scholarly journals A Hip Active Assisted Exoskeleton That Assists the Semi-Squat Lifting

2020 ◽  
Vol 10 (7) ◽  
pp. 2424 ◽  
Author(s):  
Wei Wei ◽  
Shijia Zha ◽  
Yuxuan Xia ◽  
Jihua Gu ◽  
Xichuan Lin

(1) Background: In the case of quick picking and heavy lifting, the carrying action results in a much more active myoelectric signal in the lower back than in an upright stationary one, and there is a high risk of back muscle injury without proper handling skills and equipment. (2) Methods: To reduce the risk of LBP during manual handing tasks, a hip active exoskeleton is designed to assist human manual lifting. A power control method is introduced into the control loop in the process of assisting human transportation. The power curve imitates the semi-squat movement of the human body as the output power of the hip joint. (3) Results: According to the test, the torque can be output according to the wearer’s movement. During the semi-squat lifting process, the EMG (electromyogram) signal of the vertical spine at L5/S1 was reduced by 30–48% and the metabolic cost of energy was reduced by 18% compared the situation of without EXO. (4) Conclusion: The exoskeleton joint output torque can change in an adaptive manner according to the angular velocity of the wearer’s joint. The exoskeleton can assist the waist muscles and the hip joint in the case of the reciprocating semi-squat lifting movement.

2010 ◽  
Vol 7 (2) ◽  
pp. 131-142 ◽  
Author(s):  
Armaĝan Albayrak ◽  
Richard H. M. Goossens ◽  
Chris J. Snijders ◽  
Huib de Ridder ◽  
Geert Kazemier

The present study is based on previous research on the poor body posture of surgeons and their experienced discomfort during surgical procedures. Since surgeons have head-bent and back-bent posture during open surgical procedures, a chest support is a viable supporting principle. This support is meant to reduce lower back pain by minimising lower back muscle activity. The aim of this study is to investigate the impact of a chest support on lower back muscle activity during forward bending and to establish a possible relation between supporting force and the kind of balancing strategy a person adopts. Use of the chest support shows a significant reduction of muscle activity in the lower back and leg muscles. Within the participants three user groups are identified as “sceptical users”, “non-trusters” and “fully trusters”, each following a different balancing strategy. Since there are different kinds of users, the designed body support should offer the possibility for altering the posture and should not constrain the user to take a certain body posture.


2010 ◽  
Vol 2010 (0) ◽  
pp. _2P1-D02_1-_2P1-D02_4
Author(s):  
Takumi Kobayashi ◽  
Yuto Nakanishi ◽  
Kazuo Hongo ◽  
Takuma Shirai ◽  
Ikuo Mizuuchi ◽  
...  

2017 ◽  
Vol 53 (Supplement2) ◽  
pp. S736-S737
Author(s):  
Tsuyoshi Yi YOTO ◽  
Takeshi KOMATSU ◽  
Shigeo MURAMATSU ◽  
Akira NAKAI ◽  
Yoshihiro SHIMOMURA ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247162
Author(s):  
Kristian Snyder ◽  
Brennan Thomas ◽  
Ming-Lun Lu ◽  
Rashmi Jha ◽  
Menekse S. Barim ◽  
...  

Occupationally-induced back pain is a leading cause of reduced productivity in industry. Detecting when a worker is lifting incorrectly and at increased risk of back injury presents significant possible benefits. These include increased quality of life for the worker due to lower rates of back injury and fewer workers’ compensation claims and missed time for the employer. However, recognizing lifting risk provides a challenge due to typically small datasets and subtle underlying features in accelerometer and gyroscope data. A novel method to classify a lifting dataset using a 2D convolutional neural network (CNN) and no manual feature extraction is proposed in this paper; the dataset consisted of 10 subjects lifting at various relative distances from the body with 720 total trials. The proposed deep CNN displayed greater accuracy (90.6%) compared to an alternative CNN and multilayer perceptron (MLP). A deep CNN could be adapted to classify many other activities that traditionally pose greater challenges in industrial environments due to their size and complexity.


2018 ◽  
Vol 33 (6) ◽  
pp. 929-934
Author(s):  
Kazuaki KINOSHITA ◽  
Masashi HASHIMOTO ◽  
Hidetoshi NAKAO ◽  
Kosuke OKU ◽  
Yusuke ITAYA ◽  
...  

2015 ◽  
Vol 16 (2) ◽  
Author(s):  
Nikolaos Malliaropoulos ◽  
Dimitra Mertyri ◽  
Panagiotis Tsaklis

AbstractPurpose. The purpose of the study was to find the rate of musculoskeletal injuries in ultra-trail runners, investigate the most sensitive anatomical areas, and discover associated predicting factors to aid in the effective prevention and rapid rehabilitation of trail running injuries. Methods. Forty ultra trail runners responded to an epidemiological questionnaire. Results. At least one running injury was reported by 90% of the sample, with a total of 135 injuries were reported (111 overuse injuries, 24 appeared during competing). Lower back pain was the most common source of injury (42.5%). Running in the mountains (p = 0.0004) and following a personalized training schedule (p = 0.0995) were found to be protective factors. Runners involved in physical labor are associated with more injuries (p = 0.058). Higher-level runners are associated with more injuries than lower-level cohorts (p = 0.067), with symptoms most commonly arising in the lower back (p = 0.091), hip joint (p = 0.083), and the plantar surface of the foot (p = 0.054). Experienced runners (> 6 years) are at greater risk of developing injuries (p = 0.001), especially in the lower back (p = 0.012), tibia (p = 0.049), and the plantar surface of the foot (p = 0 .028). Double training sessions could cause hip joint injury (p = 0.060). Conclusions. In order to avoid injury, it is recommended to train mostly on mountain trails and have a training program designed by professionals.


2020 ◽  
Vol 19 (1) ◽  
Author(s):  
Kusnadi Kusnadi ◽  
Aulia Fashanah Hadining ◽  
Wahyudin Wahyudin

<span lang="EN">Production results that are handled manually are lifting the burden of jerry cans weighing 24 kg from the conveyor to the pallet. This removal process is risky for musculoceletal and can cause lower back pain. The appointment process takes place in the packing line section D. The purpose of this study is to determine the level of risk, find out the form of conveyor in accordance with working conditions and provide recommendations for corrective actions to be taken when the operator's work attitude has the risk of injury. The assessment of work posture is based on the assessment of RULA for each part (upper arm, forearm, wrist, wrist rotation, back, neck, and leg position) which are then categorized based on the results of the grand score on the action level indicating that the posture is required repair or not. The results of this study found that 3 workers for the grand score of work posture an average of 7 which indicates the need for action now. This is influenced by heavy loads with manual lifting</span>.


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