in assessing the performance of physical prototypes of prosthetic knees, validating numerical simulation findings, and reducing dependency on user trials during prosthesis development. However, their practical application is limited because of substantial capital investment required for sophisticated high degrees-of-freedom (DOF) system development on one side and insufficient DOF for accurate simulation on the other. In this study, we evaluated the minimum DOF of thigh segment that a gait simulator should have to test the performance of prosthetic knees in a cost-effective manner. Initially, numerical simulations of swing phase of prosthetic leg with IITM polycentric knee (IPK) using 3D gait data and with different arrested DOF of the thigh were performed to identify the essential DOF of gait simulator. By comparing different cases of arrested DOF with the six-DOF ideal case, it was revealed that only sagittal plane movements, namely flexion-extension, vertical translation, and horizontal translation, are sufficient to test prosthetic knees. Subsequently, a compact and modular gait simulator was developed. Hardware-in-loop simulations of the IPK using the gait simulator were used to demonstrate its effectiveness in assessing the performance of prosthetic knees, which validated the ability of the IPK to extend completely without an extension assist before heel contact. Additionally, it was exposed that the IPK's extension stop needs redesigning to effectively absorb the impact energy when the knee extends completely before heel contact. These findings emphasize the significance of a cost-effective gait simulator in prosthesis development and reduce dependency on user trials.
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http://dx.doi.org/10.1016/j.medengphy.2024.104254 | DOI Listing |
Spinal Cord Ser Cases
December 2024
Institut Universitaire sur la Réadaptation en Déficience Physique de Montréal - Centre for Interdisciplinary Research in Rehabilitation, Montréal, QC, Canada.
Study Design: Quasi-experimental pilot study.
Objectives: Evaluate the immediate effect of virtual reality (VR), gait-like muscle vibration (MV) and transcranial direct current stimulation (tDCS) combined or alone on neuropathic pain in individuals with spinal cord injury (SCI).
Setting: Inpatient rehabilitation centre.
Curr Biol
December 2024
School of Natural Sciences, University of Manchester, Michael Smith Building, Oxford Road, Manchester M13 9PT, UK.
The evolution of bipedal gait is a key adaptive feature in hominids, but the running abilities of early hominins have not been extensively studied. Here, we present physics simulations of Australopithecus afarensis that demonstrate this genus was mechanically capable of bipedal running but with absolute and relative (size-normalized) maximum speeds considerably inferior to modern humans. Simulations predicted running energetics for Australopithecus that are generally consistent with values for mammals and birds of similar body size, therefore suggesting relatively low cost of transport across a limited speed range.
View Article and Find Full Text PDFFront Robot AI
December 2024
School of Kinesiology and Physical Activity Sciences, Université de Montréal, Montréal, QC, Canada.
Appl Ergon
December 2024
Ageing Futures Institute, University of New South Wales, Sydney, NSW, Australia; School of Optometry and Vision Science, University of New South Wales, Sydney, NSW, Australia.
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.
View Article and Find Full Text PDFGait Posture
December 2024
Department of Orthopaedic Surgery, School of Medicine, University of Missouri, 1100 Virginia Ave, Columbia, MO 65211, USA; Department of Physical Therapy, College of Health Sciences, University of Missouri, 703 S 5th Street, Columbia, MO 65211, USA. Electronic address:
Background: Gait analyses in clinical populations must be considered differently, as variation in measurements may be related to the clinical condition and not just factors of interest. However, measurements taken from gait also have natural variability and this variability is further compounded when multiple factors may be of clinical interest.
Research Question: Do current methods properly assign and quantify the amount of variability in gait data?
Methods: Simulated data were utilized to identify subject and therapist effects using multiple gait trials; data were simulated with and without multiple sessions with therapists.
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