scholarly journals Corrigendum to “SIAT-WEXv2: A Wearable Exoskeleton for Reducing Lumbar Load during Lifting Tasks”

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-1
Author(s):  
Xinyu Ji ◽  
Dashuai Wang ◽  
Pengfei Li ◽  
Liangsheng Zheng ◽  
Jianquan Sun ◽  
...  
Keyword(s):  
Wearable Exoskeleton ◽  
Lumbar Load

scholarly journals SIAT-WEXv2: A Wearable Exoskeleton for Reducing Lumbar Load during Lifting Tasks

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Xinyu Ji ◽  
Dashuai Wang ◽  
Pengfei Li ◽  
Liangsheng Zheng ◽  
Jianquan Sun ◽  
...  
Keyword(s):  
Adaptive Algorithm ◽  
Erector Spinae ◽  
Biomechanical Analysis ◽  
Muscle Strain ◽  
Effective Protection ◽  
Lumbar Muscle ◽  
Wearable Exoskeleton ◽  
Lumbar Load ◽  
Fuzzy Adaptive

Lumbar Exoskeleton, as an important instance of wearable exoskeleton, has broad application prospects in logistics, construction, and other industries. Specifically, in the working scenarios that require long-term and repeated bending and rising movements, active lumbar exoskeleton (ALE) can provide effective protection and flexible assistance to wear’s waist muscles and bones, which will significantly reduce the risk of lumbar muscle strain. How to improve the human-machine coupling and enhance the assistance performance are the main challenges for ALE’s development. Based on the biomechanical analysis of the movement of lifting heavy objects from bottom up, this paper proposes a lightweight but powerful ALE, named as SIAT-WEXv2, which can output maximum assistive force of 28 N. Additionally, we use robust fuzzy adaptive algorithm to improve SIAT-WEXv2’s antidisturbance ability, so that it can provide continuous and supple assistance for wearer. Electromyography (EMG) signals of the lumbar erector spinae (LES) from ten subjects in two experimental cases (with or without SIAT-WEXv2) were collected to evaluate the effectiveness of our new ALE. The experimental results indicate that the reduction of iEMG signal at LES decreased monotonically from 60% ± 5.5% to 40.5% ± 6.5% as the weight of lifting load increased from 0 to 25 kg.

3D Printed Wearable Exoskeleton Human-Machine Interfacing Device

2020 ◽  
Author(s):  
Radu Chirila ◽  
Markellos Ntagios ◽  
Ravinder Dahiya
Keyword(s):  
3D Printed ◽  
Wearable Exoskeleton

scholarly journals Design and control of a passive compliant actuation with positioning measurement by LED and photodiode detector for medical application

2021 ◽  
Vol 54 (3-4) ◽  
pp. 216-230
Author(s):  
Anan Suebsomran
Keyword(s):  
Supervisory Control ◽  
Electromagnetic Interference ◽  
Medical Application ◽  
Torque Control ◽  
Assistive Device ◽  
Joint Control ◽  
Design Error ◽  
Exoskeleton Robot ◽  
Compliant Actuation ◽  
Wearable Exoskeleton

Control of assistive exoskeleton robot recently has to be crucial of development and innovation of medical application. To support daily motions for humans, control application of assistive exoskeleton robot allows for limb movement with increased strength and endurance during patient’s wearable exoskeleton robot application. The interaction between such exoskeleton device and the human body at the connecting joint, especially the knees, is the main interest of this design formation. The assistive device requires to design and to develop into innovation design aspect. This research presents the novel design of an active compliant actuation joint in order to increasing the higher torque of actuation than conventional actuation joint. Control design of the higher torque actuation usually difficult priori to conventional torque control. This will contributed to applying the supervisory control for compliant actuation that verified by experiment method. Then the hybrid Radial Basis Function neural network (RBFNN) and PID were proposed for actuating torque control methods. Experimental results show that the design of supervisory control is get better response, and higher producing torque output than the conventional design. Error of torque control of compliant actuation is not instead of [Formula: see text] N·m for applying supervisory control, RBFNN with PID controller. Indeed, the low electromagnetic interference (EMI) positioning system using LED and photodiode detector is proposed to be usable in medical application.

scholarly journals Automatically Determining Lumbar Load during Physically Demanding Work: A Validation Study

Sensors ◽  
2021 ◽  
Vol 21 (7) ◽  
pp. 2476
Author(s):  
Charlotte Christina Roossien ◽  
Christian Theodoor Maria Baten ◽  
Mitchel Willem Pieter van der Waard ◽  
Michiel Felix Reneman ◽  
Gijsbertus Jacob Verkerke
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Discriminant Validity ◽  
Real Life ◽  
Working Environment ◽  
Physically Active ◽  
Perceived Workload ◽  
Artificial Neural ◽  
Lumbar Load ◽  
Physically Demanding Work

