Recently, robotic exoskeletons are gaining attention for assisting industrial workers. The exoskeleton power source ranges from fully passive (FP) to fully active (FA), or a mixture of both. The objective of this experimental study was to assess the efficiency of a new active-passive (AP) shoulder exoskeleton using statistical analyses of 11 quantitative measures from surface electromyography (sEMG) and kinematic data and a user survey for weight lifting tasks. Two groups of females and males lifted heavy kettlebells, while a shoulder exoskeleton helped them in modes of fully passive (FP), fully active (FA), and active-passive (AP). The AP exoskeleton outperformed the FP and FA exoskeletons because the participants could hold the weighted object for nearly twice as long before fatigue occurred. Future developments should concentrate on developing sex-specific controllers as well as on better-fitting wearable devices for women.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10780908 | PMC |
| http://dx.doi.org/10.3390/s24010063 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Interacting Dark Energy after DESI Baryon Acoustic Oscillation Measurements.
Phys Rev Lett
December 2024
School of Mathematics and Statistics, University of Sheffield, Hounsfield Road, Sheffield S3 7RH, United Kingdom.
We investigate the implications of the baryon acoustic oscillations measurement released by the Dark Energy Spectroscopic Instrument for interacting dark energy (IDE) models characterized by an energy-momentum flow from dark matter to dark energy. By combining Planck-2018 and Dark Energy Spectroscopic Instrument data, we observe a preference for interactions, leading to a nonvanishing interaction rate ξ=-0.32_{-0.
View Article and Find Full Text PDFSex-Specific Effects in Acute Nicotine Vapor Exposure on Binge Drinking and Activity in the Central Amygdala and Ventral Tegmental Area.
Nicotine Tob Res
November 2024
Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Introduction: The increasing prevalence of electronic nicotine delivery systems and alcohol drinking has led to increases in nicotine and alcohol co-use. However, the impact of ENDs on brain activity and binge drinking behavior is not fully understood.
Aims And Methods: We subjected female and male C57BL/6J mice to a voluntary drinking and electronic nicotine vapor exposure paradigm.
Analysis and Testing of a Flyable Micro Flapping-Wing Rotor with a Highly Efficient Elastic Mechanism.
Biomimetics (Basel)
December 2024
Centre for Aeronautics, Faculty of Engineering and Applied Sciences, Cranfield University, Bedford MK43 0AL, UK.
A Flapping-Wing Rotor (FWR) is a novel bio-inspired micro aerial vehicle configuration, featuring unique wing motions which combine active flapping and passive rotation for high lift production. Power efficiency in flight has recently emerged as a critical factor in FWR development. The current study investigates an elastic flapping mechanism to improve FWRs' power efficiency by incorporating springs into the system.
View Article and Find Full Text PDFPatients With .
J Neurotrauma
December 2024
Department of Medical Sciences, Section of Neurosurgery, Uppsala University, Uppsala, Sweden.
This study compared the roles of extraparenchymal autonomic nervous system (ANS) control of cerebral blood flow (CBF) versus intraparenchymal cerebrovascular autoregulation in 487 patients with aneurysmal subarachnoid hemorrhage (SAH) and 413 patients with traumatic brain injury (TBI). Vasomotion intensity of extraparenchymal and intraparenchymal vessels were quantified as the amplitude of oscillations of arterial blood pressure (ABP) and intracranial pressure (ICP) in the very low frequency range of 0.02-0.
View Article and Find Full Text PDFFully convolutional networks for velocity-field predictions based on the wall heat flux in turbulent boundary layers.
Theor Comput Fluid Dyn
December 2024
FLOW, Engineering Mechanics, KTH Royal Institute of Technology, Osquars Backe 18, 114 28 Stockholm, Sweden.
Fully-convolutional neural networks (FCN) were proven to be effective for predicting the instantaneous state of a fully-developed turbulent flow at different wall-normal locations using quantities measured at the wall. In Guastoni et al. (J Fluid Mech 928:A27, 2021.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!