ArticleFrontiers in neurorobotics2021
A Semi-active Exoskeleton Based on EMGs Reduces Muscle Fatigue When Squatting.
Article in Frontiers in neurorobotics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 44 citations in OpenAlex.
- Real-time wearable biomechanics framework for sports injury prevention and rehabilitation optimization.Scientific reports · 2026Article
- Deep learning for motion classification in ankle exoskeletons using surface EMG and IMU signals.Scientific reports · 2025Article
- Controlling Negative and Positive Power for Efficiency Enhancement and Muscle Strain Mitigation During Squatting with a Portable Knee Exoskeleton.Annals of biomedical engineering · 2025Article
- Investigations on the Effects of a Passive Standing-from-Squatting and Gait Assistive Exoskeleton on Human Motion.Bioengineering (Basel, Switzerland) · 2025Article
- Research Status and Development Trend of Lower-Limb Squat-Assistant Wearable Devices.Biomimetics (Basel, Switzerland) · 2025Review
- Effect of Wearable Exoskeleton Robots on Muscle Activation and Gait Parameters on a Treadmill: A Randomized Controlled Trial.Healthcare (Basel, Switzerland) · 2025Article
- Review on Portable-Powered Lower Limb Exoskeletons.Sensors (Basel, Switzerland) · 2024Review
- How Effective Are Forecasting Models in Predicting Effects of Exoskeletons on Fatigue Progression?Sensors (Basel, Switzerland) · 2024Article
- Human-Exoskeleton Coupling Simulation for Lifting Tasks with Shoulder, Spine, and Knee-Joint Powered Exoskeletons.Biomimetics (Basel, Switzerland) · 2024Article
- Experimental Study of Fully Passive, Fully Active, and Active-Passive Upper-Limb Exoskeleton Efficiency: An Assessment of Lifting Tasks.Sensors (Basel, Switzerland) · 2023Article
- Assessment of Muscle Coordination Changes Caused by the Use of an Occupational Passive Lumbar Exoskeleton in Laboratory Conditions.Sensors (Basel, Switzerland) · 2023Article
- Muscle coordination and recruitment during squat assistance using a robotic ankle-foot exoskeleton.Scientific reports · 2023Article
- Predicting the metabolic cost of exoskeleton-assisted squatting using foot pressure features and machine learning.Frontiers in robotics and AI · 2023Article
- Evaluation of a machine-learning-driven active-passive upper-limb exoskeleton robot: Experimental human-in-the-loop study.Wearable technologies · 2023Article
- Wearables for Biomechanical Performance Optimization and Risk Assessment in Industrial and Sports Applications.Bioengineering (Basel, Switzerland) · 2022Review
- A Novel Lightweight Wearable Soft Exosuit for Reducing the Metabolic Rate and Muscle Fatigue.Biosensors · 2021Article
- Challenges and solutions for application and wider adoption of wearable robots.Wearable technologies · 2021Review
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In dynamic manufacturing and warehousing environments, the work scene made it impossible for workers to sit, so workers suffer from muscle fatigue of the lower limb caused by standing or squatting for a long period of time. In this paper, a semi-active exoskeleton used to reduce the muscle fatigue of the lower limb was designed and evaluated. (i) Background: The advantages and disadvantages of assistive exoskeletons developed for industrial purposes were introduced. (ii) Simulation: The process of squatting was simulated in the AnyBody.7.1 software, the result showed that muscle activity of the gluteus maximus, rectus femoris, vastus medialis, vastus lateralis, vastus intermedius, and erector spinae increased with increasing of knee flexion angle. (iii) Design: The exoskeleton was designed with three working modes: rigid-support mode, elastic-support mode and follow mode. Rigid-support mode was suitable for scenes where the squatting posture is stable, while elastic-support mode was beneficial for working environments where the height of squatting varied frequently.The working environments were identified intelligently based on the EMGs of the gluteus maximus, and quadriceps, and the motor was controlled to switch the working mode between rigid-support mode and elastic-support mode. In follow mode, the exoskeleton moves freely with users without interfering with activities such as walking, ascending and descending stairs. (iv) Experiments: Three sets of experiments were conducted to evaluate the effect of exoskeleton. Experiment one was conducted to measure the surface electromyography signal (EMGs) in both condition of with and without exoskeleton, the root mean square of EMGs amplitude of soleus, vastus lateralis, vastus medialis, gastrocnemius, vastus intermedius, rectus femoris, gluteus maximus, and erector spinae were reduced by 98.5, 97.89, 80.09, 77.27, 96.73, 94.17, 70.71, and 36.32%, respectively, with the assistance of the exoskeleton. The purpose of experiment two was aimed to measure the plantar pressure with and without exoskeleton. With exoskeleton, the percentage of weight through subject's feet was reduced by 63.94, 64.52, and 65.61% respectively at 60°, 90°, and 120° of knee flexion angle, compared to the condition of without exoskeleton. Experiment three was purposed to measure the metabolic cost at a speed of 4 and 5 km/h with and without exoskeleton. Experiment results showed that the average additional metabolic cost introduced by exoskeleton was 2.525 and 2.85%. It indicated that the exoskeleton would not interfere with the movement of the wearer Seriously in follow mode. (v) Conclusion: The exoskeleton not only effectively reduced muscle fatigue, but also avoided interfering with the free movement of the wearer.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.