[Purpose] This investigation evaluated the effect of real-time feedback on electrical activation of the quadriceps during 3 weight-bearing tasks of the Wii Fit Plus(®). [Subjects] Thirty male healthy volunteers were recruited. [Methods] Activation of the vastus medialis, vastus lateralis, and rectus femoris muscles was recorded during virtual lunge, single leg extension, and single leg reach exercises. Each exercise was performed twice in 3 randomized experimental conditions (with visual feedback, with auditory feedback, and with no feedback). The normalized electromyographic data (using maximum voluntary isometric contraction) were analyzed using repeated measures analysis of variance and Tukey's test. [Results] No significant difference was found in the muscles among the feedback conditions during the 3 exercises. However, the variation in the muscle activity of the vastus medialis and vastus lateralis (18.23-29.20% of maximum voluntary isometric contraction) was higher (47-62%) than that in the rectus femoris (7.35-12.98% of maximum voluntary isometric contraction). [Conclusion] Real-time feedback did not alter quadriceps activation during the Wii tasks. Additionally, these games showed electromyographic activation levels similar to those for the same tasks outside the virtual environment. The Wii weight-bearing tasks could therefore constitute a physical activity program but without the additional benefit of feedback.
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http://dx.doi.org/10.1589/jpts.27.1701 | DOI Listing |
Musculoskelet Surg
January 2025
Bone and Joint Health, Blizard Institute, Queen Mary University London, 4 Newark Street, London, E1 2AT, UK.
Post-surgical rehabilitation advice after ankle fracture surgery, particularly regarding weight-bearing, varies significantly, leading to patient frustration and inconsistent recovery outcomes. This study aimed to establish a consensus for ankle fracture rehabilitation advice and identify content and implementation options for future interventions through consultation with healthcare professionals (HCPs). This study was part of the weight-bearing in ankle fractures (WAX) trial, a multicentre, randomised controlled trial.
View Article and Find Full Text PDFJ Bodyw Mov Ther
October 2024
Waseda University, Faculty of Sport Sciences, Shinjuku-ku, Tokyo, Japan.
Background: This study investigates a novel isometric method utilizing an external focus instruction technique with a soft paper balloon. By emphasizing control to avoid crushing the balloon, this method promotes co-contraction of muscles without exerting pressure on the object. We aim to evaluate differences in muscle activation patterns during isometric hip abduction exercises between the paper balloon task and tasks using external resistance (hard plastic, non-elastic, and elastic bands), and further determine their influence on the contralateral side.
View Article and Find Full Text PDFJ Biomech
December 2024
Arts et Metiers Institute of Technology, Institut de Biomecanique Humaine Georges Charpak, 151 Boulevard de l'Hôpital, 75013 Paris, France. Electronic address:
Accurate estimation of joint load during a lifting/lowering task could provide a better understanding of the pathogenesis and development of musculoskeletal disorders. In particular, the values of the net force and moment at the L5-S1 joint could be an important criterion to identify the unsafe lifting/lowering tasks. In this study, the joint load at L5-S1 was estimated from the motion kinematics acquired using a multi-view markerless motion capture system without force plate.
View Article and Find Full Text PDFNature
November 2024
George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Lower-limb exoskeletons have the potential to transform the way we move, but current state-of-the-art controllers cannot accommodate the rich set of possible human behaviours that range from cyclic and predictable to transitory and unstructured. We introduce a task-agnostic controller that assists the user on the basis of instantaneous estimates of lower-limb biological joint moments from a deep neural network. By estimating both hip and knee moments in-the-loop, our approach provided multi-joint, coordinated assistance through our autonomous, clothing-integrated exoskeleton.
View Article and Find Full Text PDFSensors (Basel)
October 2024
Department of Aeronautics and Astronautics, Fudan University, Shanghai 056004, China.
Fault diagnosis plays a crucial role in maintaining the operational safety of mechanical systems. As intelligent data-driven approaches evolve, deep learning (DL) has emerged as a pivotal technique in fault diagnosis research. However, the collected vibrational signals from mechanical systems are usually corrupted by unrelated noises due to complicated transfer path modulations and component coupling.
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