A sensor-based system using inertial magnetic measurement units and surface electromyography is suitable for objectively and automatically monitoring the lumbar load during physically demanding work. The validity and usability of this system in the uncontrolled real-life working environment of physically active workers are still unknown. The objective of this study was to test the discriminant validity of an artificial neural network-based method for load assessment during actual work. Nine physically active workers performed work-related tasks while wearing the sensor system. The main measure representing lumbar load was the net moment around the L5/S1 intervertebral body, estimated using a method that was based on artificial neural network and perceived workload. The mean differences (MDs) were tested using a paired t-test. During heavy tasks, the net moment (MD = 64.3 ± 13.5%, p = 0.028) and the perceived workload (MD = 5.1 ± 2.1, p < 0.001) observed were significantly higher than during the light tasks. The lumbar load had significantly higher variances during the dynamic tasks (MD = 33.5 ± 36.8%, p = 0.026) and the perceived workload was significantly higher (MD = 2.2 ± 1.5, p = 0.002) than during static tasks. It was concluded that the validity of this sensor-based system was supported because the differences in the lumbar load were consistent with the perceived intensity levels and character of the work tasks.

A Novel Dead Reckoning System Based on Wearable Exoskeleton for Rat-Robot Localization

2021 ◽  
pp. 1-1
Author(s):  
Canjun Yang ◽  
Yuxin Chen ◽  
Haoze Xu ◽  
Kedi Xu ◽  
Wei Yang
Keyword(s):  
Dead Reckoning ◽  
Robot Localization ◽  
Wearable Exoskeleton

scholarly journals Compliant control for wearable exoskeleton robot based on human inverse kinematics

2018 ◽  
Vol 15 (6) ◽  
pp. 172988141881213 ◽  
Author(s):  
Brahim Brahmi ◽  
Maarouf Saad ◽  
Abdelkrim Brahmi ◽  
Cristobal Ochoa Luna ◽  
Mohammad Habibur Rahman
Keyword(s):  
Inverse Kinematics ◽  
Sliding Mode ◽  
New Technology ◽  
Time Delay Estimation ◽  
Compliance Control ◽  
Exoskeleton Robot ◽  
Main Challenge ◽  
Compliant Control ◽  
Wearable Exoskeleton ◽  
Set Up

Rehabilitation robots are a new technology dedicated to the physiotherapy and assistance motion and has aroused great interest in the scientific community. These kinds of robots have shown a high potential in limiting the patient’s disability, increasing its functional movements and helping him/her in daily living activities. This technology is still an emerging area and suffers from many challenges like compliance control and human–robot collaboration. The main challenge addressed in this research is to ensure that the exoskeleton robot provides an appropriate compliance control that allows it to interact perfectly with humans. This article investigates a new compliant control based on a second-order sliding mode with adaptive-gain incorporating time delay estimation. The control uses human inverse kinematics to complete active rehabilitation protocols for an exoskeleton robot with unknown dynamics and unforeseen disturbances. The stability analysis is formulated and demonstrated based on Lyapunov function. An experimental physiotherapy session with three healthy subjects was set up to test the effectiveness of the proposed control, using virtual reality environment.

scholarly journals Lower-Limb Wearable Exoskeleton

10.5772/5176 ◽  
2007 ◽  
Author(s):  
J.L. Pons ◽  
J.C. Moreno ◽  
F.J. Brunetti ◽  
E. Roco
Keyword(s):  
Lower Limb ◽  
Wearable Exoskeleton

scholarly journals The Roles of Lumbar load thresholds in lifetime cumulative lifting exposure to predict disk protrusion

2019 ◽  
Author(s):  
Isabella Yu-Ju Hung ◽  
Tiffany Ting-Fang Shih ◽  
Bang-Bin Chen ◽  
Ing-Kang Ho ◽  
Saou-Hsing Liou ◽  
...  
Keyword(s):  
Final Analysis ◽  
Threshold Value ◽  
Cross Sectional Study ◽  
Optimal Threshold ◽  
Optimal Method ◽  
Cross Sectional ◽  
Women In The Workplace ◽  
Exposure Limit ◽  
Lifting Task ◽  
Lumbar Load

Abstract Background: The purpose of this study was to determine whether if a specific threshold value exists in each lifting load, the accumulation above which best predicts lumbar disk protrusion, or on the other hand, all lifting load should be accumulated. Methods: This was a cross-sectional study. Subjects with various lifetime lifting exposures were recruited. Disk protrusion was determined by magnetic resonance imaging. Lifetime cumulative lifting load was the sum of time-weighed lumbar load for each job using a biomechanical software system. For accumulation above different thresholds, predictive capabilities for disk protrusion were compared using four statistical methods. Results: A total of 252 men and 301 women were included in the final analysis. For men, 3000 Newton for each lifting task was the optimal threshold value for predicting L4-S1 disk protrusion, whereas for women, 2800 Newton was optimal. Our findings suggested that when considering lifetime exposure, including all lifting loads without defining a minimal exposure limit might not be the optimal method for predicting disk protrusion. Conclusions: The NIOSH 3400 Newton recommended limits do not appear to be optimal threshold for preventing disk protrusion. Different lifting thresholds might be applied to men and women in the workplace for safety.

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