Manual handling personnel and those performing manual handling tasks in non-traditional manual handling industries continue to suffer debilitating and costly workplace injuries. Smart assistive devices are one solution to reducing musculoskeletal back injuries. Devices that provide targeted assistance need to be able to predict when and where to provide augmentation via predictive algorithms trained on functional datasets.
View Article and Find Full Text PDFObjective: The aim of this review was to determine how exoskeletons could assist Australian Defence Force personnel with manual handling tasks.
Background: Musculoskeletal injuries due to manual handling are physically damaging to personnel and financially costly to the Australian Defence Force. Exoskeletons may minimize injury risk by supporting, augmenting, and/or amplifying the user's physical abilities.
This study described changes in leg muscle activation characteristics during exhaustive single-leg hopping. Twenty-seven healthy men performed trials (132 hops/min) to exhaustion, without a target height, to a target height with visual feedback and target height with tactile feedback. Mean muscle activation amplitude of the medial gastrocnemius (MG) decreased during the anticipatory period while duration of MG activity was maintained when hopping to a target height and contrasted the changes during hopping without a target height.
View Article and Find Full Text PDFEnhancing the capabilities of the dismounted combatant has been an enduring goal of international military research communities. Emerging developments in exoskeleton technology offers the potential to augment the dismounted combatant's capabilities. However, the ability to determine the value proposition of an exoskeleton in a military context is difficult due to the variety of methods and metrics used to evaluate previous devices.
View Article and Find Full Text PDFThis study assessed the agreement between K calculated from 4 different methods of estimating vertical displacement of the center of mass (COM) during single-leg hopping. Healthy participants (N = 38) completed a 10-s single-leg hopping effort on a force plate, with 3D motion of the lower limb, pelvis, and trunk captured. Derived variables were calculated for a total of 753 hop cycles using 4 methods, including: double integration of the vertical ground reaction force, law of falling bodies, a marker cluster on the sacrum, and a segmental analysis method.
View Article and Find Full Text PDFAdaptations in lower limb movement patterns were examined when performance was maintained during a fatiguing repetitive loading task. Forty recreationally active male and female participants performed single-leg hopping to volitional exhaustion at 2.2Hz to a submaximal height.
View Article and Find Full Text PDFIntroduction: This study aimed to determine whether real-time augmented feedback influenced performance of single-leg hopping to volitional exhaustion.
Methods: Twenty-seven healthy, male participants performed single-leg hopping (2.2 Hz) with (visual and tactile feedback for a target hop height) or without feedback on a force plate.
The instant at which a muscle increases its level of activity from baseline represents the onset of muscle activity. Accurate identification of muscle onset allows determination of temporal and amplitude characteristics of the surface electromyography (sEMG) signal. This investigation determined the intra- and inter-tester reliability for determining the onset of medial gastrocnemius (MG) activity using visual and automated methods.
View Article and Find Full Text PDF