Recovery Effects of Repeated Exposures to Normobaric Hyperoxia on Local Muscle Fatigue

2014 ◽  
Vol 28 (8) ◽  
pp. 2173-2179 ◽  
Author(s):  
Yuka Yokoi ◽  
Ryuya Yanagihashi ◽  
Katsuyuki Morishita ◽  
Noboru Goto ◽  
Takayuki Fujiwara ◽  
...  
2014 ◽  
Vol 26 (3) ◽  
pp. 455-460 ◽  
Author(s):  
Yuka Yokoi ◽  
Ryuya Yanagihashi ◽  
Katsuyuki Morishita ◽  
Takayuki Fujiwara ◽  
Koji Abe

Author(s):  
Soon Young Kwon ◽  
Chung Yill Park ◽  
Jung Wan Koo ◽  
Hyeon Woo Yim ◽  
Kang Sook Lee

2006 ◽  
Vol 15 (4) ◽  
pp. 312-325 ◽  
Author(s):  
Hsiao-Yun Chang ◽  
Chen-Sheng Chen ◽  
Shun-Hwa Wei ◽  
Chi-Huang Huang

Context:Fatigue of the shoulder rotator muscles may negatively affect joint position sense (JPS) and ultimately lead to injury.Objective:Recovery of shoulder JPS after muscle fatigue.Design:A repeated-measures study.Setting:Musculoskeletal research laboratory.Patients:Thirteen subjects participated in joint position error tests and isokinetic concentric strength assessment in shoulder rotation, before and after rotator muscle fatigue.Interventions:Local muscle fatigue was induced using isokinetic concentric contractions of the shoulder rotator muscles.Main Outcome Measurements:Shoulder rotator strength and JPS error signals were measured before fatigue, immediately after fatigue, and every ten minutes thereafter for one hour.Results:Before shoulder rotation muscle fatigue, the accuracy of shoulder JPS was 2.79 ± 1.67 degrees. After muscle fatigue, the accuracy decreased to 6.39 ± 2.90 degrees. Shoulder JPS was influenced up to 40 minutes after muscle fatigue, but shoulder strength was only affected for 10 minutes after muscle fatigue.Conclusions:Proprioceptive recovery was slower than strength following fatigue of the shoulder rotators.


Author(s):  
David B. Segala ◽  
David Chelidze ◽  
Jeffrey M. Schiffman ◽  
Deanna Gates ◽  
Jonathan Dingwell

Both athletes and soldiers subject their body to extensive prolonged movements at the price of completing their tasks. The purpose of his study is to show that phase space warping (PSW) concept and smooth orthogonal decomposition (SOD) can be used to extract muscle fatigue related information from easily obtainable and noninvasive movement kinematics data. Two experimental setups are considered: load carrying soldiers walking on a treadmill and subjects performing a sawing motion. PSW and SOD based fatigue related trends are compared against local muscle fatigue markers obtained from surface electromyography (sEMG) measurements. In particular, a decrease in the mean power frequencies (MNF) or median power frequencies (MDF) of the sEMGs are used to indicate the onset of muscle fatigue, since a muscle fatigue causes a shift in the power spectrum of sEMG to lower frequencies.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
John Nassour ◽  
Guoping Zhao ◽  
Martin Grimmer

AbstractTo minimize fatigue, sustain workloads, and reduce the risk of injuries, the exoskeleton Carry was developed. Carry combines a soft human–machine interface and soft pneumatic actuation to assist the elbow in load holding and carrying. We hypothesize that the assistance of Carry would decrease, muscle activity, net metabolic rate, and fatigue. With Carry providing 7.2 Nm of assistance, we found reductions of up to 50% for the muscle activity, up to 61% for the net metabolic rate, and up to 99% for fatigue in a group study of 12 individuals. Analyses of operation dynamics and autonomous use demonstrate the applicability of Carry to a variety of use cases, presumably with increased benefits for increased assistance torque. The significant benefits of Carry indicate this device could prevent systemic, aerobic, and/or possibly local muscle fatigue that may increase the risk of joint degeneration and pain due to lifting, holding, or carrying.


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